K4`~~ @@@ @@@@VSFI]~p~ EN DB ~ %Uj]]j;!2H;jjjjjdEjh];HjlEv+Q8Rp:zz;.'E!\G]_d?%]xww`Z ;3>=NYd{B 111P1)T\#**(#LScD`Z"Pj{3=<H\V2H_-;s<>!;D<[]=qq1!ic/2#{6 St Brandon2002[ Craig1997W Faust2001mV Green2003q Kisely200073,Mental Health Statistics Improvement Program2003J[' Ohio Department of Mental Health2004E Rooney20000m_XTexas Department of Mental Health and Mental Retardation Program Statistics and Planning2003l @@xplains how to enter Outcomes data, how to search and modify existing records in the Template, how to generate reports, and how to export Outcomes files. You may refer to the different sections of this guide as needed. However, new  @@xplains how to enter Outcomes data, how to search and modify existing records in the Template, how to generate reports, and how to export Outcomes files. You may refer to the different sec00000000000000000C8001F000B43616C6C204E756D6db{ Thabet2000P Thabet2004 Thabet2004kODThe International Classification of Mental and Behavioural Disorders WHO, 1992 The OM TeamYearGohThe Strategic Planning Group for Private Psychiatric Services Data Collection and Analysis Working Group2000 Thomas1996 Thomas20020QThomason2003Thompson2000VThompson2003 Thomsen1995 Thomsen1997 Thornicroft1999 Thornicroft1999. Thornicroft1999 Thornicroft2000 Thornicroft2001 Thornicroft2001 Thornicroft2002 Thornicroft2003 Tickle-Degnen2002 Tillman2003= Tillman2004Tirapu Ustarroz1999|Tischler2001Tischler2002PTischler2004Tischler2004 Tkaczuk2001V Tobias20032 Tobias2004 Todd19959~ Tonstad1996 Tonstad1997 Topinkova2000r Torres20000Torres-Gonzales2002 Torri2001 Tosini19988 Tousignant1999h Towlson2004Townsend20022O Trainor2001 Tramontina2000 Trauer1995 Trauer1997 Trauer1997 Trauer1998 Trauer1998 Trauer1998 Trauer1998 Trauer1998 Trauer1999- Trauer1999< Trauer1999 Trauer20008 Trauer2000 Trauer2001 Trauer2001Q Trauer2001 Trauer20012 Trauer2002 Trauer20023 Trauer2002R Trauer2002 Trauer2003 Trauer2004 Trauer2004K Trauer20040 Trauer2004 Trauer2004 Trauer2004Treffers2003 Trepanier2003 Tribe2000 Tribe2002 Trimble2000Tripathi2001T TriWest Group2001 Trompeter2003 Truman2003 Tsaltas1997Tsiantis2003 Turner19959 Turner19966n Turner20044 Turrina1998Tusaie-Mumford1996 Tyrer2002 Uehara1994fUesseler2004V Uitenbroek2003| Unger2003 Updike19899 Uttaro2002 Uys1996 V'Ant Hoff2002 Vaccaro2001Y Valdez19899. 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Vanderpyl2003p Vandvik1990j Vandvik1994~ Vandvik1996 Vandvik1997 Vannier1995XVarghese19955 Varner19999 Varner20000 Varner20010> Vasudevan1987 Vauras20010 Vega20030a Veit1983QVeldhuyzen van Zanten1999rVelikova2001> Venkatapathy1987 Verdeli1998u Verdeli2004Verhulst1997 Vermeer2001 Vermeersch2003w Vermeiren2004 Vieweg1998 Vieweg1998 Viscoli2001 Vogel1996 Vogel2003 Vogelzang2001 von Knorring1999 Von Morgen2001 Voruganti1999 Voruganti2000 Voruganti2002 Voss20010{Vostanis2000|Vostanis2001Vostanis2002RVostanis20033LVostanis20044PVostanis2004Vostanis2004w Vreugdenhil2004 Waarst2003V Wackwitz Wadden1995 Wade20020o Waldron2001 Walker1989 Walker1990J Walker2003 Wallace2001 Wallace2004T Wallander1995 Waller19944 Waller19955 Waller1995 Waller19955 Waller19979Walmsley1996 Walmsley1998 Walter1996 Walter1998 Walters2002 Walters2003| Wang20030 Wanstrath1994$ Ward20012 Ware1980a Ware1983 Ware1984 Ware19889 Ware19881M Ware19919A Ware1992A Ware19931B Ware19941< Ware19951 Ware20030 Warner19909 Warner20022 Watson1999 Watson1999g Way2004K Weinstein1989 Weir19989O Weiss1987F Weiss1990 Weiss1995 Weiss1996Weissman1990Weissman1998uWeissman200440 Welfare2004 Welham2001t Weller20022s Weller20033 Wells1984Y Wells1989 West19969Westhoff20020| Wever1995 Whipple20031 Whisner2002 White1998 White20007 White2001 White2001W White2003 Whiteford1996 Whitton1997Y Whitton1999Z Whitton1999j Wichstrom1996 Wickramaratne1998u Wickramaratne2004SWidawski19999 Wiersma2002 Wiese2003 Wiggs2004 Wilber19969 Wilcock2001 Wilcox1997 Wilcox1999 Wilde2001 Wilkins2001[ Wilkinson1995 Wilkinson1997 Wilkinson19997 Wilkinson2001V Wilkinson2003Williams2000Williams20010Williams20033Williams2004x Williamson2004 Wilson20033? Wilson20044 Windle200301 Window19999 Winefield2000 Wing19979, Wing1998 Wing1999+ Wing1999Y Wing19999Z Wing19999f Wing19991g Wing19991S Wing1999 Wing2000, Wingo1993y Winkel2002 Wipke Tevis2002 Wipke-Tevis2001T Wise2004 Wiseman2002 Woerner2000 Wolfe2003 Wolke2000 Wolke2002 Wong20022 Wong2002DO Wood2001 Wood20012 Woodham2003 Woods2002Woodside2003 Wooff2001 Wooff2002 Wooff2003v Woolverton1996World Health Organization2003 Worling2001W Worrall2003 Wotring2004w Wouters2004. Wright1999r Wright20010 Wright2002 Wright2003 Wu19929 Wu19921 Wu20010Wudarsky2002j Wynne1996 Wyrwich2000h Wyshak2001= Yadava2001= Yadava2001 Yager1990 Yam2002Yamauchi20000Yamauchi2001Yamauchi20020 Yamini-Diouf2003/ Yard19999* Yates1999U Yates2000[ Yates2000( Yellowlees1997 Yellowlees2000 Yellowlees2003C Yonah2004 Young2000R Young2003L Young2004 Youngstrom2003 Youngstrom2003v Youngstrom2004 Yuen20033 Yung2003K Yung20042u Yurgelun-Todd1995Z Zaizov19999 Zapart1999s Zaslavsky2002 Zaslavsky2003c Zautra1988U Zautra19891U Zealand2002 Zeh2001 Zelkowitz1996 Zelkowitz1996 Zeman1990 Zera20030 Zhang1999 Zhang2001 Zieman20000p Zika1992S Zima1999Zimerman20033 Zimmerman1989 Zimmerman2001 Zimmerman2001 Zimmermann2000 Zizolfi1997Zlotolow19966 Zuckerman2001 Zuckerman2001 Zulu1996Zwygart-Stauffacher2001Wyrwich2000h Wyshak2001= Yadava2001= Yadava2001̰Yamauchi20000Yamauchi2001̾Yamauchi20020/ Yard19999* Yates1999 Yellowlees2000 Yellowlees2003C Yonah2004 Young2000  Yuen20033 Yung2003u Yurgelun-Todd1995Z Zaizov19999 Zaslavsky2002 Zaslavsky2003c Zautra1988U Zautra19891 Zhang2001p Zika1992S Zima1999̪ Zimmerman1989 Zimmerman2001 Zimmerman2001 Zizolfi1997 Zuckerman2001 Zuckerman2001 Zulu1996̽Zwygart-Stauffacher20012001ion2003v,<3Jk+E$?K<LISQhC8%ij]x_Xq]g#0DF`Z ;Re'50"$a{3)=NC|@LcO[y(p\o& [P>s:Z/ud-."@j z9^;f.HgB AQDEOY25&_I1V6T4tP !1N-#Bi)Twl ~GW Authors [Journals)KeywordsA q                                X ., Trauer T and Eagar K (),&2001 Colarado Best Practice Work Group Aarseth, Jon Aasland, A. Abas, M. Abas, Melanie Abbey, S. E. Abbey, SusanAchenbach, T. M.Ackerman, Steven J.Ad-Dab'bagh, Yasser Adair, C.E.Adams, John W.Adams, Malcolm Addis, M. E. Addo, AmaAddy, Cheryl L. Adebisi, A.Aghababian, V.0*AHMAC National Mental Health Working Group Aitken, J.Ajzenstzen, Michal Alegria, M.Alegria, MargaritaAlessi, Norman E.Alexiou, Dimitra B.Alfaro, Cara L. Allan, S. Allan, Steven Allan, Susan Allardyce, J. Allen, Jon G. Allen, Keith Allen, LesleyAltamura, A. C.Alter, Carol L. Altschul, D.40Altschul, D., Wackwitz, J., Coen, A., & Ellis, D40American College of Mental Health Administration Amin, S.Amponsah-Afuwape, Sarahand Dickey, B. Eds.) and Drake, S. Andersen, R.$ Anderson, Ann Martha ChmielewskiAnderson, D. L.Anderson, Mary Z. Anderson, P.Anderson, Peter Andreas, S.Andrew, Jane E. Andrews, G Andrews, G.Andrews, GavinAndrews, HowardAneshensel, C., et al. Anson, RuthAntony, Martin M.Arheart, Kristopher L. Arling, G.Armbruster, P. Aronen, E. T.Aronson, M. K. Arrindell, WA Ashaye, Kunle Ashaye, O. Ashaye, O. A.Ashaye, Olakunle Asherson, P.Ashkanazi, Glenn S.Atchison, KathrynAtkinson, A. W.Attafua, Godfried Attride-Stirling, Jennifer Audin, K. Audin, KerryAugusto, Kerri Weise Auquier, P. Ausin, B. Australian Health Ministers Australian Health Ministers.<8Australian Institute for Suicide Research and Prevention0*Australian Institute of Health and Welfare41Australian Institute of Health and Welfare (AIHW)PJAustralian Institute of Health and Welfare, National Health Data Committee@:Australian Mental Health Outcomes & Classification Network@~~#~pR3OT1a]BN6;_]wHdjcwVzNPNXXv_{>1Male FemalepjMunley, Patrick H. Anderson, Mary Z. Briggs, Denise DeVries, Michael R. Forshee, Wade J. Whisner, Emily A. 2002`YMethodological diversity of research published in selected psychological journals in 1999Psychological Reports912411-420o Oct2002-08347-006 MIS-00011jc*Content Analysis; *Methodology; *Psychology; *Scientific Communication; Professional OrganizationsnReviewed 454 papers appearing in 10 journals published by the American Psychological Association during 1999 to consider the frequency of publication of qualitative research. Journals reviewed included Health Psychology, Journal of Abnormal Psychology, Journal of Consulting and Clinical Psychology, Journal of Counseling Psychology, Journal of Educational Psychology, Journal of Experimental Psychology: General, Journal of Family Psychology, Professional Psychology: Research and Practice, Psychological Assessment, and Psychology and Aging. Papers were classified as quantitative, qualitative, or mixed qualitative/quantitative studies. Quantitative papers were also dichotomously classified as either primarily descriptive or experimental. Qualitative studies were classified by type of qualitative methods specified by the authors. Most papers (97.6%) were classified as quantitative. Only three journals reviewed published qualitative studies. (PsycINFO Database Record (c) 2003 APA )Englishs.(http://www.pr-pms.com/index.cfm?page=subu a&Veit, Clairice T. Ware, John E.  1983TMThe structure of psychological distress and well-being in general populationsc4-Journal of Consulting and Clinical Psychology515c730-742 Octd 0022-006Xd MHI-000380@:Human; Adolescence (13-17 yrs); Adulthood (18 yrs & older) Distress; Factor Analysis; Inventories; Mental Health; Test Construction; Test Reliability; Test Validity development & factor structure & validity & reliability of Mental Health Inventory; measurement of psychological distress & well-being; 13-69 yr oldsDescribes the development of the Mental Health Inventory (MHI), a 38-item measure of psychological distress and well-being, developed for use in general populations. The MHI was fielded in 4 large samples (N = 5089) of Ss aged 13-69 yrs. One data set was used to explore the MHI's factor structure, and confirmatory factor analyses were used for cross validation. Results support a hierarchical factor model composed of a general underlying psychological distress vs well-being factor; a higher order structure defined by 2 correlated factors--Psychological Distress and Well-Being; and 5 correlated lower order factors--Anxiety, Depression, Emotional Ties, General Positive Affect, and Loss of Behavioral Emotional Control. Summated rating scales produced high internal consistency estimates and substantial stability over a 1-yr interval. Results provide strong psychometric support for a hierarchical model and scoring options ranging from 5 distinct constructs to reliance on 1 summary index. (36 ref) (PsycINFO Database Record (c) 2003 APA )LFDoi 10.1037//0022-006x.51.5.730 Peer Reviewed Journal; Empirical Study'("Rand Corp, Santa Monica, CA [Veit]jcVerdeli, Helen Ferro, Tova Wickramaratne, Priya Greenwald, Steven Blanco, Carlos Weissman, Myrna M.b 2004VPTreatment of Depressed Mothers of Depressed Children: Pilot Study of FeasibilityDepression & Anxiety191 51-58 1091-4269 CGA-00089*Human; Male; Female; Childhood (birth-12 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs); Adulthood (18 yrs & older) Family Background; Major Depression; Mothers; Offspring; Treatment Outcomes; Risk Factors; Social Interaction depressed mothers; depressed children; treatment outcome; depression; maternal depression; social functioning; risk factors; Children's Depression Inventory; Beck Depression Inventory; Hamilton Rating Scale for Depression; Social Adjustment Scale; Test of Nonverbal Intelligence Children's Depression Inventory; Beck Depression Inventory; Hamilton Rating Scale for Depression; Social Adjustment Scale; Test of Nonverbal IntelligenceBhZ|R6p+<hO__w-L <@1 K-v;-9i  ?i $T -NPDB$lB`"l$N_%?9: ;K,hw2<.0D@pk%s2;)IqLQgHqqCEwJ];/v|P!gXP:j ^ LD@ Annals of Behavioral Medicine. Vol 25(3), Sum 2003, pp. 214 221XR International Journal of Behavioral Development. Vol 26(4), Jul 2002, pp. 371 381@< Social Behavior & Personality. Vol 30(7), 2002, pp. 671 68240Accident analysis and prevention Accid Anal PrevActa Psychiatr Scand$Acta Psychiatrica Scandanavica$Acta Psychiatrica Scandinavica$Actas Esplanolas de Psiquiatria("Actas Luso-Eso. Neurol. Psiquiatr.Age and ageing Age AgeingAging & Mental HealthAging and Mental HealthAging Mental HealthHCAJournal of the American Academy of Child and Adolescent Psychiatry$!American heart journal Am Heart J85American journal of clinical nutrition Am J Clin NutrHBAmerican journal of drug and alcohol abuse Am J Drug Alcohol Abuse,'American Journal of Forensic Psychology83American journal of medical genetics Am J Med Genet(#American Journal of Medical Quality,(American Journal of Occupational Therapy(#American Journal of Orthopsychiatry,'American Journal of Preventive Medicine$American Journal of Psychiatry$!American Journal of Public HealthAmerican Psychologist$!American Sociological Review. Vol(#Analisis y Modificacion de Conducta Annales Medico-Psychologiquesd_Annals of oncology official journal of the European Society for Medical Oncology ESMO Ann OncolhcAnnals of surgical oncology the official journal of the Society of Surgical Oncology Ann Surg Oncol4/Archives of disease in childhood Arch Dis Child`]Archives of disease in childhood. Fetal and neonatal edition Arch Dis Child Fetal Neonatal Ed$Archives of General Psychiatry,(Arthritis and rheumatism Arthritis RheumAustralasian Psychiatry<9Australian & New Zealand Journal of Mental Health Nursing4.Australian & New Zealand Journal of Psychiatry0+Australian & New Zealand Journal Psychiatry40Australian and New Zealand Journal of PsychiatryPLAustralian and New Zealand journal of public health Aust N Z J Public Health0-Australian and New Zealand Journal Psychiatry<9Australian e-Journal for the Advancement of Mental HealthAustralian Health Review`]Australian health review a publication of the Australian Hospital Association Aust Health Rev$ Australian Journal of Psychology<6Australian journal of rural health Aust J Rural Health0,Australian New Zealand Journal of PsychiatryBehavior TherapyBehavioral Assessment$Behavioral Healthcare Tomorrow Behavioral Sciences the LawBehaviour ChangeBehaviour Modification Behaviour Research & Therapy$Behaviour Research and therapyBehaviour TherapyBiological Psychiatry BiometricsBMJ BMJ: British Medical Journal(%British journal of cancer Br J Cancer,&British Journal of Clinical Psychology0,British journal of dermatology Br J Dermatol0+British Journal of Developmental Psychology,)British Journal of Educational Psychology($British Journal of Health Psychology(%British Journal of Medical Psychology,'British Journal of Occupational Therapy British Journal of Psychiatry British Journal of Psychology$British Journal of Social Work$Canadian Journal of PsychiatryCanadian Journal on Aging Cancer Cancer Casemix&np&%N$`4#\" (!Ohio Department of Mental Health,c 2002leOutcomes Data Reports Workgroup Meeting Minutes 2002. Ohio Mental Health Consumer Outcome Initiative.. & Ohio Department of Mental Health USA-OH-00012*The Statewide Outcomes Data Reports Workgroup was convened in January 2002 to provide guidance to the Ohio Department of Mental Health regarding the content and format of data reports generated from the statewide aggregated Outcomes database. In keeping with the values of the Outcomes Task Force, and to insure data reports were useful to local systems, workgroup membership included providers, board staff, consumers and family members. The Workgroup completed its work in December 2002.e@9http://www.mh.state.oh.us/initiatives/outcomes/sodrw.htmli(!Ohio Department of Mental Health,e 2002TMOutcomes User Group Minutes 2002: Ohio Mental Health Consumer Outcomes System\ USA-OH-00010*eOutcomes Users Group Mission: To provide a venue for local systems to exchange ideas, share products developed locally, and to seek answers to questions in order to facilitate successful implementation of the ODMH Mental Health Consumer Outcomes System. When statewide implementation issues are identified and brought forth by local systems, the Users Group will discuss the issues, recommend solutions, and present these recommendations to the MACSIS POP Team for inclusion in the Outcomes section of the MACSIS Guidelines Document. Participation in the Outcomes Users Group is voluntary but strongly recommended. Representatives from provider agencies and boards in all phases of implementation are encouraged to participate.<6http://www.mh.state.oh.us/initiatives/outcomes/ug.html(!Ohio Department of Mental Health,e 2002\UOutcomes Data Mart Committee Minutes. Ohio Mental Health Consumer Outcome Initiative.n(!20 August 2002 - 26 February 2004 USA-OH-00007*A sub-committee of the Statewide Data Reports Workgroup, the Outcomes Data Mart Committee was convened in August 2002 for the purpose of providing guidance to ODMH regarding the content, format and structure of the Outcomes Data Mart. The committee is charged with determining what the Data Mart should be able to do, as well as recommending the data elements to be included. To follow the progress of the Outcomes Data Mart Committee, read the meeting minutes posted below<6http://www.mh.state.oh.us/initiatives/outcomes/dm.html (!Ohio Department of Mental Health, 2002`YConsumer Outcomes Incentive Grant Report. The Ohio Mental Health Consumer Outcomes Systemd July 2, 2002 USA-OH-00006*r^XThe Center for Mental Health Services (CMHS) awarded ODMH three million dollars in federal block grant funds to support Outcomes implementation at the local level. Forty-three local systems received these grant monies. As part of the grant agreement, the ODMH Outcomes Team monitored implementation and periodically collected progress reports from grant recipients. The Incentive Grant Final Report provides information about implementation successes and challenges, strategies used for overcoming challenges, and anticipated challenges in continued implementation, as identified by grant recipients.D>http://www.mh.state.oh.us/initiatives/outcomes/dusegrfinal.pdf(!Ohio Department of Mental Health,e 2003:4The ODMH Data Entry & Reports Template. Users Guide USA-OH-00026*{Welcome to the Data Entry and Reports Template Users Guide! This Users Guide is intended to provide helpful information regarding the installation and use of the Template. It is divided into several sections, starting with an overview of the Template, information on downloading and installing the Template and an explanation of how to navigate through the Template. The next section of the guide explains how to enter Outcomes data, how to search and modify existing records in the Template, how to generate reports, and how to export Outcomes files. You may refer to the different sections of this guide as needed. However, new users are encouraged to read each section in order.(!Ohio Department of Mental Health,e 2003Scoring Guidelines USA-OH-00025*f (!Ohio Department of Mental Health,n 200381Instructions for Installing the Reports Generator3 USA-OH-00024* (!Ohio Department of Mental Health,e 2003TMOutcomes User Group Minutes 2003. Ohio Mental Health Consumer Outcomes Systema USA-OH-00011*{Outcomes Users Group Mission: To provide a venue for local systems to exchange ideas, share products developed locally, and to seek answers to questions in order to facilitate successful implementation of the ODMH Mental Health Consumer Outcomes System. When statewide implementation issues are identified and brought forth by local systems, the Users Group will discuss the issues, recommend solutions, and present these recommendations to the MACSIS POP Team for inclusion in the Outcomes section of the MACSIS Guidelines Document. Participation in the Outcomes Users Group is voluntary but strongly recommended. Representatives from provider agencies and boards in all phases of implementation are encouraged to participate.e<6http://www.mh.state.oh.us/initiatives/outcomes/ug.html (!Ohio Department of Mental Health,  2003<5Initial Statewide Consumer Outcomes Report Appendices  USA-OH-00005*tThese appendices to the Initial Statewide Report present frequencies and percentages for individual items contained on each of the six main Outcomes instruments for individuals' most recent ratings in the statewide database.HBhttp://www.mh.state.oh.us/initiatives/outcomes/duseinitrptapp.html (!Ohio Department of Mental Health,  2003(!Initial Statewide Outcomes Report0 0*Office of Program Evaluation and Research. February 2003. USA-OH-00004*oVOThe purpose of this report is to provide an initial view of the data in the statewide Outcomes database by describing the state of the state. This report is intended to provide all constituents in the mental health system with statewide data that they can use to compare an individuals scores or average agency or board area scores.D>http://www.mh.state.oh.us/initiatives/outcomes/duseinitrpt.pdf (!Ohio Department of Mental Health,T 2003:3Statewide Outcomes Report 2: Adult Symptom Distress. 0*Office of Program Evaluation and Research. June 2003 USA-OH-00003*WThe purpose of this report is to provide a closer look at symptom distress as measured by a scale included on Adult Consumer Form A (completed by adults with severe and persistent mental illness) and Adult Consumer Form B (completed by adults with less severe mental illnesses) of the Ohio Mental Health Consumer Outcomes System. As with the Initial Statewide Report1, this report is intended to provide constituents in the mental health system with statewide data that they can use to compare an individuals scores or average agency or board area scores. At this time, approximately 30% of Adult A consumers, and slightly less than one-quarter of Adult B consumers, are represented in this report; therefore, data should be used with caution.B;http://www.mh.state.oh.us/initiatives/outcomes/duserpt2.pdfM(!Ohio Department of Mental Health,n 2004("Outcomes Weekly Test Status Report USA-OH-00027~ (!Ohio Department of Mental Health,n 2004&Outcomes Record Required Fieldsh USA-OH-00023*} (!Ohio Department of Mental Health,n 2004Missing Data Report 2: Individuals with Outcomes Ratings in the Statewide Database Compared to Individuals with Eligible Claims. Ohio Mental Health Consumer Outcomes System,%October 1, 2002 to September 30, 20030 USA-OH-00020*00 T$Boot, B. Hall, W. Andrews, G.n 1997LFDisability, outcome and case-mix in acute psychiatric in-patient units$British Journal of Psychiatry 171 242-6 Sep9337977d HON-00019dRL*Hospitalization statistics and numerical data; *Hospitals, General statistics and numerical data; *Hospitals, Private statistics and numerical data; *Hospitals, Psychiatric statistics and numerical data; *Mental Disorders therapy Adolescent ; Adult ; Aged ; Aged, 80 and over; Australia ; Diagnosis Related Groups; Forecasting ; Hospitalization economics; Hospitals, General economics; Hospitals, Private economics; Hospitals, Psychiatric economics; Length of Stay; Mental Disorders economics; Middle Aged; Outcome Assessment Health Care economics; statistics and numerical data; therapyBACKGROUND: Eighteen acute in-patient psychiatric units in Australia funded a syndicate to measure case-mix, disability and outcome of treatment. This syndicate included eight units in public general hospitals, five in stand-alone public psychiatric hospitals and five in private psychiatric hospitals. METHOD: Up to 100 in-patients admitted consecutively to each hospital (1359 in all) were assigned to a Diagnosis-Related Group (DRG), rated on the Health of the Nation Outcome Scales (HoNOS) and asked to complete the Medical Outcomes Trust Short Form 36 (SF36). These scales were administered again at discharge. Demographic information and length of stay were also recorded. Disability was measured by scores on the HoNOS and SF36 at admission, and outcome was assessed by the change in scores between admission and discharge. RESULTS: The public hospitals treated significantly more patients with schizophrenia and fewer with affective disorders, and their case load on admission was more disabled, on the whole, than that of the private hospitals. They achieved the same outcome or health gain as the private hospitals, but needed a shorter length of stay to do so. The addition of disability scores to DRG moderately increased the ability to predict length of stay. CONCLUSIONS: Routine outcome assessment using reliable and valid instruments is practical, and could lead to improvements in the quality of care for psychiatric patients.t0007-1250 Englishv'b\National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia.issing data should be handled. Every Outcomes record that a Board includes in a file submitted to ODMH must adhere to these specifications or the file will be rejected.B;http://www.mh.state.oh.us/initiatives/outcomes/dfspecs.htmlm (!Ohio Department of Mental Health,  YearHAOutcomes Instruments. Ohio Mental Health Consumer Outcomes Systemi USA-OH-00013*nD>Outcomes instruments are administered to adults with severe and persistent mental illness and their service provider as well as adults in the general mental health population. The domains measured include Clinical Status, Quality of Life, Functioning Status, Safety and Health, and Empowerment. To measure outcomes for youth, three parallel forms were developed (Ohio Scales) for completion by the youth client, the youth's parent or primary caretaker, and the youth's agency worker. The domains measured include Problem Severity, Functioning, Hopefulness, and Satisfaction.B;http://www.mh.state.oh.us/initiatives/outcomes/insteng.htmllR)L=)Lq4<LeVRcz5ZZ32eBHf ([-|B1?! loPEXVE<Gw*3lN*_!VG[_fI~j#CuZGzes cft~i\{{Qo#)W-F ASi(Axlzdef GVO[Xhx3Z[63Ey@@e\9A~Q8!5DQNSS# ;876x53HJGFED LJDz 4-Mental Health Statistics Improvement Program,- 1965&The Rosenberg Self-Esteem Scale\USA-MHS-00017* 4-Mental Health Statistics Improvement Program,f 1996<5The MHSIP Consumer-Oriented Mental Health Report CardUSA-MHS-00001*0*http://www.mhsip.org/reportcard/index.html4-Mental Health Statistics Improvement Program,d 2003Thursday Presentations8252st Annual Conference on Mental Health StatisticsUSA-MHS-00007*pjPresentation topics: Real-time Decision Support for Clinical Staff; Developing and Using Performance Measures to Monitor Goals in the State of Utah Mental Health Plan; Consumer Involvement in Evaluating a Recovery-based Systems Change Initiative; The Co-Occurring and Other Functional Disorders (COFD) Assessment Tool; Developing Performance Measures for State Plans; Development and Implementation of a Recovery-Based System: Comparison of Instruments for Assessing Recovery; Herding Cats: System Change in Response to Budgetary Considerations; Involvement with the Criminal Justice System Using Existing Administrative /Operational Data to Measure Service System; Minimum Cost Web Based System Development and Implementation: Realizing the Vision of Decision Support 2000+ and Meeting HIPAA Requirements; Using Adult Consumer Outcomes to Support Recovery and Treatment Planning; The Goldilocks Effect: What happens when consumers and clinicians are free to decide how much and what kind of treatment is "just about right"; Partnerships with Industry: Maximizing ROI In a Time of Severe Economic Austerity; Defining Annual Estimates of Service Recipients From Periodic Survey Data; Child & Adult Integrated Reporting System; Improving Assessment, Treatment and Outcomes for Older Adults with Mental Disorders; Using a State - Wide Recovery Self - Assessment to Implement and Inform Recovery Policies; Data for Olmstead Planning; Investing in Quality: Putting Your Money Where Your Values; Using Common Measures Across Systems: A Cost Effective, Data Based, Collaborative Approach to Planning and Evaluating Recovery Based Programs; Peer Specialist How Do We Find The Role?; Creating a Learning Community for Data-Based System Planning: An 8 - Year Experience in Quality of Life Assessment; A Brief History of Evidence - based Practice and a Vision for the Future; Science to Services Initiative; TRIAD Treatment/Recovery Information and Advocacy Database; Using the Community Mental Health Block Grant To Promote the Implementation of Evidence - Based Practices; Common Measures for Adult Mental Health Services: A Proposal for Widespread Implementation4-http://www.mhsip.org/Presentations03thurs.htm4-Mental Health Statistics Improvement Program,d 2003Wednesday Presentationsl8252st Annual Conference on Mental Health StatisticsUSA-MHS-00006*Presentation Topics: Consumer Health Related Quality of Life; Criminal Justice Involvement: The Challanges of an Approach to Obtain Data and Address Clinical Needs in the District of Columbia; Consumer Outcomes Tracking Washington State: A Statewide Initiative; Predictors of Caregiver - Reported Improvement in Child Behavior and Functioning; Employment Services and Employment Rates: Using Cross-Sector Data to Evaluate Cross-Sector Service Delivery;Mental Health and Substance Abuse Block Grants and the Demand for MH/SA Services in the Private Sector;System Care Assessment Measures Predict Clinical Outcomes; MHSIP Data Inform Recommendations to South Dakota Legislature;Can Medicaid Managed Care Strategies Contain Costs and Promote Resiliency and Recovery?; Bringing Alive The Outcome Data: Measuring the Recovery Process and Improving the Delivery of Clinical Services for Adults with Serious Mental Illness; Performance And Outcome Measurement As A Tool For Advocacy;Enhancing Recovery Through Dialogue on Faith and Spirituality;Tying Data to Planning? Go Figure! Oklahoma's Constituent Survey Evaluation Initiative; Integrating Treatment for Substance Use Disorders in Mental Health Services; The Relationship Between Consumer and Clinician Perception of Health Outcomes; Implementing Evidence-Based Practices In Routine Mental Health Settings: An Access Application for Outcome Reporting; NorthSTAR Data Warehouse: Collecting and integrating data to manage and learn; NorthSTAR Quarterly DataBook; Behavioral Organizations Resource Gateway - Solving the problem of HIPPA Compliant Electronic Medical Record Sharing and validation between collaborating organizations using open techonology ;Reducing Geographic Disparities in Mental Health Access, Utilization and Cost: Implications for Policy and Planning;The Georgia DSS Model Status and Products;. Coalitions for Youth Violence Prevention Using data to achieve sustainable youth violence prevention programs; Rural Behavioral Health: Using Data to Analyze Outcomes & Costs2+http://www.mhsip.org/Presentations03wed.html4-Mental Health Statistics Improvement Program,d 2003 Block Grant Presentations.8252st Annual Conference on Mental Health StatisticsUSA-MHS-00005*Presentation topics: How Will Evidence Based Practice Help Me In My Recovery?; Creating A Resilient Behavioral Health Environment; Implementing Evidence-Based Practices: What Stakeholders Need to Know4-http://www.mhsip.org/Presentations03block.htmt4-Mental Health Statistics Improvement Program,d 2003Plenary Presentationsd:352st Annual Conference on Mental Health Statistics:eUSA-MHS-00004*Presentation Topics: DS2K+ Tools for Quality and Benchmarking; Co-Creating a Vision for the Future: The President's New Freedom Commission on Mental Health; Mental Health Recovery: What Helps and What Hinders? A National Research Project for the Development of Recovery Facilitating System Performance Indicators; Recovery Plenary: A Recovery Oriented System and Its Measurement; Recovery Plenary: The Recovery Enhancing Environment Measure (REE): Using Measurement Tools to Understand and Shape Recovery - Oriented Practice; Developing and Implementing A Recovery Oriented System; Partnering in Performance and Data - SAMHSA and the States and Performance Partnerships6/http://www.mhsip.org/Presentations03plenary.htm4-Mental Health Statistics Improvement Program,d 2003"Preconference Presentations\8252st Annual Conference on Mental Health StatisticsUSA-MHS-00003*jcPresentation Topics: The Second - Generation MHSIP Report Card: Toolkit Version; The Second - Generation MHSIP Report Card: Progress Report; Using Data for Planning: URS, PPG and Thee; MHSIP Report Card Version 2: The Transition; Data Workshop; American Managed Behavioral Healthcare Association; The Second - Generation MHSIP Report Card: Progress Report2+http://www.mhsip.org/Presentations03pre.htm 4-Mental Health Statistics Improvement Program, Year>8Tables Relating Measures to Data Sources and PopulationsUSA-MHS-00024* 4-Mental Health Statistics Improvement Program, YearD=MHSIP Mental Health Report Card Enrollment/Encounter Data SetiUSA-MHS-00022*4-Mental Health Statistics Improvement Program, Year$Proposed Consumer Survey ItemsUSA-MHS-00021* 4-Mental Health Statistics Improvement Program, Year@:Symptom Distress Scale (Adapted from Symptom Checklist-90)USA-MHS-00020* 4-Mental Health Statistics Improvement Program, Year Standardized Instruments.fUSA-MHS-00019*Abnormal Involuntary Movement Scale (AIMS) Examination Procedure, SYMPTOM DISTRESS, CLINICIAN ALCOHOL USE SCALE, CLINICIAN DRUG USE SCALEo 4-Mental Health Statistics Improvement Program, Year.'MHSIP Report Card 2.0 Workgroup Members USA-MHS-00016*>RLRungreangkulkij, Somporn Chafetz, Linda Chesla, Catherine Gilliss, Catherine 2002NGPsychological morbidity of Thai families of a person with schizophreniai.(International Journal of Nursing Studies391i 35-50n Jan  0020-7489 LSP-00019*Human; Male; Female; Adulthood (18 yrs & older); Thirties (30-39 yrs); Middle Age (40-64 yrs) Thailand Emotional Adjustment; Family; Mothers; Schizophrenia; Stress family stress; psychological morbidity; schizophrenia; mothers; relativesStudied families of persons with schizophrenia in rural Thailand, using the resiliency model of family stress, adjustment, and adaptation. The aim was to assess the impact of family factors on psychological morbidity of the mothers and relatives of persons with schizophrenia. 108 Thai families were interviewed based on family assessment instruments. Multiple regression analysis was performed. The findings suggest that in a stable stage of illness, other stresses of family life may have stronger impact on psychological status of family members, than the illness. Implications for clinical nurses and researchers are presented. (PsycINFO Database Record (c) 2003 APA )NHDoi 10.1016/s0020-7489(01)00005-0 Peer Reviewed Journal; Empirical Study'6/Khon Kaen U, Faculty of Nursing, Dept of Psychiatric & Mental Health Nursing, Khon Kaen, Thailand [Rungreangkulkij]; U California, School of Nursing, Dept of Community Health Systems, San Francisco, CA, US [Chafetz]; U California, School of Nursing, Dept of Family Health Care, San Francisco, CA, US [Chesla]; Yale U, School of Nursing, New Haven, CT, US [Gilliss] Email Address [mailto:somrun@kkul.kku.ac.th] Contact Individual Rungreangkulkij, Somporn, Khon Kaen U, Faculty of Nursing, Dept of Psychiatric & Mental Health Nursing, Khon Kaen, Thailand, 40002;  i$"hard-to-manage" 3.6-4.6 yr old& acquiescence4.& Global Assessment of Psychosocial Disability85& Mental Health Inventory in screening for depressionDA& suicidal behavior & psychiatric disturbance & sex & comorbidity (13-17 yrs)(18 yrs & older) (18-29 yrs) (2-5 yrs) (30-39 yrs)(65 yrs & older)(85 yrs & older) (Disorders) (Drug)(Not Diagnosis) (Psychiatric) (Treatment)*Ability Level*Acute Psychosis*Adaptive Behavior *Adjustment*Adolescent Attitudes*Adolescent Development,'*Adolescent Health Services utilization*Adolescent Psychiatry*Adolescent Psychology*Advance Directives*Aging psychology *Alzheimer Disease therapy*Antisocial Behavior *Anxiety*Anxiety Disorders*Aspergers Syndrome*assessment scales*At Risk Populations*Attempted Suicide4.*Attention Deficit Disorder with Hyperactivity *Behavior*Behavior Disorders*Behavior Problems*Bipolar Disorder *Bisexuality*Brief Psychotherapy *Caregivers*Case Management0,*child and adolescent mental health services*Child Attitudes$!*Child Behavior Disorders therapy *Child Care*Child Care Workers*Child Guidance Clinics("*Child Health Services utilization*Child Psychiatry*Child Psychology*Child Psychotherapy*Childhood Development*Childrearing Practices *children*Chronic Illness*Chronic Mental Illness *Client*Client Attitudes*Client Characteristics*Client Satisfaction *Clients("*Clinical Judgment (Not Diagnosis) *Clinical Methods Training *Clinicians("*Cognition Disorders complications$*Cognition Disorders psychology*Cognitive Ability*Cognitive Therapy *Cognitive Therapy methods *cognitive-behavioral therapy,)*combined psychopharmacological treatment*Community Mental Health$ *Community Mental Health Centers$!*Community Mental Health ServicesDA*Community Mental Health Services organization and administrationD?*Community Mental Health Services statistics and numerical data*Community Services *Comorbidity *Computer Assisted Testing *Conditioning*Conduct Disorder*Constructivism$ *Consultation Liaison Psychiatry*Content Analysis*Costs and Cost Analysis *Counselor Characteristics*Counselor Education *Creativity *Crime*Cues*Data Collection *Demographic*Depression (Emotion)*Depression diagnosis*Depression nursing*Developmental *Diagnosis *Disability Discrimination*Disability Evaluation*Discharge Planning *Distress 8LClient Satisfaction Clients4.clients with schizophrenia or bipolar disorder85clients with serious mental illness (mean age 47 yrs)("clients with severe mental illness Clifton assessment procedures clinical,'clinical & social functioning & quality41Clinical Competence statistics and numerical dataclinical improvementclinical judgment$!Clinical Judgment (Not Diagnosis)clinical outcomesclinical presentationClinical Psychologyclinical significanceClinical Trialsclinical utility@;clinical utility of German translation of Children's Global40clinical vs subsyndromal vs subthreshold phobias clinically referred 7-18 yrclinician diagnosisclinician ratings Clinicians Clinics clomipramine ClozapineClozapine bloodClozapine therapeutic use clubhouseCluster Analysis cognition$Cognition Disorders psychology cognitiveCognitive AbilityCognitive Assessment cognitive behavior therapy($cognitive behavioral group treatment cognitive behaviour therapyCognitive Developmentcognitive disorderscognitive flexibility &cognitive functioningCognitive ImpairmentCognitive Processes Cognitive Processing Speedcognitive remediation,'cognitive shift neurocognitive trainingCognitive TechniquesCognitive Therapy(%cognitive-behavioral family treatment cognitive-behavioral therapyCohort StudiesColic diagnosisColic epidemiologyColic psychology collaborationPKcollaboration, private psychiatrists, public sector mental health services.Collar WorkersCollege Athletescollege students(#college women victim of child abuseColumbia Impairment ScaleCombined Modality Therapycombined types of ADHDcommentary & reply Commitment communicationCommunication Skills Communities community$community based support programcommunity carecommunity functioningcommunity health care<9Community Health Services organization and administrationth Personnel education60Brooker, C. Molyneux, P. Deverill, M. Repper, J. 1999ztEvaluating clinical outcome and staff morale in a rehabilitation team for people with serious mental health problems"Journal of Advanced Nursingi291t 44-51n Jan 10064281 HON-00044**Community Mental Health Services organization and administration; *Mental Disorders rehabilitation; *Morale ; *Outcome Assessment Health Care methods; *Patient Care Team Benchmarking methods; Community Mental Health Services methods; Data Collection methods; England ; Mental Disorders economics; Mental Disorders nursing; Nursing Staff psychology; Stress, Psychological psychology methods; organization and administration; economics; nursing; rehabilitation; psychologybTameside and Glossop rehabilitation team (in England) have developed a progressive and targeted service for people with serious mental health problems through the systematic implementation of research-based evidence in practice and service configuration. This study was undertaken to provide a method of auditing the clinical outcome of the service and monitoring staff morale in a manner which could be integrated in the day to day delivery of services, and which could inform future service developments. Changes in the functioning of the total population of rehabilitation team clients were assessed over a 1-year period by Health of the Nation Outcome Scales (HoNOS) ratings at 6-monthly intervals. Factors causing stress and stress levels among all staff were assessed using the Mental Health Stress Questionnaire. The findings give clear indications of areas of the service which needed improving or changing, and identify ways in which the ongoing process of data collection might be refined.0309-2402 Englishf_Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=JAN&vol=29&page=44&goto=abstract'<5School of Nursing, University of Manchester, England.~ cholesterolemia, Familial diet therapy.'Tonstad, S. Novik, T. S. Vandvik, I. H.l 1996NHPsychosocial function during treatment for familial hypercholesterolemia Pediatrics98 2 Pt 1 249-55 Pediatrics 0031-4005 CGA-00080Hypercholesterolemia, Familial psychology Adolescent ; Case Control Studies; Child ; Child Behavior; Cholesterol, Dietary administration and dosage; Cohort Studies; Diet, Fat Restricted; Energy Intake; Hypercholesterolemia, Familial diet therapy; Hypercholesterolemia, Familial epidemiology; Interview, Psychological; Prevalence ; Psychological Tests; Regression Analysis; Risk Factors; Social Adjustment Comparative Study; Female; Human; MaleOBJECTIVE. To determine whether children treated for familial hypercholesterolemia (FH) have greater psychosocial dysfunction compared with their peers. CHILDREN. Children were 86 boys and 66 girls 7-16 years of age attending a lipid clinic. They were screened and instructed to follow a diet low in saturated fat and cholesterol 18 months to 9 years earlier (mean, 4 years), and their mean dietary intake, estimated by a quantitative food frequency questionnaire, was within recommended limits. One-fourth had lost a parent or had a parent who had had cardiovascular disease due to FH (parental disease group). METHODS. Results of the Child Behavior Checklist, Teacher's Report Form, and Youth Self-Report were compared with a population sample. A semistructured interview, the Child Assessment Schedule, was administered to the children with FH and a well-functioning comparison group from the population (epidemiologic cohort; n = 62). RESULTS. Psychosocial scores were similar in the children with FH and the population sample. The Child Assessment Schedule showed that, compared with the epidemiologic cohort, children with FH did not have increased symptoms in any area of function, and scores for family, mood, and expression of anger were lower (less symptomatic). The prevalence of psychiatric diagnoses was 10%, which was not greater than expected. Children from the parental disease group had higher symptom scores in the areas of school and expression of anger than the rest of the children with FH. Their mean Children's Global Assessment Score (CGAS, which gives average children scores of 70-79) was slightly lower (77 vs 79). Belonging to the parental disease group predicted a lower CGAS in multivariate regression analyses, as did male sex, parental divorce, and low parental educational level. These factors explained up to 19% (95% confidence interval, 9%-31%) of the variance in CGAS. CONCLUSIONS. We found that the prevalence of psychosocial dysfunction was not greater than expected in children treated for FH. Psychosocial function within the group was associated with the usual demographic characteristics and with the loss or disease of a parent, beyond the period of bereavement or immediately after the event. Aug English'<6Medical Department A, National Hospital, Oslo, Norway. *$Aasland, A. Flato, B. Vandvik, I. H. 1997PIPsychosocial outcome in juvenile chronic arthritis: a nine-year follow-up ,&Clinical and experimental rheumatology155l 561-8;Clin Exp Rheumatol 0392-856Xt CGA-00078h`YArthritis, Juvenile Rheumatoid psychology; Arthritis, Juvenile Rheumatoid therapy Adolescent ; Child ; Child, Preschool; Cohort Studies; Family Health; Follow Up Studies; Infant ; Predictive Value of Tests; Prospective Studies; Psychological Tests; Stress, Psychological psychology; Treatment Outcome Female; Human; Male; Support, Non U.S. Gov't"OBJECTIVE: To describe the long-term psychosocial outcome in a prospectively followed cohort of patients with juvenile chronic arthritis (JCA), to assess the associations between psychosocial outcome and disease variables and to explore family stressors as predictors of long-term psychosocial and physical outcome. METHODS: Fifty-two patients with JCA were assessed psychosocially at first admission to a pediatric rheumatology clinic and were reassessed 9 years later. Assessment methods included semi-structured psychiatric interviews and standardized parental questionnaires and self-reports. RESULTS: At follow-up, 9 patients (17%) fulfilled the criteria for a psychiatric diagnosis and 8 (15%) had mild to moderate impairment in psychosocial functioning (children's or adult Global Assessment Scale). Mental health and psychosocial functioning were significantly improved from the first hospital admission to follow-up. In patients < 18 years of age (n = 26), psychosocial functioning at follow-up correlated with physical disability according to the Childhood Health Assessment Questionnaire (r = -0.52, p < 0.01). Psychosocial outcome was unrelated to other measures of disease severity. Chronic family difficulties in the disease course predicted psychosocial functioning at follow-up in patients < 18 years old (R2 = 0.22). Chronic family difficulties at disease onset, together with gender and chronic family difficulties in the disease course, predicted psychosocial functioning at follow-up in patients > or = 18 years old (R2 = 0.61). Family stressors were unrelated to the physical outcome. CONCLUSION: The long-term psychosocial outcome was favorable in most of the patients. Psychosocial outcome was predicted by chronic family difficulties, but was not closely related to disease severity at follow-up.Sep-Oct English'TMDivision of Child and Adolescent Psychiatry, National Hospital, Oslo, Norway.sx4.Trauer, Tom Duckmanton, Robert A. Chiu, Edmond 1998B;A study of the quality of life of the severely mentally ill 0*International Journal of Social Psychiatry442Q 79-91i SumB 0020-7640& LSP-00059lHuman; Male; Female; Adulthood (18 yrs & older); Young Adulthood (18-29 yrs); Thirties (30-39 yrs); Middle Age (40-64 yrs) Australia Activities of Daily Living; Measurement; Mental Disorders; Quality of Life; Well Being objective & subjective quality of life indicators & level of functioning & global well-being & stability of Quality of Life Interview measures; 20-63 yr olds with serious mental illness; 6 mo studyF?Examined the relationship between objective and subjective quality of life (QOL) indicators and level of functioning, predictions of global well-being (GWB), and the stability of A. F. Lehman Quality of Life Interview (QOLI) measures. Ss included 55 clients (aged 20-63 yrs) with serious mental illness. Functional information was obtained from the client's treating doctor or case manager by means of the Life Skills Profile. Several clients were interviewed 2 and 3 times, 3 or 6 mo after the initial interview. Results reveal widespread adverse objective circumstances (unemployment, poverty and social isolation) despite which most clients rated their satisfaction levels about average (about equally satisfied and dissatisfied). As expected, subjective quality of life indicators were generally better predictors of GWB (itself based on subjective ratings) than were objective indicators. Moderate relationships were found between GWB and levels of personal functioning, and changes in levels of personal functioning, as rated by mental health workers. Retests showed that subjective quality of life was relatively stable over intervals of several months. The findings suggest that leisure and social relations would be suitable areas for interventions that might improve clients' quality of life. (PsycINFO Database Record (c) 2003 APA ) @:Peer Reviewed Journal; Empirical Study; Longitudinal Study'RLMonash U, Dept of Psychological Medicine, Melbourne, VIC, Australia [Trauer] r Tannock, Rosemary Tansella, M Tarrier, N. Tasman, AllanTawile, Viviane Taylor, E.Taylor, John R. Taylor, S.Teare, John F.xtTechnical Specifications Drafting Group, Information Strategy Committee, AHMAC National Mental Health Working Group,Technical Specifications Drafting Group, Information Strategy Committee, Australian Health Ministers Advisory Council National Mental Health Working Group Teesson, M.Teesson, MareeTelegdi, Nancy Curtin Tenaglia, A. Tennant, C.Tennant, Christopher<8Texas Department of Mental Health and Mental Retardation\XTexas Department of Mental Health and Mental Retardation Program Statistics and Planning Thabet, A.Thabet, Abdel AzizThabet, Abdel Aziz MousaHDThe International Classification of Mental and Behavioural Disorders The OM TeamlhThe Strategic Planning Group for Private Psychiatric Services Data Collection and Analysis Working Group Thomas, K. J.Thomas, RosemaryThomason, JaneThompson, Cathy LeannThompson, Margaret J. J.Thomsen, P. H.Thomsen, Per HoveThornicroft, G Thornicroft, G, Tansella, M.Thornicroft, G.Thornicroft, GrahamTickle-Degnen, LindaTillman, RebeccaTirapu Ustarroz, Javier Tischler, V.Tischler, VictoriaTkaczuk, K. H.Tobias, Aurelio Tobias, G. Tobias, GlenTodd, Richard D.Tompson, Martha C. Tonstad, S.Topinkova, Eva Torres, A.Torres-Gonzales, F Torri, V.Tosini, VeronicaTousignant, Michel Towlson, Kate Townsend, L.Trainor, GemmaTramontina, S. Trauer, T.$!Trauer, T. Coombs, T. & Eagar, K. Trauer, T., & Buckingham. BTrauer, Thomas Trauer, TomTreffers, Philip D. A.Trepanier, Johanne Tribe, K. Tribe, Kate Trimble, P.Tripathi, B. M. TriWest GroupTrompeter, R. S. Truman, J.Tsaltas, Margaret Owen Tsiantis, J. Turner, G. F.Turner, Samuel M.Turner, Winston M.Turrina, CesareTusaie-Mumford, K Tyrer, P.Uehara, Edwina S.Uesseler, SusanneUitenbroek, DaanUnger, MichaelUnit, College Research Updike, L.Uttaro, Thomas Uys, L. R.V'Ant Hoff, W. Vaccaro, JValdez, Burciaga`]Valenstein, M., Mitchinson, A., Ronis, D., Alexander, J., Duffy, S., Craig, T., and Barry, K.Valiakalayil, Agitha Valimaki, M.Valleni-Basile, Laura A. Vallis, T. M.van den Berg, Frankvan den Brink, Wimvan der Ende, Jan van Os, Jim Van Stone, W.van Teijlingen, E. R.van Widenfelt, Brigit M.VandeCreek, L.82VandeCreek, Leon Ellis Human Development Institute Vanderpyl, J.Vanderpyl, JaneVandvik, I. H.Vandvik, Inger H.Vandvik, Inger HeleneVannier, Michael W.Varghese, Raju K.Varner, Roy V. Varner, RV Vasudevan, S. Vauras, M. Vega, WilliamVeit, Clairice T. Veldhuyzen van Zanten, S. J. Velikova, G.Venkatapathy, R.Verdeli, HelenVerdeli, HelenaVerhulst, Frank C.Vermeer, CathrynVermeersch, DAVermeiren, Robert Vieweg, B. Vieweg, BruceViscoli, C. M.Vogel, Joanne Elise ^ tI$ Child & Adolescent Mental HealthChild & Youth Care ForumChild Abuse & NeglectChild Abuse Neglect<8Child care, health and development Child Care Health Dev Child development Child Dev($Child Psychiatry & Human Development,&Child Psychiatry and Human Development Child Psychiatry Quarterly($Child Psychology & Psychiatry Review,&Child Psychology and Psychiatry ReviewChildren's Health Care<9Clinical and experimental rheumatology Clin Exp Rheumatol,&Clinical Child Psychology & PsychiatryPMClinical Child Psychology & Psychiatry. Special Issue: ADOPTION AND FOSTERING,(Clinical Child Psychology and Psychiatry($Clinical Child Psychology Psychiatry$!Clinical Effectiveness in NursingClinical Gerontologist(%Clinical Psychology and Psychotherapy,)Clinical Psychology: Science and PracticeLGCommunity dentistry and oral epidemiology Community Dent Oral Epidemiol$Community Mental Health JournalComprehensive PsychiatryCrime & Delinquency Current Opinion in PsychiatryDepression & Anxiety Diabetes care Diabetes CareLIDissertation Abstracts International: Section B: The Sciences EngineeringDysphagia Dysphagia,'Education and Psychological Measurement(#Epidemiologia e Psichiatria Sociale,&European Child & Adolescent Psychiatry($European Child Adolescent PsychiatryHEEuropean child and adolescent psychiatry Eur Child Adolesc Psychiatry$European Journal of PsychiatryEuropean Psychiatry(#Evaluation & the Health Professions$Evaluation and Program Planning0,Evaluation and the Mental Health ProfessionsFamily Systems MedicineFamily Therapy General Hospital Psychiatry Gerontologist Harvard review of PsychiatryHead and neck Head NeckHealth Services Research@;Home health care services quarterly Home Health Care Serv Q$!Hospital and Community Psychiatry41Human Psychopharmacology: Clinical & ExperimentalHumanistic Psychologist85International journal of epidemiology Int J Epidemiol0-International Journal of Geriatric Psychiatry40International Journal of Intercultural Relations4.International Journal of Mental Health Nursing<8International Journal of Methods in Psychiatric Research,(International Journal of Nursing StudiesInternational journal of obesity and related metabolic disorders journal of the International Association for the Study of Obesity Int J Obes Relat Metab Disord<8International Journal of Psychiatry in Clinical Practice0*International Journal of Social Psychiatry0*International Journal of Stress Managementd^International journal of technology assessment in health care Int J Technol Assess Health Care$International Psychogeriatrics("International Review of PsychiatryTPInternational Review of Psychiatry. Special Issue: Suicide and attempted suicide,'Irish Journal of Psychological Medicine Irish Journal of Psychology$Issues in Mental Health Nursing0,Journal for the Scientific Study of Religion($Journal of Abnormal Child PsychologyJournal of Adolescence$Journal of Adolescent Research,&Journal of advanced nursing J Adv Nurs}*/(<b!8 VOFries, Brant E. Shugarman, Lisa R. Morris, John N. Simon, Samuel E. James, Marys 2002ZSA screening system for Michigan's home- and community-based long-term care programs Gerontologist424462-474w Aug 0016-9013  RUG-00004*Human Us Community Services;("Goodman, R. Meltzer, H. Bailey, V. 2003lfThe Strengths and Difficulties Questionnaire: A pilot study on the validity of the self-report version("International Review of Psychiatry15 1-2S173-177D Febe*#0954-0261 Electronic ISSN 1369-1627p SDQ-00045ozsHuman; Male; Female; Inpatient; Childhood (birth-12 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs) United Kingdom Mental Health; Questionnaires; Screening Tests; Self Report; Test Validity; Clinics; Test Forms Strengths and Difficulties Questionnaire; self report version; sample discrimination; community youth; mental health clinic patients; behavioral screeningo^WThe self-report version of the Strengths and Difficulties Questionnaire (SDQ) was administered to 2 samples of 11-16 yr olds: 83 young people in the community and 116 young people attending a mental health clinic. The questionnaire, a brief behavioral screening measure, discriminated satisfactorily between the 2 samples. For example, the clinic mean for the total difficulties score was 1.4 standard deviations above the community mean, with clinic cases being over 6 times more likely to have a score in the abnormal range. The correlations between self-report SDQ scores and teacher or parent rated SDQ scores compared favorably with the average cross informant correlations in previous studies of a range of measures. It is concluded that the self-report SDQ appears promising and warrants further evaluation. (PsycINFO Database Record (c) 2003 APA )-6/Peer Reviewed Journal; Empirical Study; Reprinte'Inst of Psychiatry, Dept of Child & Adolescent Psychiatry, London, United Kingdom [Goodman]; Office for National Statistics, Social Survey Div, London, United Kingdom [Meltzer]; Thelma Golding Ctr, Dept of Child & Adolescent Psychiatry, London, United Kingdom [Bailey] Email Address [mailto:r.goodman@iop.kcl.ac.uk] Contact Individual Goodman, R, Dept of Child & Adolecsent Psychiatry, Inst of Psychiatry, De Crespigny Park, London, United Kingdom, SE5 8AF, [mailto:r.goodman@iop.kcl.ac.uk]6-(Rauktis, Mary Elizabethc 2001xqThe impact of deinstitutionalization on the seriously and persistently mentally ill elderly: A one-year follow-up\& Journal of Mental Health & Aging73335-348z Fal2001-09436-005 MIS-00014*Ability Level; *Chronic Mental Illness; *Geriatric Patients; *Group Homes; *Psychiatric Hospital Discharge; Alcoholism; Emotional Stability; Employee Productivity; Mental Retardation; Self Care SkillsExamined changes in mortality, function, and psychiatric status for seriously and chronically ill, elderly mental health patients after discharge from psychiatric hospitals to community settings. Ss comprised 41 geriatric patients (aged 55-92 yrs) discharged into community placements who had been diagnosed with schizophrenia, schizoaffective disorder, bipolar disorder, dementia, delusional disorder, Axis I disorder, alcohol abuse, or mild mental retardation. Ss completed questionnaires 12-mo following community placement concerning attitude changes towards treatment settings and staff during periods of transfer from long-term institutions. Ss' intensive case managers observed personal self-care, social functioning, vocational-educational productivity, evidence of emotional stability, stress tolerance, and psychiatric symptomatology. Additional collected data included state hospital records of admission and discharge histories. Results show that psychiatric symptoms did not significantly change. While functioning for the majority of Ss improved, there remained evidence of impairment that required the support and structure of a community residence. Ss reported a strong desire to return home, even in cases where a home no longer existed. (PsycINFO Database Record (c) 2003 APA )English http://www.springerpub.com,&Read, J. L. Quinn, R. J. Hoefer, M. A. 1987LEMeasuring overall health: An evaluation of three important approachesh"Journal of Chronic Diseasesa40Suppl 1 S7-S26XQReardon, Maureen Lyons Cukrowicz, Kelly C. Reeves, Mark D. Joiner, Thomas E., Jr. 2002xrDuration and regularity of therapy attendance as predictors of treatment outcome in an adult outpatient populationPsychotherapy Research123s273-285y Sepl2002-15917-002 MIS-00006*b\*Prediction; *Psychotherapy; *Treatment Compliance; *Treatment Duration; *Treatment OutcomesThe authors extend previous research examining the dose-effect relationship in psychotherapy by using a measure of amount of treatment that included both number of sessions attended and treatment duration. Participants were 74 adult patients attending an outpatient community mental health clinic. A multiple regression analysis found no main effects for either measure of treatment length, but their interaction added a significant increase in the prediction of patient outcome. For patients attending 11 or fewer sessions, more months in treatment was associated with worse outcome. Duration of treatment was unrelated to improvement for those attending more sessions. The findings of this study underscore the importance of regular therapy attendance for those patients scheduled for fewer sessions and suggest that clinicians should reconsider any temptation to spread allotted sessions over the course of a longer period when afforded fewer sessions by managed care. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.oup.com#l9<? :vPJOstroff, Jamie S. Woolverton, Karolyn Smith Berry, Carolyn Lesko, Lynna M. 1996rlUse of the Mental Health Inventory with adolescents: A secondary analysis of the Rand Health Insurance StudyPsychological Assessment8o1l105-107c Mar  1040-3590  MHI-00017*>8Human; Adolescence (13-17 yrs); Adulthood (18 yrs & older); Young Adulthood (18-29 yrs) Distress; Factor Analysis; Inventories; Mental Health; Test Reliability; Well Being reliability & factor structure of Mental Health Inventory; measurement of mental health & psychological distress & well being; 14-19 yr oldsFew instruments exist for the assessment of adolescent mental health. In order to examine the appropriateness of the Mental Health Inventory (MHI) for use with adolescents, secondary analyses were conducted of the large subsample (n = 953) of adolescents who participated in the community-based Rand Health Insurance Study. The reliability and readability of the MHI were confirmed. Subscales reflecting Psychological Well-Being and Psychological Distress were derived. The MHI, with its adolescent norms, is recommended for the assessment of adolescent mental health, particularly in studies in which comparison to a nonpsychiatric, normative adolescent population is indicated. (PsycINFO Database Record (c) 2003 APA ) (journal abstract)LEDoi 10.1037//1040-3590.8.1.105 Peer Reviewed Journal; Empirical Study'ZSMemorial Sloan-Kettering Cancer Ctr, Psychiatry Service, New York, NY, US [Ostroff]0*Page, A. C. Hooke, G. R. Rutherford, E. M. 2001Measuring mental health outcomes in a private psychiatric clinic: Health of the Nation Outcome Scales and Medical Outcomes Short Form SF-36e4-Australian and New Zealand Journal Psychiatry\353p 377-81 Jun\11437813 HON-00004**Mental Disorders therapy; *Outcome and Process Assessment Health Care statistics and numerical data; *Patient Admission Adult ; Hospitals, Private; Hospitals, Psychiatric; Mental Disorders diagnosis; Middle Aged; Personality Assessment statistics and numerical data; Psychiatric Status Rating Scales statistics and numerical data; Psychometrics ; Reproducibility of Results; Western Australia diagnosis; therapy; statistics and numerical dataoF@OBJECTIVE: This study reports on data collected from the routine use of the Health of the Nation Outcome Scales (HoNOS) and the Medical Outcomes Short Form (SF-36). Three main aims were addressed in using these measures: (i) to establish patient disability levels; (ii) to determine the level of treatment effectiveness; and (iii) to explore the ability of these instruments to predict length of stay and mood change. METHOD: The clinician-rate HoNOS and the patient-rated SF-36 were included in the assessment battery, at admission and discharge, of consecutive inpatients (n = 754) at one private psychiatric facility over a 2-year period. RESULTS: The sample, on admission, was comparable in illness severity to levels reported at other Australian private psychiatric facilities. Treatment was shown to be effective, and the degree of changes in HoNOS ratings compared favourably with other private psychiatric facilities. Certain factors underlying the structure of the HoNOS and the SF-36 only weakly predicted length of stay and changes in depression and anxiety levels. CONCLUSION: The HoNOS and the SF-36 provided valid and reliable data on patient function, with the HoNOS being most sensitive to treatment change. However, neither instrument proved useful in predicting length of stay or levels of depression and anxiety at discharge.0004-8674 Englishf`Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=ANP&vol=35&page=377&goto=abstract'nhDepartment of Psychology, The University of Western Australia, Crawley, Australia. andrew@psy.uwa.edu.au6/Page, Andrew Hooke, Geoff Rutherford, Elizabeth 2002Reply to Dr Stafrace4.Australian & New Zealand Journal of Psychiatry364558-559 Augr2002-15910-025 HON-00010**Mental Health; *Psychiatric Clinics; *Test Reliability; *Test Validity; *Treatment Outcomes; Anxiety; Dietary Restraint; Emotional States; Long Term Care; Major Depression; Medical Records; Psychiatric Evaluation; Responses; Scaling (Testing); Treatment DurationgThis response by A. Page, G. Hooke and E. Rutherford to S. Stafrace (see record 2002-01595-023) remarks on S. Stafrace's comments on their article (see record 2001-07741-006) on the use of the Health of the Nation Outcome Scales (HoNOS). (PsycINFO Database Record (c) 2003 APA )English("http://www.blackwellpublishing.com("Page, Andrew C. Hooke, Geoffrey R. 2003Outcomes for Depressed and Anxious Inpatients Discharged Before or After Group Cognitive Behavior Therapy: A Naturalistic Comparison*#Journal of Nervous & Mental Disease 191j10653-659  Octl2003-09492-004 HON-00051*xq*Anxiety Disorders; *Cognitive Therapy; *Major Depression; *Psychiatric Hospital Discharge; *Psychiatric PatientsfTreatment outcomes for psychiatric inpatients with a primary diagnosis of a depressive or anxiety disorder who completed a cognitive behavior therapy (CBT) program while inpatients or when discharged were examined. Of 340 inpatients, 197 had been discharged to day patient status before the end of the CBT program, and 143 remained as inpatients. Data were collected before and after the CBT program and at 3-month follow-up. There was a significant improvement by posttreatment in self-esteem, locus of control, anxiety, depression, and stress, and these gains were maintained at 3-month follow-up. In addition, anxious, but not depressed, patients who completed CBT as day patients demonstrated greater improvements from after the CBT program to follow-up than those treated as inpatients. Possible reasons for the beneficial effects of completing the CBT as a day patient rather than an inpatient are discussed, and threats to the validity of this naturalistic study are considered. (PsycINFO Database Record (c) 2003 APA ) (journal abstract) English0http://www.lww.comXQPapageorgiou, Alexia King, Michael Janmohamed, Anis Davidson, Oliver Dawson, Johna 2002~wAdvance directives for patients compulsorily admitted to hospital with serious mental illness: Randomised control trialj$British Journal of Psychiatry 1816513-519 Dec2002-11234-012 HON-00032**Advance Directives; *Mental Disorders; *Mental Health Services; *Psychiatric Hospitalization; *Treatment Outcomes; Commitment (Psychiatric)ZTAn advance directive is a statement of a person's preferences for treatment, should he or she lose capacity to make treatment decisions in the future. This study evaluated whether use of advance directives by patients with mental illness leads to lower rates of compulsory readmission to hospital. In a randomised controlled trial in two psychiatric services in inner London, 156 inpatients about to be discharged from compulsory treatment under the Mental Health Act were recruited. The trial compared usual psychiatric care with usual care plus the completion of an advance directive. The primary outcome was the rate of compulsory readmission. Fifteen patients (19%) in the intervention group and 16 (21%) in the control group were readmitted compulsorily within 1 year of discharge. There was no difference in the numbers of compulsory readmissions, numbers of patients readmitted voluntarily, days spent in hospital or satisfaction with psychiatric services. Users' advance instruction directives had little observable impact on the outcome of care at 12 months. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.rcpsych.ac.ukj& !vf 82Ogles, B., Melendez, G., Davis, D., and Lunnen, K. 2000VOThe Ohio Youth Problems, Functioning, and Satisfaction Scales: Technical Manualt Ohio Universityn March 2000 USA-OH-00016*NGThe Ohio Youth Problems, Functioning, and Satisfaction Scales (Ohio Scales) are instruments developed to measure outcomes for youth ages 5 to 18 who receive mental health services. The User's Manual describes the conceptualization and initial development of the Ohio Scales along with the scoring and administration procedures.pD=http://www.mh.state.oh.us/initiatives/outcomes/instostech.pdf & Essentials of outcome assessment>7Ogles, Benjamin M. Lambert, Michael J. Fields, Scott A.n'Ohio U, Dept of Psychology, Athens, OH, US [Ogles]; Brigham Young U, Provo, UT, US [Lambert]; Ohio U, Clinical Psychology Program, Athens, OH, US [Fields]  New York, NY John Wiley & Sons, Inc 2002 x, 2140471419982 (paperback)("(From the preface) Makes practical recommendations regarding the implementation of outcome assessment in the typical clinical setting. This book is geared toward the practitioner who conducts outpatient psychotherapy. Many options for assessing outcome are available, and this book surveys the broad variety of possibilities and quickly narrows in on the strategies and techniques thought to be the most useful for using outcome data in everyday work to monitor client progress. Global measures of change are reviewed along with suggestions regarding what changes to evaluate, when to gather, who to collect from, and how to assess outcome. Remaining chapters focus on the various other potential uses of the data such as developing the treatment plan, tracking progress for the individual client, evaluating therapists, enhancing clinical supervision,and supplementing program evaluation. Overall, the book provides advice regarding the collection and use of outcome data in the outpatient practice of psychotherapy. (PsycINFO Database Record (c) 2003 APA ){Table of Contents Series preface Overview of outcome assessment Selecting an outcome measure Setting up data collection procedures Using outcome data to inform practice Other clinical applications of outcome data Illustrative clinical examples Conclusions References Annotated bibliography Index About the authors Target Audience Psychology: Professional & Research Authored BookHuman; Outpatient Measurement; Outpatient Treatment; Psychotherapy; Treatment Effectiveness Evaluation outcome assessment; outpatient psychotherapy; strategies; techniques(!Ohio Department of Mental Health,c 2000TMOutcomes User Group Minutes 2000. Ohio Mental Health Consumer Outcomes SystemSeptember 21, 2000 USA-OH-00008*tOutcomes Users Group Mission: To provide a venue for local systems to exchange ideas, share products developed locally, and to seek answers to questions in order to facilitate successful implementation of the ODMH Mental Health Consumer Outcomes System. When statewide implementation issues are identified and brought forth by local systems, the Users Group will discuss the issues, recommend solutions, and present these recommendations to the MACSIS POP Team for inclusion in the Outcomes section of the MACSIS Guidelines Document. Participation in the Outcomes Users Group is voluntary but strongly recommended. Representatives from provider agencies and boards in all phases of implementation are encouraged to participate.a<6http://www.mh.state.oh.us/initiatives/outcomes/ug.html (!Ohio Department of Mental Health,i 2001hbProcedural Manual: Frequently Asked Questions. The Ohio Mental Health Consumer Outcomes Initiative USA-OH-00017* The Procedural Manual FAQ is a condensed version of the Ohio Consumer Outcomes Procedural Manual. It provides brief answers to the most frequently asked questions about Ohio's Mental Health Consumer Outcomes System.D=http://www.mh.state.oh.us/initiatives/outcomes/instmanfaq.pdfT(!Ohio Department of Mental Health,e 2001TMOutcomes User Group Minutes 2001. Ohio Mental Health Consumer Outcomes Systema USA-OH-00009*sOutcomes Users Group Mission: To provide a venue for local systems to exchange ideas, share products developed locally, and to seek answers to questions in order to facilitate successful implementation of the ODMH Mental Health Consumer Outcomes System. When statewide implementation issues are identified and brought forth by local systems, the Users Group will discuss the issues, recommend solutions, and present these recommendations to the MACSIS POP Team for inclusion in the Outcomes section of the MACSIS Guidelines Document. Participation in the Outcomes Users Group is voluntary but strongly recommended. Representatives from provider agencies and boards in all phases of implementation are encouraged to participate.<6http://www.mh.state.oh.us/initiatives/outcomes/ug.html (!Ohio Department of Mental Health,n 2002Missing Data Report 1: Individuals with Outcomes Ratings in the Statewide Database Compared to Individuals with Eligible Claims. Ohio Mental Health Consumer Outcomes System,%October 1, 2002 to September 30, 20030 USA-OH-00022*0(!Ohio Department of Mental Health, 2002"Outcomes Record "Key" Fields USA-OH-00021*f1b$Mullick, M. S. I. Goodman, R.a 2001f_Questionnaire screening for mental health problems in Bangladeshi children: A preliminary studye4.Social Psychiatry and Psychiatric Epidemiology362d 94-99d Feb*#0933-7954 Electronic ISSN 1433-9285c SDQ-00037*leHuman; Male; Female; Childhood (birth-12 yrs); Preschool Age (2-5 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs); Adulthood (18 yrs & older) Bangladesh Child Psychiatry; Child Psychology; Developing Countries; Psychodiagnosis; Questionnaires Strengths and Difficulties Questionnaire; SDQ; psychiatric diagnosis; Bangladeshi children; developing worldd,%Examined the potential suitability of the Strengths and Difficulties Questionnaire (SDQ) for detecting child psychiatric problems. SDQs were administered to the parents and teachers of 261 Bangladeshi 4-16 yr olds: 99 drawn from a psychiatric clinic and 162 drawn from the community. Self-report SDQs were completed by 11-16 yr olds. Children from the clinic sample were assigned psychiatric diagnoses blind to their SDQ scores. SDQ scores distinguished well between community and clinic samples, and also between children with different psychiatric diagnoses in the clinic sample. A simple algorithm based on SDQ scores was used to predict whether children had hyperkinesis, conduct disorders, emotional disorders or any psychiatric disorder--rates of predicted disorder varied markedly between clinic and community samples. It is concluded that predictions based on multi-informant SDQs potentially provide a cheap and easy method for detecting children in the developing world with significant mental health problems. (PsycINFO Database Record (c) 2003 APA )F@DOI 10.1007/s001270050295 Peer Reviewed Journal; Empirical Study'ZSBangabandhu Sheikh Mujib Medical U, Dept of Psychiatry, Dhaka, Bangladesh [Mullick]tpjMunley, Patrick H. Anderson, Mary Z. Briggs, Denise DeVries, Michael R. Forshee, Wade J. Whisner, Emily A. 2002`YMethodological diversity of research published in selected psychological journals in 1999Psychological Reports912411-420o Oct2002-08347-006 MIS-00011jc*Content Analysis; *Methodology; *Psychology; *Scientific Communication; Professional OrganizationsnReviewed 454 papers appearing in 10 journals published by the American Psychological Association during 1999 to consider the frequency of publication of qualitative research. Journals reviewed included Health Psychology, Journal of Abnormal Psychology, Journal of Consulting and Clinical Psychology, Journal of Counseling Psychology, Journal of Educational Psychology, Journal of Experimental Psychology: General, Journal of Family Psychology, Professional Psychology: Research and Practice, Psychological Assessment, and Psychology and Aging. Papers were classified as quantitative, qualitative, or mixed qualitative/quantitative studies. Quantitative papers were also dichotomously classified as either primarily descriptive or experimental. Qualitative studies were classified by type of qualitative methods specified by the authors. Most papers (97.6%) were classified as quantitative. Only three journals reviewed published qualitative studies. (PsycINFO Database Record (c) 2003 APA )Englishs.(http://www.pr-pms.com/index.cfm?page=submeans of the SDQ self-report total difficulties scores were very similar to those in a previous study in Great Britain. The results provide additional confirmation of the usefulness of the SDQ as a screening instrument in epidemiological research and clinical practice. (PsycINFO Database Record (c) 2003 APA )F@DOI 10.1007/s007870170024 Peer Reviewed Journal; Empirical Study'}Email Address [mailto:merkos@sci.fi] Contact Individual Koskelainen, M, Visakoivunkuja 15 F 41, 02130, [mailto:merkos@sci.fi]) * global measures of impairment$ global psychological functioning$Glucocorticoids therapeutic useGoals Government("graders with psychiatric disorders Great Britain Greece Greek versionGriefGroup Homes standardsGroup ParticipationGroup PsychotherapyGroup Structure group therapy Guidelines Haloperidol($Hamilton Rating Scale for Depressionharm HealthHealth Attitudes Health Care Health Care AdministrationHealth Care CostsHealth Care Deliveryhealth care institutionsHealth Care Policy83Health Care Rationing statistics and numerical data Health Care Seeking BehaviorHealth Care ServicesHealth Care SurveysHealth Care Utilizationhealth characteristicsHealth EducationHealth ExpendituresHealth Insurancehealth inventoryHealth Knowledge(%Health Knowledge, Attitudes, Practice$ Health Maintenance Organizationshealth measures(#Health of the Nation Outcome Scales0+health outcome & satisfaction with servicesHealth Personnel Health Personnel Attitudeshealth plan costsHealth PlanningHealth Policy economicshealth problemshealth profileshealth program clientsHealth Program Evaluation$Health Resources classification Health Resources economics Health Resources utilizationhealth service usehealth service usersHealth Services Health Services Accessibility,&Health Services for the Aged economics,(Health Services for the Aged utilization$ Health Services Needs and DemandHealth Services Research health statusHealth Status IndicatorsHealth Surveys healthy 65 yr olds & older Healthy Lifestyles ProgrammeHeart$!heart vs lung vs liver transplant(%heavy vs occasional marihuana smokers help seekinghelp strategies Hemodialysis heritability@:hierarchical models as proposed by C. T. Veit & J. E. WarehighHigh School Students Hispanic Americans psychology40Hispanic Americans statistics and numerical data Hispanics HistoryHIV HIV Infections complications$HIV Infections physiopathology4/HIV-infected gay or bisexual 20-45 yr old malesHIV-positive femaleshome82Home Care Services organization and administration Home Care Services standardsHome Environment Homeless4/homeless 6-12 yr olds in mother-headed familiesHomeless Mentally Ill,)homeless mentally ill (mean age 37.5 yrs)Homeless PersonshomesHomes for the Aged Homes for the Aged economics Homes for the Aged manpower82Homes for the Aged organization and administration Homes for the Aged standards$Homes for the Aged utilization Homozygote Honesty Hong Kong0-HoNOS, partial hospitalization, mental health hormoneHospital Admission84hospital vs community care clients (mean age 40 yrs)HospitalizationHospitalization economics0-Hospitalization statistics and numerical dataHospitalized Patients HospitalsHospitals, DistrictHospitals, General Hospitals, General economicsHospitals, PediatricHospitals, Private Hospitals, Private economics40Hospitals, Private statistics and numerical dataHospitals, Psychiatric$ Hospitals, Psychiatric economics<6Hospitals, Psychiatric organization and administration$ Hospitals, Psychiatric standards("Hospitals, Psychiatric utilization4/Hospitals, Public statistics and numerical dataHospitals, State83Hospitals, Teaching organization and administration Hospitals, Teaching standards Hospitals, Veterans economics$Hospitals, Veterans utilization hospitasHousing standards How Are You?HumanHuman Biological Rhythms Human Females Human Immunodeficiency Virus   z *Drug Abuse*Drug Rehabilitation*Dual Diagnosis*Dysthymic Disorder*Early Intervention*Emergency Services*Emotional Adjustment*Emotional Responses*Employment Status *Epidemiology *Evaluation*Evaluation Criteria *Expectations *Experiential Psychotherapy*Experimental Subjects*Experimentation*Facility Discharge*Facility Environment*Factor Structure *Family*Family Intervention40*Family Practice organization and administration*Father Absence *Father Child *Foster Care*Functional Analysis*General Practitioners *Genetics83*Geriatric Assessment statistics and numerical data *Geriatric Nursing methods*Geriatric Patients*Geriatric Psychiatry$*Geriatric Psychiatry economics *Geriatrics *Goals*Government Policy Making *Group Homes*Group Psychotherapy *Guardianship*Head Injuries *Health *Health Care*Health Care Costs*Health Care Delivery*Health Care Policy*Health Care Services($*Health of the Nation Outcome Scales *Health Personnel Attitudes *Health Personnel education*Health Policy*Health Service*Health Service Needs,'*Health Services for the Aged standards@;*Health Services for the Aged statistics and numerical data$!*Health Services Needs and Demand*Health Status Indicators *Hospital4.*Hospitalization statistics and numerical data41*Hospitals, General statistics and numerical data41*Hospitals, Private statistics and numerical data85*Hospitals, Psychiatric statistics and numerical data*Human Females *Human Immunodeficiency Virus$ *Information Systems utilization*Interdisciplinary *Interviews*Involuntary Treatment *Juvenile*Laws*Learning Disabilities("*Learning Disorders classification *Learning Disorders therapy0-*Length of Stay statistics and numerical data *Lesbianism*Long Term Care*Major Depression*Male Homosexuality*maltreatment experiences*Management Personnel *Mania *Measurement *Mental*Mental Disorders$ *Mental Disorders classification *Mental Disorders diagnosis$*Mental Disorders epidemiology$ *Mental Disorders rehabilitation*Mental Disorders therapy*Mental Health*Mental Health Personnel*Mental Health Program$!*Mental Health Program Evaluation*Mental Health Programs*Mental Health Services<7*Mental Health Services organization and administration$!*Mental Health Services standards4/*Mental Health Services supply and distribution(#*Mental Health Services utilization*mental health treatment *Mental Illness (Attitudes*Mental Retardation *Methodology *Models*Mood Disorders therapy *Morale *Motivation*Motor Traffic Accidents<7*National Health Programs statistics and numerical data*need assessment *Needs*Needs Assessment$*Neuropsychological Assessment *Neurotic Disorders therapy*Nursing Homes *Occupational*Occupational Therapists*Occupational Therapy$*Oppositional Defiant DisorderLI*Outcome and Process Assessment Health Care statistics and numerical data$*Outcome Assessment Health Care,'*Outcome Assessment Health Care methods,)*Outcome Assessment Health Care standardsW 8N z 2003ZTProvider Performance Management Report (PPMR) for Substance Abuse Agencies for 2003 USA-OK-00003*0 2003Criteria for Determining Levels of Severity for Clients Served by Age Groups. For Those Clients Being Rated Using The Colorado Client Assessment Recorde USA-CO-00011*S  Trauer T and Eagar K () .n 2004<6New Zealand Mental Health Consumers and their Outcomes 60Health Research Council of New Zealand: Auckland NZ-00004*e .'2001 Colarado Best Practice Work Group,D 2002>8Atypical antipsychotic medications report and guidelines USA-CO-00002*t x qIn 2000, Colorados Health Care Policy and Finance (HCPF) and Mental Health Services (MHS) jointly developed best practice guidelines for atypical antipsychotic medications. Since then, new scientific findings have been reported, new products and indications have been approved, and medication costs have continued to rise in all sectors of the health care system. Scientific studies and evolving clinical practices continue to demonstrate the outstanding efficacy and tolerability of atypical antipsychotic medications in the treatment of many serious mental disorders, leading to expanded use. The Colorado Best Practice Work Group on Atypical Antipsychotic Medications was re-convened in February 2001 to update Colorados guidelines regarding the appropriate and cost-effective use of these medications. The work group included HCPF and MHS representatives, medical directors of mental health centers and Mental Health Assessment and Service Agencies (MHASAs), Medicaid health maintenance organization representatives, pharmacists, consumers, and advocates. 1 The goals included updating Colorados previous (2000) guidelines and developing recommendations for the Medicaid Pharmacy Program regarding clozapine. In addition, the 2001 work group attempted to address the use of atypical antipsychotic medications in a growing range of conditions beyond the major psychotic mental disorders. The term best practice, as used by the work group, refers to a process or treatment guideline that promotes improvements in care. The groups charge was to focus on one specific aspect of care, the use of atypical antipsychotic medications. The group made use of scientific studies, existing guidelines and algorithms, local experts, prevailing community practices, and input from consumers, advocates, and stakeholders. The 2001 guidelines outline the conditions that are appropriately treated with atypical antipsychotic medications, dose ranges, and strategies to maximize cost effectiveness. The guidelines are general recommendations and are not intended to be final program directives, enduser educational materials, or a substitute for individualized clinical judgement. Implementation requires interpretation and adaptation based on the setting in which they are being used and the development of specific protocols and educational processes involving providers, consumers, and family members within that system.pv,<3ko+E$p?K<LISQhC8%ij]qxw_Xq]g#0DF=`Z ;Re'0$a{3*)>z=NC|@LcYO[y(Jp~\o [P>se:Z/ud-c"{@j z9^;fh.HgB a 6A'QDEOY25_f1V6T4tP vdl!1N-#Bi)Twl\ ~GWWWWWWWWWWWWWWW *aMina 8 Advocacy AffectTMCurran, S. Mill, J. Sham, P. Rijsdijk, F. Marusic, K. Taylor, E. Asherson, P.d 2001QTL association analysis of the DRD4 exon 3 VNTR polymorphism in a population sample of children screened with a parent rating scale for ADHD symptoms*$American journal of medical genetics 105v4t 387-93Am J Med Genet 0148-7299a SDQ-00004*Attention Deficit Disorder with Hyperactivity genetics; Exons ; Minisatellite Repeats genetics; Quantitative Trait, Heritable; Receptors, Dopamine D2 genetics Adolescent ; Alleles ; Attention Deficit Disorder with Hyperactivity pathology; Child ; Child, Preschool; DNA genetics; Gene Frequency; Genotype ; Parents ; Polymorphism Genetics; Questionnaires ; Teaching Human; Support, Non U.S. Gov't$Current developments in molecular genetics have led to a rapid increase in research aimed at the identification of genetic variation that influences complex human phenotypes. One phenotype that has aroused a great deal of interest is the behavioral trait hyperactivity and the related clinical disorder attention-deficit hyperactivity disorder (ADHD). The driving force behind the molecular genetic research in this area is the overwhelming evidence from quantitative genetic studies that show high heritablility (h(2) = 0.7-0.9) for the behaviors characterizing the diagnosis of ADHD, whether the disorder is viewed as a categorical entity or a continuous trait. To date, molecular studies have aimed at identifying susceptibility genes for ADHD, defined using operational diagnostic criteria, and have focused on variation within genes that regulate dopamine neurotransmission. Several studies report ADHD to be associated with the 7-repeat allele of a 48 bp repeat polymorphism (DRD4-7) in exon 3 of the dopamine D4 receptor gene (DRD4). In this study, we take a dimensional perspective of ADHD and examine the relationship of this DRD4 polymorphism in a sample of children selected from the general population on the basis of high and low scores on the five ADHD items of the Strengths and Difficulties Questionnaire (SDQ) as rated by their parents. We found a significant relationship between DRD4-7 and high-scoring individuals [chi-square = 8.63; P = 0.003; OR = 2.09 (95% CI 1.24 < OR < 3.54), F-statistic = 7.245; P = 0.008]. Copyright 2001 Wiley-Liss, Inc. May 8 English 'Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, London, United Kingdom. s.curran@iop.kcl.ac.uk ,Mk Lalloo, R. Lambert, G.Lambert, Michael J. Lambert, MJLamington, Linda Lampe, J. Lancon, C. Landis, J. R. Langer, CoreyLangmore, S. E.Laplante, LouisLapsley, H. M. Larsen, F.Larsen, F. Warborg Larson, R. A.Larzelere, Robert E.Lathlean, Judith Latimer, Eric Lauzon, S.Lavidor, Michal Lawton, K.Lawton, PowellLeaf, Philip J.Leavey, GerardLecic-Tosevski, DusikaLeckman, James F.Lecomte, Jocelin Lecomte, T.Lecomte, TaniaLedermann, S. E. Lee, C. Lee, L.Lee, Martha B.Lee, Sloane NguyenLees-Haley, Paul R. Leese, Morven Leff, H. S.Lehoux, Catherine Lehtila, A. Leijala, H.Leitner, L. M. Lelliott, P.Lelliott, Paul Lenane, MargeLenane, Marge C. Lerman, Paul Lerner, T. Lesage, A.Lesage, Alain D.Lesko, Lynna M.Lester, PatriciaLeung, Antony Chi-tatLevine, WarrenLevitt, Jill T.Levy-Shiff, Rachel Lewis, M. Lewis, Martyn Lewis, Sheila Liadsky, R. Liang, J.Liberman, R. P.Libow, Leslie S. Lichtman, J. Lidal, EliLikourezos, Antonios Lim, R. W.Lin, ElizabethLindsay, GeoffLindsey, CarolineLink, B. et al.Lish, Jennifer D. Little, J.Littlefield, Christine Liu, Chi-punLivingston, G.Livingston, JenniLivne Snir, Sharon Ljunggren, G.Llewelyn, Susan Lloyd, C. Lloyd, Chris Loader, P.Loewenthal, KateLogue, Mary Beth Loh, J. Lohr, J. B. Lombardo, Nancy B. Emerson Long, AF Lontz, Werner Lora, A. Lothstein, L Lowin, A.Lubben, James E. Lucas, B.Lucas, Christopher P. Lucchi, Fabio Luk, ErnestLuk, Ernest S. L. Lunney, P. Lusk, E.Lyle, Janet L.Lynn, Larry L., II Maas, A. Maas, M.Maas, MerideanMacdonald, A. J.MacDonald, A. S.Macdonald, AlastairMacdonald, Alastair J. D. Macias, M. M. Maclean, W.Macpherson, Rob Madden, S. J.Madsen, Richard W.Magaziner, Jay Main, A. Mair, A.Malhotra, Savita Malla, A. K.Malla, Ashok K. Malmberg, M. Malo, ClaireMalstrom, MichaelManassis, Katharina Manchanda, R.Manderscheid, Ronald W.Manderson, JulieManey, A., and Ramos, J. Manne, S. Manning, S.Manning, S. & Paskind, B. Manning, W.Manning, Willard G.Manovich, RachelMantell, Joanne E. Marcenes, W. March, J. S.March, John S.Marchessault, Keith Maresca, G.TQMargison, F, R.; Barkham, M; Evans, C; McGrath, G; Clark, J; Audin, K; Connell, JMargison, F. R.Margison, Frank Marks, I Marmot, M.Marmot, Michael G.Marriage, Keith Marsden, L. Marsh, H. W. Marston, G.Martin, Andres Martin, C. M. Martin, D. M. Martin, J.Martin, NeilsonMartinez Sarasa, MariaMartinez Taboas, A.Martinez, S. M. Martins, S.Maruish, M. E.Maruish, Mark E. Marusic, K. Masi, G.Masi, GabrieleMastrianni, X.$Mathai J, Anderson P, Bourne A$Mathai J, Anderson P, Bourne A. Mathai, J. Mathai, John Mathew, G.Mathew, George,'Matsumoto, K., Jones, E., and Brown, J. Matthews, H.Matthews, Robert Maude, DanaMaughan, Barbara Maxwell, A.Maxwell, Colleen J.Mayer-Oakes, Allison Mayeya, JohnMayeya, Petronella Mayou, R. Mazaira, J.Maziade, Michel Mazzarda, A.Mbatia, Joseph McArthur, W.McArthur, William McAvay, GailMcBee, George W. McCabe, C. J. McCabe, RMcCall, W. VaughnMcClelland, R.McCollum, Jill D'ArcyMcConaughy, S. H.McConnell, WilliamMcConville, B. J.McCreadie, R. G. McCune, Noel McDougall, S. McDowell, I. McEvoy, PhilMcFarland, Bentson H.McGauran, Sheila McGonagle, I.McGonagle, IanMcGorry, P. D. :7X($Positive and Negative Syndrome Scalepositive symptoms$post-traumatic stress reactionsD>post-treatment adolescent cancer survivors (mean age 16.3 yrs) postcollegeposthospital adjustmentPostoperative PeriodPosttraumatic Stress Posttraumatic Stress Disorder Poverty Practice practices Practitioners Pre Eclampsia complicationspreadolescent children precision precollege Predictionprediction of hospitalD@predictive validity of Strengths & Difficulties Questionnaire vsPredictive Value of Tests predictors Preferences Pregnancy(%Pregnancy Trimester, Third psychologyPremature Birth$premature treatment terminationpremorbid adjustment Premorbidityprepubertal children & Preschool Preschool AgePreschool Age (2-5Preschool Age (2-5 yrs)preschool age childrenpreschool children preschoolerspreterm delivery prevalenceHBprevalence & phenomenology & comorbidity & functional impairment &(%prevalence of childhood maladjustment<9prevalence of clinical & subclinical obsessive compulsive(#prevalence of DSM--III--R disorders83prevalence of psychiatric disorders & or impairment Primary primary carePrimary HealthPrimary Health Care$ Primary Mental Health PreventionPrimary School Students($principles of work stress management Prisoners PrisonsPrivate Sector standardsProblem Solving Problems Procedural Processesprocessing speed Professionalprofessional activitiesProfessional ConsultationProfessional Feesprofessional help Professional OrganizationsProfessional ReferralProfiles (Measurement) Prognosis programProgram Developmentprogram evaluationprogram level outcomes Programs Prolactin Promotion propertiesProsocial Behavior Prospective Payment System($Prospective Payment System economicsProspective Studies$!Prostatic Neoplasms complications$ Prostatic Neoplasms drug therapyprotective factorsProtective Services psychiatric<9psychiatric & psychosocial disorders in clinical practicepsychiatric adjustment psychiatric case management$ Psychiatric Department, HospitalD@Psychiatric Department, Hospital organization and administration0*Psychiatric Department, Hospital standardspsychiatric diagnosis85psychiatric disability rehabilitation support servicepsychiatric disorderpsychiatric disordersD?psychiatric disorders & health care utilization in primary care,(psychiatric disorders & mother's anxietypsychiatric distresspsychiatric disturbancePsychiatric Evaluationpsychiatric facilityPsychiatric Hospital$Psychiatric Hospital Admission$Psychiatric Hospital Discharge$psychiatric hospital inpatients Psychiatric Hospital Programs$ Psychiatric Hospital Readmission Psychiatric HospitalizationPsychiatric Hospitalspsychiatric inpatientsPsychiatric Nursing Psychiatric Nursing methodspsychiatric outcomespsychiatric outpatientsPsychiatric Patientspsychiatric practice psychiatric screening testspsychiatric services Psychiatric Social Workers$ Psychiatric Status Rating Scales0*Psychiatric Status Rating Scales standardsD>Psychiatric Status Rating Scales statistics and numerical dataPsychiatric Symptomspsychiatric unitPsychiatric Units Psychiatrists PsychiatryPsychiatry Clients0*Psychiatry organization and administrationPsychiatry trendsPsycho-Educational ModelPsychodiagnosis Psychodiagnostic Interview psychodynamic psychotherapyPsychodynamicsPsychoeducation Psychogenesis Psychological$!psychological adaptation & copingpsychological adjustmentPsychological Assessmentpsychological development  R83Journal of Women's Health and Gender-Based MedicineLIJournals of Gerontology: Series A: Biological Sciences & Medical Sciences LancetMcLean Hospital JournalMedical care Med CareMental Health Practice$Mental Health Services ResearchMilitary MedicineD>Multiple sclerosis Houndmills, Basingstoke, England Mult Scler$New England Journal of Medicine,&New South Wales Public Health Bulletin4.Nordic journal of psychiatry Nord J PsychiatryNorsk Epidemiologi0+Nursing and health sciences Nurs Health Sci83Nursing clinics of North America Nurs Clin North AmNursing Standard4.Outcomes Management for Nursing Practice 45-48,'Outcomes Management in Nursing Practice Pain Pain$ Panminerva medica Panminerva Med("Pediatric neurology Pediatr NeurolPediatrics Pediatrics($Personality & Individual Differences("Personality Individual Differences,(Perspectives in Psychological Researches$!Pharmacogenetics PharmacogeneticsPsychiatria FennicaPsychiatric AnnalsPsychiatric Bulletin($Psychiatric Clinics of North America(#Psychiatric hospital Psychiatr HospPsychiatric Quarterly<6Psychiatric rehabilitation journal Psychiatr Rehabil JPsychiatric Services84Psychiatric services Washington, D.C. Psychiatr ServPsychiatry Research Psycho-Lingua,)Psychologia: Israel Journal of PsychologyPsychological AssessmentPsychological BulletinPsychological MedicinePsychological ReportsPsychological Studies<7Psychology & Psychotherapy: Theory, Research & Practice@=Psychology: The Journal of the Hellenic Psychological SocietyPsychopathology@:Psychosomatics: Journal of Consultation Liaison Psychiatry Psychotherapy$Psychotherapy & Psychosomatics$ Psychotherapy and PsychosomaticsPsychotherapy ResearchQuality in Health CarexrQuality of life research an international journal of quality of life aspects of treatment, care and rehabilitationtqQuality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care & RehabilitationRehabilitation Psychology0*Residential Treatment for Children & Youth Review of General PsychologyPKRevista brasileira de psiquiatria Sao Paulo, Brazil 1999 Rev Bras Psiquiatr,&Revista de Psiquiatria Infanto-Juvenil0+Revue Roumaine de Neurologie et PsychiatrieHDScandinavian journal of primary health care Scand J Prim Health CareSchizophrenia BulletinSchizophrenia Research Science,)Singapore medical journal Singapore Med J0,Social Psychiatry & Psychiatric Epidemiology4.Social Psychiatry and Psychiatric Epidemiology0*Social Psychiatry Psychiatric EpidemiologySocial Science & Medicine Social Work Social Work in Health Care(#South African Journal of PsychologySubstance AbuseSubstance Use & Misuse$Telemedicine Journal & e-Health$!Telemedicine Journal and e-HealthThe Approach, (CPAA)41The Approach. Care Programme Approach Association(#The New England Journal of Medicine\YTherapeutic Communities: International Journal for Therapeutic & Supportive Organizations(#Western Journal of Nursing ResearchWomen & HealthJatric PsychiatryxrShapiro, David A. Barkham, Michael Stiles, William B. Hardy, Gillian E. Rees, Anne Reynolds, Shirley Startup, Mike 2003`YTime is of the essence: A selective review of the fall and rise of brief therapy researchi>7Psychology & Psychotherapy: Theory, Research & Practicef763t211-235f Sepy2004-10038-001 HON-00066*^X*Brief Psychotherapy; *Experimentation; *Psychotherapeutic Outcomes; *Treatment DurationTMFor compelling reasons of equity and the advance of public health, brief psychotherapy has become the dominant format in both practice and research. One consequence of this is the apparent decline of a distinct stream of brief therapy research. However, much of the agenda formerly identified with that research stream is of increasing importance to the field. Time is indeed of the essence in current psychotherapy research. For example, factors conducive to the time efficiency of brief psychodynamic therapy have been described recently. The important question 'How much therapy is enough?' has been addressed by studies inspired by the dose-response analysis of Howard and colleagues. The value of ultra-brief interventions has been examined. These issues are considered in a selective review, drawing in particular on the work of the Sheffield/Leeds psychotherapy of depression research group. This research treats the number of treatment sessions as an independent variable, thereby providing a causal analysis of the dose-response relationship over a range from two to 16 sessions, illuminated by a comparative analysis of change processes in treatments of different durations. Its results enable some specification of the extent and nature of incremental benefit derived from additional... (PsycINFO Database Record (c) 2004 APA ) (journal abstract)Englishhttp://www.bps.org.uk-J@tW ZTMcMunn, Anne M. Nazroo, James Y. Marmot, Michael G. Boreham, Richard Goodman, Robert 2001~wChildren's emotional and behavioural well-being and the family environment: Findings from the Health Survey for England Social Science & Medicinec534h423-440c Augi 0277-9536u SDQ-00038*zsHuman; Male; Female; Childhood (birth-12 yrs); Preschool Age (2-5 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs) England Family Structure; Mental Health; Parental Characteristics; Parental Occupation; Socioeconomic Status; Occupational Status child psychological health; family structure; socio-economic status; parental working status; parent psychological statuse82Recent trends towards diversity in family structure have posed important challenges for traditional social theories on the family. This critical debate has not, however, had much influence on policy discussions of the impact of diverse family structures on children's psychological health, where two-parent families are presumed ideal. The annual Health Survey for England focused on the health of children and young people. The Strengths and Difficulties Questionnaire, used to assess children's psychological health, was administered to the parents of 5,705 children aged 4-15 yrs using a self-completion booklet. The effect of family structure, socio-economic indicators, parental working status and parental psychological status on children's psychological health was explored using multi-variate logistic regression models. Findings indicated that the high prevalence of psychological morbidity among children of lone-mothers was a consequence of socio-economic effects, disappearing when benefits receipt, housing tenure and maternal education were taken into account. Socio-economic factors did not, however, explain the higher proportion of psychological morbidity among children with stepparents, or the strong relationship between parents' and children's psychological morbidity. (PsycINFO Database Record (c) 2003 APA )NHDoi 10.1016/s0277-9536(00)00346-4 Peer Reviewed Journal; Empirical Study'Royal Free & University Coll London Medical School, Dept of Epidemiology & Public Health, London, United Kingdom [McMunn] Email Address [mailto:anne@public-health.ucl.ac.uk]vpMears, Alex White, Richard O'Herlihy, Anne Worrall, Adrian Banerjee, Sube Jaffa, Tony Hill, Peter Lelliott, Paul 2003jdCharacteristics of the Detained and Informal Child and Adolescent Psychiatric In-Patient Populations& Child & Adolescent Mental Health8o3t131-134s Sepo2003-99741-006 HCA-00007**Adolescent Psychiatry; *Child Psychiatry; *Laws; *Mental Health Services; *Psychiatric Hospitalization; Client CharacteristicstThis project surveyed the use of the Children Act and the Mental Health Act in in-patient child and adolescent mental health services in England and Wales. Data were collected as a day census from child and adolescent psychiatric inpatient units, questionnaire forms completed by consultant psychiatrists or key-workers. Returns were received from 71 of the 80 units. One hundred and twenty-seven of the 663 patients had been admitted formally, the great majority under a section of the Mental Health Act. Compared with those admitted informally, those admitted formally were older (mean age 15 yrs versus mean age 17 yrs, respectively), contained a higher proportion of males and had 'adult-type diagnoses', mainly schizophrenia, mood disorders and personality disorder. The clinical and psychosocial characteristics of formal and informal patients were consistent with these differences. This study provides a timely and useful snapshot of the use of the Acts in this population. (PsycINFO Database Record (c) 2003 APA )English ("http://www.blackwellpublishing.com60Meehan, Tom Robertson, Samantha Vermeer, Cathryn 2001F@The impact of relocation on elderly patients with mental illness@9Australian & New Zealand Journal of Mental Health Nursingl104n236-242; Dec  1324-3780m LSP-00018*81Human; Male; Female; Adulthood (18 yrs & older); Aged (65 yrs & older); Very Old (85 yrs & older) Geriatric Patients; Mental Disorders; Nursing Homes; Ability Level; Aggressive Behavior; Agitation; Elder Care residence relocation; mentally ill; long term mental illness; functioning; aggression; agitationExamined the effects of relocation on elderly patients with mental illness. 20 elderly patients (aged 65-86 yrs) with long-term mental illness were relocated from a psychiatric hospital to an extended care unit in their district of origin. Ss were assessed on measures of functioning, aggression, and agitation prior to and 6 wks and 6 mo following relocation. Results show that Ss experienced no significant long-term negative effects due to relocation. Adverse affects were likely mitigated by the preparation and planning undertaken prior to relocation, and the support provided to staff and patients in the period following relocation. (PsycINFO Database Record (c) 2003 APA )b[DOI 10.1046/j.1440-0979.2001.00216.x Peer Reviewed Journal; Empirical Study; Followup Study'rkQueensland U of Technology, Service Evaluation & Research Unit, Wacol, QLD, Australia [Meehan, Robertson]; Ipswich General Hosp, Integrated Mental Health Unit, Ipswich, QLD, Australia [Vermeer] Contact Individual Meehan, Tom, Queensland U Technology, Service Evaluation & Research Unit, Wolston Park Hosp, Wacol, QLD, Australia, 4076, [mailto:t.meehan@qut.edu.au] Mehra, Gita Mishra, P. C.a 1991b[Mental health as a moderator variable of intrinsic job satisfaction and occupational stressPsychological Studiest363a198-202 Nov[ 0033-2968\ MHI-00071\Human; Adulthood (18 yrs & older) Job Satisfaction; Mental Health; Occupational Stress; Blue Collar Workers mental health; job satisfaction & occupational stress; blue collar workers; IndiatnInvestigated the relationship between perceived occupational stress (OS) and job satisfaction (JS), as well as the moderating effect of employees' mental health on the relationship between the 2 factors. 250 industrial workers from India completed a Mental Health Inventory (Jagdish and A. K. Srivastava, 1983), the Occupational Stress Index (Srivastava and A. P. Singh, 1981), and the S. D. Employees Inventory (a measure of JS [D. M. Pestonjee, 1973]). Moderated regression analysis suggested that mental health has a moderating effect on the relationship of intrinsic JS and OS. (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study'U Lucknow, India [Mehra]Menaghan, E., et al. 2003Part III. Gender, Ethnic and Racial Disparities in Mental Health and Mental Disorder. Section B. Stressful Family Contexts Linked to Unmarried Parenting, Working Mothers and Marital Instability in a Globalizing SocietyrkSocioeconomic Conditions, Stress and Mental Disorders: Toward a New Synthesis of Research and Public PolicyUSA-MHS-00030*The papers in this collection examine recent research on relationships among socio-economic conditions, mental health, and mental disorder. They focus either on the social stress process as a mechanism in these relationships-- exposure to stress and the use of personal and social resources in coping with stress-- or on the influence of the larger context(s) on the way this mechanism works-- in particular, the socio-economic conditions of peoples lives and the settings in which they interact with others. Obstacles to translating basic knowledge into efficacious preventive strategies, and efficacious strategies into effective population and service interventions, are explored throughout Young,AS Grusky,O Jordan,D Belin,TRp 2000hbRoutine outcome monitoring in a public mental health system: the impact of patients who leave carePsychiatric Services 200051 85-91M OUT-MH-00045*^Objective: An interest exists in using patient outcome data to evaluate the performance of publicly financed mental health organizations. Because patients leave these organizations at a high rate, the impact of patient attrition on routinely collected outcome data was examined. MethoProcter, E. Loader, P. 2003f_A 6-year follow-up study of chronic constipation and soiling in a specialist paediatric service("Child care, health and development292i 103-9lChild Care Health Devo 0305-1862; SDQ-00016*Constipation therapy; Fecal Incontinence therapy Adolescent ; Age Distribution; Child ; Child, Preschool; Chronic Disease; Constipation complications; Constipation psychology; Fecal Incontinence etiology; Fecal Incontinence psychology; Follow Up Studies; Infant ; Odds Ratio; Outpatient Clinics, Hospital; Prognosis ; Questionnaires ; Referral and Consultation; Retrospective Studies; Sex Distribution; Treatment Outcome Female; Human; MaleLEOBJECTIVE: Constipation and soiling is a relatively common condition in childhood and its course is often chronic. This study investigated long-term outcome of children with chronic constipation and soiling by following up a cohort of children 6 years after their presentation to a specialist paediatric gastroenterology clinic with chronic constipation and soiling. DESIGN: Retrospective postal survey. SETTING/SAMPLE: All children referred in 1991 to a specialist paediatric gastroenterology clinic accepting both secondary and tertiary referrals. MEASURES: A semi-structured postal questionnaire was sent to all families, and the Strengths and Difficulties Questionnaire (SDQ) was sent to a random sample. RESULTS: The response rate (of those who could be traced) was 89%. Of these, over a third (36%) still had a problem with constipation and soiling and 17% were using regular laxatives. Three people still having problems with constipation and soiling in the sample were aged over 18 years. No significant difference was found with regard to age, sex or age at referral between the group that improved and the group that did not. Both groups felt they had suffered a high degree of distress because of the problem, with parents highlighting their powerlessness to help their child and the child identifying the embarrassment caused by the problem. CONCLUSIONS: A significant number of children presenting to a specialist paediatric clinic continue to have problems for several years. Further research is needed to identify these cases and to identify which factors promote resolution of the problem.  Mar English;f`Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=CCH&vol=29&page=103&goto=abstract'd^Canada House, Barnsole Road, Gillingham, Kent, ME7 4JL, UK. EProcter@invicta-tr.sthames.nhs.uk   Vogel, JudyVogelzang, N. J.von Knorring, A. L.Von Morgen, D.Voruganti, L. P.Voruganti, L. PanthVoruganti, L. Panth N. Voss, S. Vostanis, P.Vostanis, PanosVreugdenhil, Coby Waarst, S. Wackwitz, J.Wadden, Norma Kennedy Wade, DarrylWaldron, BrianWalker, Lynn S.Walker, Steven Walker, W. O.Wallace, C. J.Wallace, Charles L.Wallander, Jan L.Waller, Jennifer L.Walmsley, S. H. Walter, GWalters, E. E.Walters, Ellen E. Wang, HaoWanstrath, James Ward, Martin Ware, J. E.Ware, J. E. Jr Ware, J.E.$Ware, J.E., & Sherbourne, C.D. Ware, John E. Ware, NormaWarner, JulietWarner, Virginia Watson, D. Watson, M. S. Way, Bruce B.Weinstein, Milton C. Weir, D.Weiss, Arnold S.Weiss, Herbert P.Weiss, MargaretWeissman, Myrna M.0+Welfare, Australian Institute of Health and Welham, Joy Weller, Aron Wells, K.Wells, Kenneth B. West, S. A. Westhoff, R. Wever, Chris Whipple, JLWhisner, Emily A. White, AdeleWhite, Mark B.White, Richard White, Sarah Whiteford, H Whitton, A.Wichstrom, LarsWickramaratne, PriyaWickramaratne, Priya J.Widawski, Mel H. Wiersma, D Wiese, M. Wiggs, L. Wilber, C Wilcock, A. Wilcox, M. Wilde, J.Wilkins, Linda P. Wilkinson, G.Wilkinson, GregWilkinson, Ross B.Wilkinson, Suzanne Williams, C.Williams, H. C.Williams, Marlene Williams, SEWilliamson, Douglas E.Wilson, Glenn D. Windle, B. Window, S.Winefield, Helen R. Wing, J. Wing, J. K. Wing, J., and Lelliott, P.,(Wing, J.K., Lelliott, P., & Beevor, A.S.Wingo, Phyllis A. Winkel, G.Wipke Tevis, D. D.Wipke-Tevis, Deidre D.Wise, Edward A.1Wiseman, Hadas Woerner, W.Wolfe, Maren M. Wolke, D. Wong, F. Wong, Lisa Wood, Alison Wood, E. I. Woodham, S. Woods, S.Woodside, D. Blake Wooff, D. Wooff, DavidWoolverton, Karolyn SmithWorld Health OrganizationWorling, DavidWorrall, Adrian Wotring, JWouters, Luuk F. J. M. Wright, JG` Wright, P. Wright, S. Wright, Steve Wu, H. Y. Wu, S. C. Wu, Yee MingWudarsky, MarianneWynne, Lyman C.$ Wyrwich, K., and Wolinsky, F. I. Wyshak, GraceYadava, Amitra Yadava, AshaYager, Thomas J. Yam, IditYamauchi, KeitaYamini-Diouf, Yasmeen Yard, P. Yates, P. Yates, PeterYellowlees, P. Yonah, Ilan Young, ASYoung, BridgetYoungstrom, Eric A. Yuen, H. P. Yung, AlisonYung, Alison R.Yurgelun-Todd, Deborah Zaizov, Rina Zapart, S.Zaslavsky, A. M.Zaslavsky, Alan M.Zautra, Alex J.,'Zealand, Health Research Council of New Zeh, DonnaZelkowitz, Phyllis Zeman, Janice Zera, Gary Zhang, Heping Zhang, M Zieman, G. L. Zika, SherylZima, Bonnie T.Zimerman, Betsy Zimmerman, D.Zimmerman, DavidZimmerman, SherylZimmermann, H.Zizolfi, SalvatoreZlotolow, I. M. Zuckerman, E. Zulu, R. N.Zwygart-Stauffacher, Mary.@    Hyland, M. Year`YDeveloping a Local MHS Protocol for Outcome Measurement Implementation: A Practical Guide0 "Barwon Mental Health ServiceAUS-VIC-00014*d^Irvine, J. Dorian, P. Baker, B. O'Brien, B. J. Roberts, R. Gent, M. Newman, D. Connolly, S. J. 2002LFQuality of life in the Canadian Implantable Defibrillator Study (CIDS)American heart journal 144l2  282-9a Am Heart J 1097-6744m MHI-00004*haAmiodarone therapeutic use; Anti Arrhythmia Agents therapeutic use; Arrhythmia therapy; Defibrillators, Implantable; Quality of Life Aged ; Analysis of Variance; Arrhythmia psychology; Clinical Trials; Follow Up Studies; Middle Aged; Psychological Tests; Questionnaires ; Treatment Outcome Comparative Study; Female; Human; Male; Support, Non U.S. Gov'tBACKGROUND: The primary aim of this study was to compare quality-of-life outcome between patients randomized to implantable cardioverter defibrillator (ICD) therapy and patients randomized to amiodarone treatment in the Canadian Implantable Defibrillator Study (CIDS). A secondary aim was to evaluate the effects on quality-of-life outcomes of receiving shocks from the device. METHODS: Quality of life was assessed in 317 English-speaking participants by use of the Rand Corporation's 38-item Mental Health Inventory (MHI) and the Nottingham Health Profile (NHP). Assessments were done in the hospital at baseline and with mailed questionnaires after 2, 6, and 12 months of follow-up. Sixty-two percent of patients completed the follow-up assessments at 6 and 12 months. RESULTS: Repeated measures analysis of variance revealed significant time by treatment group interaction effect on total MHI and the psychological distress and psychological well-being sub-scales, and on 5 of the 7 NHP scales (energy, physical mobility, emotional reactions, sleep disturbance, and lifestyle impairment) (P <.05). Emotional and physical health scores were shown to improve significantly in the ICD group and were either unchanged (emotional health) or deteriorated (energy and physical mobility) in the amiodarone-treated group by means of post-hoc comparisons. Quality of life did not improve in the subgroup of patients in the ICD-treated group who received > or =5 shocks from their device. CONCLUSION: Quality of life is better with ICD therapy than with amiodarone therapy. The beneficial quality-of-life effects from an ICD are not evident in patients who receive numerous shocks from their device.@:Aug English Comment In: Am Heart J. 2002 Aug;144(2):208-11'jcDepartment of Psychology, York University, University of Toronto, Ontario, Canada. jirvine@yorku.cay Issakidis, C. Teesson, M.k 1999|vMeasurement of need for care: A trial of the Camberwell Assessment of Need and the Health of the Nation Outcome Scales4-Australian and New Zealand Journal Psychiatry335 754-9 Oct10545002 HON-00003**Health Services Needs and Demand; *Mental Health Services supply and distribution; *Needs Assessment Adult ; Evaluation Studies; Mental Health Services standards; New South Wales standards; supply and distribution"OBJECTIVE: The accurate assessment of the individual needs of clients has been the focus of increasing discussion in mental health service delivery and evaluation. There is evidence to suggest that clinicians and clients differ in their perceptions of need and that staff assessments alone may not be sufficient for determining need for care. This study addresses these discrepancies in an Australian setting. METHOD: The Camberwell Assessment of Need (short version) and the Health of the Nation Outcome Scales (HoNOS) were completed on a sample of 78 clients of a mental health service in inner Sydney. RESULTS: Clinicians identified a mean number of 7.3 needs per client (SD = 5.0) compared with 6.0 (SD = 2.4) identified by clients. The mean kappa coefficient for agreement between clinicians and clients in identification of the 22 need areas was 0.18 (range = 0-0.45), indicating poor to moderate agreement. Similarly, client ratings of need were only moderately correlated with clinician ratings of disability on the HoNOS (Pearson's r = 0.35). Clinician ratings of disability and unmet need were highly correlated (Pearson's r = 0.80), whereas ratings of disability and met need were moderately correlated (Pearson's r = 0.52). CONCLUSIONS: Individual needs assessments using the CAN are applicable in this Australian setting. Staff and clients differ in their assessment of need. It is important to consider both the role of the rater and the context in which they are making the ratings when applying need and disability assessments in clinical practice.0004-8674 Englishf`Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=ANP&vol=33&page=754&goto=abstract'xrClinical Research Unit for Anxiety Disorders, St Vincent's Hospital, Sydney, Australia. cathyi@crufad.unsw.echu.auJackson, J., et al.f 2003Part III. Gender, Ethnic and Racial Disparities in Mental Health and Mental Disorder. Section A. Multiple Paths: Socioeconomic and CulturallrkSocioeconomic Conditions, Stress and Mental Disorders: Toward a New Synthesis of Research and Public PolicyUSA-MHS-00029*The papers in this collection examine recent research on relationships among socio-economic conditions, mental health, and mental disorder. They focus either on the social stress process as a mechanism in these relationships-- exposure to stress and the use of personal and social resources in coping with stress-- or on the influence of the larger context(s) on the way this mechanism works-- in particular, the socio-economic conditions of peoples lives and the settings in which they interact with others. Obstacles to translating basic knowledge into efficacious preventive strategies, and efficacious strategies into effective population and service interventions, are explored throughout *,&Estramustine administration and dosage ethnicEthnic Differences ethnic groupsethnicity & sexEuropean American Evaluation evaluation of@functioning & global well-being & stability of Quality of Life<9functioning & interpersonal assertiveness & sociability &GARFgay Gaza Strip gendergender differencesgender effectsGene Frequency generalgeneral distress General Health QuestionnaireD?General Health Questionnaire-30 vs somatic symptom inventory-28General PractitionersGeneral WellBeing Scale generalized anxiety disorder(#generic adult mental health serviceGenesgenetic componentGenetic Linkage Genetics genotype GenotypesGeographical MobilityGeorgia epidemiologyGeriatric Assessment(#Geriatric Assessment classificationgeriatric depressionGeriatric Patients84Geriatric Psychiatry organization and administrationgeriatric symptoms Germany globalGlobal Assessment of(#Global Assessment of Function Scale$ Global Assessment of Functioning,&Global Assessment of Functioning Scaleq } Kornblith, A. B. Herndon, J. E., 2nd Silverman, L. R. Demakos, E. P. Odchimar Reissig, R. Holland, J. F. Powell, B. L. DeCastro, C. Ellerton, J. Larson, R. A. Schiffer, C. A. Holland, J. C.  2002Impact of azacytidine on the quality of life of patients with myelodysplastic syndrome treated in a randomized phase III trial: A Cancer and Leukemia Group B studyi"Journal of Clinical Oncology20102441-52, J Clin Oncol 0732-183Xo MHI-00010*Antimetabolites, Antineoplastic therapeutic use; Azacitidine therapeutic use; Leukemia, B Cell drug therapy; Myelodysplastic Syndromes drug therapy; Quality of Life Adult ; Aged ; Aged, 80 and over; Injections, Subcutaneous; Leukemia, B Cell psychology; Middle Aged; Myelodysplastic Syndromes psychology; Questionnaires ; Remission Induction; Treatment Outcome Comparative Study; Female; Human; Male; Support, Non U.S. Gov't; Support, U.S. Gov't, P.H.S.(B8Malla, A. K. Norman, R. M. G. Manchanda, R. Townsend, L. 2002`ZSymptoms, cognition, treatment adherence and functional outcome in first-episode psychosisPsychological Medicine326X 1109-1119X Aug 0033-2917 LSP-00029*Human; Male; Female; Adulthood (18 yrs & older) Cognitive Ability; Positive and Negative Symptoms; Psychosis; Treatment Compliance; Treatment Outcomes; Activities of Daily Living; Adjustment; Demographic Characteristics; Drug Therapy; Premorbidity; Social Behavior first episode psychosis; functional outcome; symptoms; demographics; cognition; social relations; adherence to medication; duration of untreated psychosis; premorbid adjustment; ADL<5The differential strength of correlation between symptoms, cognition and other patient characteristics with community functioning in first-episode psychosis (FEP) has not been fully investigated. In a sample of 66 FEP patients (74% male; mean age 25.6) demographic variables, ratings of premorbid adjustment (PA), positive and negative symptoms, duration of untreated psychosis (DUP) and assessment of cognitive functions (CFs) at baseline, and symptoms, CFs and adherence to medication (ATM) at 1 yr, were correlated with scores on social relations (SRs) and activities of daily living (ADL) (outcome) at 1 yr. Hierarchical regression analysis was used to confirm the independent contribution of baseline and concurrent variables to functional outcome at 1 yr. Scores on functioning related to SRs and ADL were both significantly correlated with PA, all dimensions of residual positive and negative symptoms and ATM at 1 yr. Scores on SRs were also modestly correlated with DUP and several cognitive measures at baseline and 1 yr (verbal IQ, attention, visual memory, word fluency and working memory). Hierarchical regression confirmed independent contribution of PA, total residual symptoms and ATM at 1 yr for both dimensions of outcome, and psychomotor poverty and working memory for SRs. (PsycINFO Database Record (c) 2003 APA )JDDoi 10.1017/s0033291702006050 Peer Reviewed Journal; Empirical Study'U Western Ontario, London Health Sciences Ctr, London Ontario, ON, Canada [Malla, Norman, Manchanda, Townsend] Contact Individual Malla, A K, U Western Ontario, PEPP, London Health Sciences Ctr, WMCH Building, 375 South Street, London Ontario, ON, Canada, N6A 4G5,%Malmberg, M. Rydell, A. M. Smedje, H.t 2003`YValidity of the Swedish version of the Strengths and Difficulties Questionnaire (SDQ-Swe)n"Nordic Journal of Psychiatry575c 357-63Nord J Psychiatryd 0803-9488  SDQ-00060o:4Mental Disorders diagnosis; Psychometrics ; Questionnaires Adolescent ; Adolescent Behavior; Child ; Child Behavior; Child, Preschool; Mass Screening; Mental Disorders psychology; Psychiatric Status Rating Scales; ROC Curve; Reproducibility of Results; Sensitivity and Specificity; Sweden Female; Human; Male The Strengths and Difficulties Questionnaire (SDQ) is an internationally widely used, brief screening instrument for mental health problems in children and teenagers. The SDQ probes behaviours and psychological attributes reflecting the child's difficulties as well as strengths, and targets hyperactivity/inattention, emotional symptoms, conduct problems, peer problems and prosocial behaviour. Also, the instrument taps the impact aspect, i.e. whether the child is judged to suffer from emotional or behavioural problems severe enough to cause distress or social impairment. Studies of the original English SDQ, as well as of translations into several other languages, attest to a compelling usefulness and validity of the instrument. In this investigation, the adequacy of the Swedish adaptation of the SDQ (SDQ-Swe) was tested in comparisons between parent reports on 5-15-year-old children drawn from a community sample (n=263) and from a child psychiatric sample (n=230). Results showed that the instrument differentiated well between the community and the psychiatric samples, the latter displaying more symptoms, fewer strengths and more social impairment. Moreover, ROC analyses showed satisfactory sensitivity and specificity of the principal scales of the SDQ-Swe at proposed cut-offs. Hence, results showed adequate validity of the SDQ-Swe, suggesting that this new instrument, an instrument in tune with the ideas of contemporary child psychiatry and psychology, is a useful tool for mental health screening in children and adolescents.English'pjChild and Adolescent Psychiatric Clinic, Hospital of Halsingland, Soderhamn, Sweden. mikael.malmberg@lg.se$Manderson, Julie McCune, Noel  2003HBThe use of HoNOSCA in a child and adolescent mental health service.'Irish Journal of Psychological Medicinei202 52-55r Jun2003-06295-005 HCA-00017*Adolescent Psychology; *Child Psychology; *Mental Health Services; *Rating Scales; *Treatment Outcomes; Behavior Problems; Emotionally Disturbed; Mental Health; Social Skillsa*#Assessed the health and social functioning of patients attending a Child and Adolescent Mental Health Service (CAMHS) and measured the impact of attendance using the Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA). HoNOSCA was completed on 73 consecutive patients attending for initial assessment with a review assessment being completed after 6 mo or at discharge from the clinic if this occurred sooner on 53 of these. Of the 53 (aged 4-17 yrs), 66% were male and 34% female. Boys were more highly rated with regard to aggressive behaviour, performance in peer relationships and family life relationships whilst girls were rated as having more nonorganic and emotional symptoms. Older children showed the highest rates of poor school attendance, non accidental (self) injury and emotional problems while younger children showed the greatest aggressive behaviour and language skill problems. An improvement in the total HoNOSCA score from initial assessment to review was seen in 92%. Age, sex and symptom profiles of patients attending the service were similar to other CAMHS. Attendance at CAMHS produces improvements in patient outcomes over a 6 mo period as measured using HoNOSCA, which proved to be a useful if somewhat time consuming tool. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.ijpm.orgManey, A., and Ramos, J. 20034-Introduction, Contributors & AcknowledgementsorkSocioeconomic Conditions, Stress and Mental Disorders: Toward a New Synthesis of Research and Public PolicyUSA-MHS-00032*The papers in this collection examine recent research on relationships among socio-economic conditions, mental health, and mental disorder. They focus either on the social stress process as a mechanism in these relationships-- exposure to stress and the use of personal and social resources in coping with stress-- or on the influence of the larger context(s) on the way this mechanism works-- in particular, the socio-economic conditions of peoples lives and the settings in which they interact with others. Obstacles to translating basic knowledge into efficacious preventive strategies, and efficacious strategies into effective population and service interventions, are explored throughout Goodman, Roberth 1999The extended version of the Strengths and Difficulties Questionnaire as a guide to child psychiatric caseness and consequent burdenD=Journal of Child Psychology & Psychiatry & Allied Disciplines405791-799- Juld 0021-96301 SDQ-00030*Human; Male; Female; Childhood (birth-12 yrs); Preschool Age (2-5 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs) Scotland; England Behavior Problems; Mental Disorders; Questionnaires; Test Forms; Test Validity; Distress; Family Relations; Psychiatric Symptoms; Screening Tests; Social Skills extended version of behavioral screening Strengths and Difficulties Questionnaire; assessment of psychiatric caseness & chronicity & distress & social impairment & family burden; 5-15 yr oldst82The Strengths and Difficulties Questionnaire (SDQ) is a brief behavioral screening questionnaire that asks about children's and teenagers' symptoms and positive attributes; the extended version also includes an impact supplement that asks if the respondent thinks the young person has a problem, and if so, enquires further about chronicity, distress, social impairment, and burden for others. Closely similar versions are completed by parents, teachers, and young people aged 11 yrs or more. The validation study involved 2 groups of 5-15 yr olds: a community sample (467 Ss) and a psychiatric clinic sample (232 Ss). The 2 groups had markedly different distributions on the measures of perceived difficulties, impact (distress plus social impairment), and burden. Impact scores were better than symptom scores at discriminating between the community and clinic samples; discrimination based on the single "Is there a problem?" item was almost as good. The SDQ burden rating correlated well with a standardized interview rating of burden. For clinicians and researchers with an interest in psychiatric caseness and the determinants of service use, the impact supplement of the extended SDQ appears to provide useful additional information without taking up much more of respondents' time. (PsycINFO Database Record (c) 2003 APA )JDDoi 10.1017/s0021963099004096 Peer Reviewed Journal; Empirical Study'd^U London, Inst of Psychiatry, Dept of Child & Adolescent Psychiatry, London, England [Goodman]o Continuities in support experience: The prediction of marital satisfaction, emotional well-being and distress from attContinuities in support experience: The prediction of marital satisfaction, emotional well-being and distress from attachment style, perceived support and nonsupport in the context of personal strivingsJacob, Faye Michelle  Fordham Ut L FThis study investigated patterns of attachment, perceptions of support and nonsupport in the context of personal strivings in married individuals. Marital adjustment and psychological well-being served as outcome variables. The influence of attachment patterns on support and nonsupport perceptions within marriage have not been studied and are most often explored in relation to stress, not positive events, such as personal strivings. It was hypothesized that secure attachment would be related to support perceptions, marital satisfaction and well-being, whereas insecure attachment was hypothesized to be related to nonsupport perceptions and distress. Marital satisfaction was hypothesized to be related to support perceptions and well-being and inversely related to distress and nonsupport perceptions. One hundred and nine participants were recruited through Jewish newspaper advertisements in suburban areas of Pennsylvania and New York which specified that couples were needed for a study of support in marital relationships. Questionnaires consisting of the following instruments were mailed to subjects: Attachment Styles Inventory; Strivings Assessment Scale; Perceived Support and Nonsupport Scale, Dyadic Adjustment Scale and the Mental Health Inventory. Results revealed that spouses with secure attachment showed more marital satisfaction, greater well-being and were less likely to experience distress and perceived nonsupport as opposed to those with an insecure attachment. Psychological well-being was predicted from secure attachment, perceived support and marital satisfaction, whereas psychological distress was predicted from perceived nonsupport. Marital satisfaction served as a mediator between secure attachment and well-being and between perceived support and well-being. Those couples in which a husband or wife were insecurely attached experienced more perceived nonsupport and experienced lower levels of marital adjustment. Results suggest that attachment patterns may continue to have an influence upon the spousal relationship and spouses' mental health. Support and nonsupport perceptions should be considered in conjunction when examining support experiences in marriage and personal strivings may be considered a new context through which to investigate such exchanges. Psychological mental health is related to marital quality and therefore, married individuals seeking counseling should be prompted to explore supportive processes within their relationships in order to gain a more comprehensive understanding of the conflict that may exist therein. (PsycINFO Database Record (c) 2003 APA ) 1999Availability UMI Dissertation Order Number AAM9903719 Dissertation Abstracts International: Section B: The Sciences & Engineering. Vol 59(8-B), Feb 1999, pp. 4466 Publisher US: Univ Microfilms International Dissertation Abstract; Empirical Study4.Human; Male; Female; Adulthood (18 yrs & older) Attachment Behavior; Distress; Marital Satisfaction; Spouses; Well Being; Social Support Networks attachment style & perceived support & nonsupport in context of personal strivings; marital satisfaction & emotional well-being & distress; married coupless) were asked to rate on a 6-point frequency or intensity scale how they had been feeling during the past month. Results show that internal consistency was >.9, and scores were stable over a 10-wk period. Boys reported slightly better mental health than girls, as in the original American research. (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study'yAustralian National U, Faculty of Science, School of Life Sciences, Div of Psychology, Canberra, ACT, Australia [Heubeck]W Klasen2000 Klein1986 Klimes20020 Klinkenberg1998 Klinkenberg1998 Knapp2002 Knyazev2003? Knyazev2004 Kobs1998 Koch19777 Koch20032 Kohler20010Kolaitis2003s Kolko2004 Kolvin20030zKominski2001q Kong2000Q Konok1999 Koren1992J Kornblith1996 Kornblith1996 Kornblith2001 Kornblith2001} Kornblith2002 Korpa2003 Korten2003 Koskelainen2000q Koskelainen2001 Koskelainen2001u Kouri1995 Kowatch2002 Kramer1998 Kramer2000t Kramer2004 Krause1992d Kravetz2001P Kroll2001v Kroll2003D Kubota1991 Kush2001 Kusumakar2001! Kydd2003Kymissis1996 Lachar1999 LaGrone1989 Lahey2000 Lal2001 Lalloo2003 Lambert2001 Lambert2002v Lambert2002 Lambert2003h Lamington2004 Lampe2001 Lancon20032 Landis1977| Langer20033Langmore2002Laplante2003 Lapsley2000 Larsen20000} Larson20020 Larzelere2001$Lathlean2001 Latimer2002 Lauzon2001t Lavidor2002s Lavidor2003 Lawton1999g Lawton19999 Leaf1996@ Leavey2004tLecic-Tosevski1999 Leckman1999 Lecomte2001 Lecomte2004 Lecomte2004 Ledermann2003 Lee1996 Lee2001 Lee2002 Lee2003W Lees-Haley1992 Leese2003 Leff19999 Leff19999 Lehoux2003z Lehtila1996z Leijala1996 Leitner2001Lelliott19979YLelliott19999ZLelliott19999fLelliott1999gLelliott1999Lelliott2000$Lelliott2001WLelliott20033 Lenane19944 Lenane20022o Lerman1991 Lerner19969 Lesage20011 Lesage20022( Lesage20022v Lesko1996 Lester2002 Leung2001T Levine2000rX Levine2002 Levitt20020q Levy-Shiff1998 Lewis1999 Lewis2001 Lewis2001~ Liadsky2002 Liang1992Liberman2001 Libow2003Lichtman19999> Lidal2002 Likourezos2003 Lim1999 Lin2003 Lindsay2000w Lindsey20030 Link2003 Lish20000- Little19999n Littlefield1996 Liu2001_ Livingston2003K Livingston2004 Livne Snir2002 Ljunggren1992 Ljunggren1996'Llewelyn2001 Lloyd1996 Lloyd2001 Loader20033w Loewenthal2003r Logue1998 Loh2001 Lohr19999Lombardo1995 Long1998hf Lontz2004 Lora2001 Lothstein1996 Lowin2002e Lubben19955 Lucas2002 Lucchi1998\ Luk2001K Luk2002; Luk2004 Lunney19988 Lusk1984 Lyle2002i Lynn2000 Maas20010 Maas20020 Maas2004Q MacDonald1999a Macdonald1999e Macdonald1999` Macdonald2002 Macias19999| Maclean20025 Macpherson2003 Madden2002 Madden2003 Madsen20010 Magaziner2001 Main1995 Mair20030Malhotra1998 Malla1999 Malla2000 Malla2002 Malla2002nMalmberg2003 Malo19999|Malstrom2003Manassis2001 Manchanda2002 Manderscheid2003M Manderson2003+ Maney2003w Manne2001 Manning1984Y Manning1989X Manning2003qManovich19989R Mantell1988N Mantell1989Marcenes2002y March2004 Marchessault1996 Maresca2001Margison2000Margison200126Margison2001 Marks1996 Marks1998 Marks1998 Marmot2001 Marmot20011Marriage20011 Marsden1999 Marsh1998C Marston2002 Martin2002E Martin20020F Martin20020 Martin20020 Martin20033 Martin20044Martinez20020Martinez Sarasa1999Martinez Taboas2004 Martins2000 Martins2002s Maruish2002 Marusic2001} Masi1998 Masi2000 Masi2001 Masi2001 Masi2002 Masi2003 Mastrianni1997 Mathai2002 Mathai2003 Mathai2004 Mathew1997 Mathew1998 Matsumoto20032Matthews19999EMatthews2002FMatthews2002 Maude2002 Maughan2004 Maxwell2000z Maxwell2001e Mayer-Oakes1995 Mayeya20020 Mayeya20020 Mayou2004r Mazaira2000 Maziade2003Mazzarda20030 Mbatia20020McArthur20040 McAvay19989i McBee1977 McCabe1996 McCabe2002 McCall1999 McClelland2000tMcCollum2001 McConaughy1987 McConnell2001 McConville19965 McCreadie2000M McCune20030 McDougall2001McDowell1996 McEvoy2002 McFarland2002McGauran2000 McGonagle1997 McGorry2002 McGorry2003 McGrath2001McGuffin20020AMcHorney1993BMcHorney1994<McHorney1995 McInnes1997McIntosh1999McIntosh20000McIntosh2002| McKay2002 McKee2002 McKenna1994McKeowen1995 McKeown1997, McLean1993 McLean19999 McLean2000_ McLean2001 McLean2002 McLean2004McLean Hospital2004McLean Hospital2004 McLeer1998 McMunn2001 McMunn2001 McMunn2002McNamara2003McNamara2003 McNiven2001 McNiven2002W Mears20032 Medley19999 Meehan2001 Meehan2003Meesters2003 Mehr20010 Mehr20020@ Mehra1991IMelanson1995t Mellor-Clark2000 Mellor-Clark2001( Mellsop1997 Meltzer1998 Meltzer2000 Meltzer2001z Meltzer2003} Meltzer2003~ Meltzer2003 Meltzer2004-Menaghan2003F Mendoza1990?1+Mental Health Statistic Improvement Program2001=1+Mental Health Statistic Improvement Program2002>1+Mental Health Statistic Improvement ProgramYear@1+Mental Health Statistic Improvement ProgramYearA1+Mental Health Statistic Improvement ProgramYearB1+Mental Health Statistic Improvement ProgramYearC1+Mental Health Statistic Improvement ProgramYear2/,Mental Health Statistics Improvement Program4/,Mental Health Statistics Improvement Program9/,Mental Health Statistics Improvement Program:/,Mental Health Statistics Improvement ProgramC/,Mental Health Statistics Improvement ProgramD3,Mental Health Statistics Improvement Program1965J3,Mental Health Statistics Improvement Program1996D3,Mental Health Statistics Improvement Program2003E3,Mental Health Statistics Improvement Program2003F3,Mental Health Statistics Improvement Program2003G3,Mental Health Statistics Improvement Program2003ovement ProgramYear2/,Mental Health Statistics Improvement Program4/,Mental Health Statistics Improvement Program9/,Mental Health Statistics Improvement Program:/,Mental Health Statistics Improvement ProgramC/,Mental Health Statistics Improvement ProgramJ3,Mental Health Statistics Improvement Program1996D3,Mental Health Statistics Improvement Program2003E3,Mental Health Statistics Improvement Program2003F3,Mental Health Statistics Improvement Program2003G3,Mental Health Statistics Improvement Program20032003z TKominski, G. Andersen, R. Bastani, R. Gould, R. Hackman, C. Huang, D. Jarvik, L. Maxwell, A. Moye, J. Olsen, E. Rohrbaugh, R. Rosansky, J. Taylor, S. Van Stone, W.b 2001UPBEAT: the impact of a psychogeriatric intervention in VA medical centers. Unified Psychogeriatric Biopsychosocial Evaluation and Treatment Medical care395 500-12Med Care 0025-7079 MHI-00013*Alcoholism complications; Alcoholism diagnosis; Anxiety Disorders complications; Anxiety Disorders diagnosis; Continuity of Patient Care organization and administration; Depressive Disorder complications; Depressive Disorder diagnosis; Geriatric Assessment; Geriatric Psychiatry organization and administration; Hospitals, Veterans utilization; Mass Screening organization and administration; Mental Health Services organization and administration; Patient Care Team organization and administration; United States Department of Veterans Affairs utilization Aged ; Alcoholism therapy; Analysis of Variance; Anxiety Disorders therapy; Comorbidity ; Cost Benefit Analysis; Depressive Disorder therapy; Follow Up Studies; Health Status; Hospitals, Veterans economics; Mental Health; Middle Aged; Outcome Assessment Health Care; Program Evaluation; Psychiatric Status Rating Scales; United States; United States Department of Veterans Affairs economics; Veterans Female; Human; Male; Support, U.S. Gov't, Non P.H.S.ZSBACKGROUND: The Unified Psychogeriatric Biopsychosocial Evaluation and Treatment (UPBEAT) program provides individualized interdisciplinary mental health treatment and care coordination to elderly veterans whose comorbid depression, anxiety, or alcohol abuse may result in overuse of inpatient services and underuse of outpatient services. OBJECTIVES: To determine whether proactive screening of hospitalized patients can identify unrecognized comorbid psychiatric conditions and whether comprehensive assessment and psychogeriatric intervention can improve care while reducing inpatient use. DESIGN: Randomized trial. SUBJECTS: Veterans aged 60 and older hospitalized for nonpsychiatric medical or surgical treatment in 9 VA sites (UPBEAT, 814; usual care, 873). MEASURES: The Mental Health Inventory (MHI) anxiety and depression subscales, the Alcohol Use Disorder Identification Test (AUDIT) scores, RAND 36-Item Health Survey Short Form (SF-36), inpatient days and costs, ambulatory care clinic stops and costs, and mortality and readmission rates. RESULTS: Mental health and general health status scores improved equally from baseline to 12-month follow-up in both groups. UPBEAT increased outpatient costs by $1,171 (P <0.001) per patient, but lowered inpatient costs by $3,027 (P = 0.017), for an overall savings of $1,856 (P = 0.156). Inpatient savings were attributable to fewer bed days of care (3.30 days; P = 0.016) rather than fewer admissions. Patients with 1 or more pre-enrollment and postenrollment hospitalizations had the greatest overall savings ($6,015; P = 0.069). CONCLUSIONS: UPBEAT appears to accelerate the transition from inpatient to outpatient care for acute nonpsychiatric admissions. Care coordination and increased access to ambulatory psychiatric services produces similar improvement in mental health and general health status as usual care.t May Englishe'LEUCLA School of Public Health, Los Angeles, CA, USA. kominski@ucla.edue8*#Eisen, Susan V. Culhane, Melissa A.B 1999:4Behavior and Symptom Identification Scale (BASIS-32) Maruish, M. E.`YThe Use of Psychological Testing for Treatment Planning and Outcomes Assessment (2nd ed.)  Mahwah, NJ "Lawrence Erlbaum Associates 759-790n0805827617 (hardcover) BAS-00038l~xBehavioral Assessment; Scaling (Testing); Symptoms; Treatment Outcomes; Treatment Planning; Monitoring; Test Construction; Test Interpretation; Test Reliability; Test Validity development & reliability & validity issues & interpretive strategy & status of available norms of Behavior & Symptom Identification Scale & use in treatment planning & monitoring & outcome assessment(From the chapter) This chapter provides an overview of the BASIS-32 (Behavior and Symptom Identification Scale), including a summary of its development, information about its reliability and validity, a basic interpretive strategy, and the status of available norms. The overview is followed by a discussion of the use of the instrument for treatment planning, treatment monitoring, and outcomes assessment, including a focus on its use in managed care settings. Limitations of the use of the BASIS-32 for these purposes are also presented. Several brief case studies are described to present how BASIS-32 assessments can be clinically useful on an individual level. (PsycINFO Database Record (c) 2003 APA ):3Target Audience Psychology: Professional & Researchi'*$McLean Hosp, Belmont, MA, US [Eisen],%Eisen, S. V. Leff, H. S. Schaefer, E.  1999VOImplementing outcome systems: lessons from a test of the BASIS-32 and the SF-36082Journal of Behavioral Health Services and Research261d 18-27dJ Behav Health Serv Rest 1094-3412n BAS-00012*leBehavior Therapy statistics and numerical data; Health Status; Mental Disorders rehabilitation; Outcome and Process Assessment Health Care statistics and numerical data; Personality Assessment statistics and numerical data Mental Disorders diagnosis; Mental Disorders psychology; Psychometrics ; Reproducibility of Results Human; Support, U.S. Gov't, P.H.S.zB;With increasing pressure from third-party payers to assess client outcomes, clinical programs want to know how to implement outcome systems. This article focuses on practical and logistic questions involved in implementing an outcome assessment system in ambulatory behavioral healthcare settings. Study questions addressed outcome systems in general and the use of the Behavior and Symptom Identification Scale (BASIS-32) and the Short Form Health Status Profile (SF-36) in particular. General questions focused on obtaining provider buy-in, client consent and confidentiality, data collection methods, sampling, time points, maximizing client participation, clinical utility of outcome data, and resources needed for outcome assessment. Measure-specific questions focused on client acceptability of the instruments and applicability of measures to diverse populations. The article suggests several strategies for enhancing outcome assessment efforts and concludes that there remains a need for further understanding of ways to maximize the utility and value of outcome measurement.  Feb Englisho'XQDepartment of Mental Health Services Research, McLean Hospital, Belmont, MA, USA.yefined on two axes: diagnosis (ICD-10-Primary Care Version) and severity. There are three levels of severity, based on HoNOS scores: high is over 20, or one 4 or two 3s in Scales 1 8; moderate is HoNOS score 11-20; low is 10 or less. This results in 69 HBGs. For HRGs, a tool was required that classified interventions according to clinical homogeneity and similarity of resource use. We were not aware (in 1998) of any national tool in routine use, apart from inpatient Occupied Bed Days (OBDs) and Krner contacts (neither returns are patient-based). However, Paul Cliffords 1993 FACE (Functional Analysis of Care Environment) tool covered clinical use and resources, and was tested in the pilot sites. The results showed that while the resource use was covered adequately by the FACE tool, the interventions were not. The proposed HRGs use elements of the Department of Healths Service Mapping exercise as well as the FACE intensities. The result has been the development of 130 HRGs.www.nhsia.nhs.uk"James, Michael Kehoe, Robert 1999HBUsing the Health of the Nation Outcome Scales in clinical practicePsychiatric Bulletin239536-538 Sep2000-03450-008 HON-00082*Mental Disorders; *Mental Health Services; *Psychosocial Factors; *Rating Scales; Psychiatric Patients; Treatment Outcomes; Health Personnelw:4Describes the implementation of a plan to use a validated outcome measure in the care and treatment of people with severe mental illness within a district general hospital psychiatric service. Multiple techniques were necessary to promote actual change of practice. A survey of practice found 77% of full Care Programme Approach patients to have recorded Health of the Nation Outcome Scales (HoNOS) scores in their care plans one year after the beginning of the implementation plan. Thus, it is possible to incorporate the use of HoNOS in to everyday practice but it takes a lot of time, effort and resources. Mental health services may require a clearer indication from the National Health Service Executive regarding the use of such outcome scales before committing themselves. (PsycINFO Database Record (c) 2003 APA )English)http://www.rcpsych.ac.uk James, M.( 2002The use of the health of the nation outcome scales (HoNOS) in routine clinical practice by NHS mental health services providers in England: A summary of findingssThe Approach, (CPAA)23 not available Jenkins, R.P 1990D=Towards a system of outcome indicators for mental health care$British Journal of Psychiatryt 157500-514{ OUT-MH-00018A system of outcome indicators for mental health care is urgently needed in order to ensure that clinicians, district health authorities, and directors of public health can monitor and evaluate mental health care. Theoretical aspects of health care indicators and the various classes of outcome measures available can be used to draw up a preliminary system of indicators of health care input, process and outcome for the major categories of mental illness, including schizophrenia, affective psychosis, neurosis, dementia, mental handicap, child psychiatry, forensic psychiatry, alcohol and drugs. Such a system is not intended to be definitive or exhaustive but rather to form a basis for development by clinicians, researchers and planners for their own requirements.$Jenkins, Rachel Glover, Gylesy 1997HAThe importance of service level measures for mental health policym*#Epidemiologia e Psichiatria Socialey6l 1,MonoSuppl229-237]Jan-Apr2002-10317-021 OUT-MH-00028*Epidemiology; *Goals; *Health Care Delivery; *Mental Health Program Evaluation; *Health Care Policy; Population; Public Opinion; Strategies.'Discusses the importance of service level measures for mental health policy. Mental health policy is formulated at all levels. Every country needs a sound mental health policy with clear objectives and a practical strategy framework for implementation. Mental health policy needs to take account of the epidemiology, resource infrastructures of the country, and public beliefs and opinions. Mental health care needs are best measured initially at the population level. Each country needs to measure the resources it is putting into mental health services in terms of inputs of care, and understand how resources are used in the processes of care. Service data needs to be translated into information that provides significant assistance to the policy-making process. (PsycINFO Database Record (c) 2003 APA )aEnglishlhttp://www.pensiero.it Mn, l Hope, P. L.Hopko, Derek R. Horesh, NettaHorwitz, R. I. Hough, R. Hoult, J. House, A.House, Allan O.Hoven, ChristinaHoven, Christina W. Howe, Amanda Howell, C. T.Howes, Mary J.Howie, Fiona L.Howlin, Patricia Huang, D.Huang, Zheng-Bo Huba, G. J.Huba, George J. Huddy, C. L.Huebeck, B. G. Huffman, LCHughes, ClaireHughes, Herschel, Jr. Hughes, J. Hugo, M Hugo, Malcolm Hukkanen, R.Hukkanen, RaijaHuline-Dickens, Sarah Hull, J. W. Hunter, J.,'Hunter, J., Higginson I. & Garralda, E. Hunter, R.Hunter, Robert Huryn, J. M. Hutz, M. H. Huxley, P. Huxley, Peter Hwang, S. S. Hyer, Lee A. Hyland, M. Hyslop, Jon Ibarra, G. N.Ikegami, Naoki Imrie, DavidIn: Sederer, L. I.Indredavik, Marit S. Irvine, J.IsHak, Waguih William Issakidis, C.Jackson, J., et al.Jackson, KirbyJackson, Kirby L.Jacob, Faye MichelleJacobs, Dennis Roger Jacobson, J. Jacobson, N. S., & Truax, P.$ Jacobson, N.S., & Revensdorf, D.40Jacobson, N.S., Follette, W.C., & Revenstorf, D.D@Jacobson, N.S., Roberts, L.J., Berns, S.B., and McGlinchey, J.B. Jaffa, Tony Jaffe, Craig James, Calvin James, M. James, MaryJames, MichaelJamieson-Craig, RebekahJanmohamed, Anis Jarvik, L.Jellinek, M. S. Jenkins, R.Jenkins, Rachel Jensen, P. S. Jette, A. Jezzard, R.Jhingan, H. P. Jiang, H. John, U. Johnson, A.Johnson, BruceJohnson, M. E.Johnson, Mark E.Johnson, Sonia Johnston, S.Joiner, Thomas E., Jr.@=Joint Commission on Accreditation of Healthcare Organizations Jolley, D. Jones, Cathy Jones, EJones, Hope Carroll Jones, I. Jones, P.Jonsson, Palmi V. Jordan, D Jorm, A. F.Jorm, Anthony F.Judd, Fiona K.Justice, BlairKaiser, Wolfgang Kalijonen, A. Kanerva, A. Karon, SaraKaron, Sarita L. Karus, Daniel Kaschnitz, W. Kasimis, B.Kasius, Marianne C. Kasl, Stan Kasper, S.Katsavdakis, Kostas A. Katz, J.Kaufman, James C. Kaufman, JoanKavanagh, David J. Kehoe, Robert Keks, N. A.(#Keks, N.A., Hope, J.D. & Trauer, T. Keller, Suzie Kelly, C. Kelly, Ciaran Kelly, Y. J. Kelsey, W. Kelsey, Wendy Kendall, P.C. Kennedy, C.Kessler, R. C.Kessler, Ronald C.Kewman, Donald G. Keys, R.Khademy-Deljo, A.Khaski, Albert Kiima, David Kind, Paul King, Michael King, R. Kinkel, R. P.Kinsey, Jodi CoppageKiosseoglou, Grigoris Kirkby, K Kirkby, K. Kisely, S. Klasen, H. Klein, A. A. Klimes, I.Klinkenberg, DeanKlinkenberg, W. D. Knapp, M.Knyazev, Gennadij G. Kobs, AEJ Koch, G. G. Koch, U.Kohler, Christiane Kolaitis, G.Kolko, David J. Kolvin, I. Kominski, G.Kong, Chit-Kwong Konok, G. Koren, M. J.Kornblith, A. B.Kornblith, Alice B. Korpa, T. Korten, A. E.Koskelainen, M. Kouri, ElenaKowatch, Robert A. Kramer, T. L. Kramer, TamiKramer, Teresa L. Krause, N. M.Kravetz, Shlomo Kroll, LeoKubota, HiroyaKush, Francis R.Kusumakar, Vivek Kydd, R. Kydd, RobKymissis, Paul Lachar, DLaGrone, R. G. Lahey, B. B. Lal, Rakesh r( Sheitman, Brian B.Sheldon, Trevor A.Shelton, DeborahSherbourne, C. D.Sherbourne, C.D.Shergill, SukhwinderShergill, Sukhwinder S. Sherlock, L. Sherman, C. Shields, R. Shiels, Mary Shipley, K.Shirk, Stephen Shore, AlisonShotwell, Mary Shrout, P. E.Shugarman, L. R.Shugarman, Lisa R.Sidoli-LeBlanc, EstherSiegel, KarolynnSiegel, Lesley Siggins Miller Consultants Silaj, A.Silverman, L. R.Simeoni, M. C. Simmonds, S. Simmons, H.Simmons, Helen Simon, A. E.Simon, Andor E.Simon, Samuel E. Simpson, L.Sinclair Smith, H.Singh, Jagdish Singh, S. P. Sivertsen, M.Skarupski, K. A. Slade, M Slade, M.D>Slade, M., Thornicroft, G., Beck, A., Bindman, J. & Wright, S. Slade, Mike Slade, T. Slade, TimSlobodskaya, Helena R.Small, David R. Smart, DW Smedje, H. Smith, A. Smith, D. Smith, D. J. Smith, DavidD?Smith, G.R., Manderscheid, R.W., Flynn, L.M. & Steinwachs, D.M.HBSmith, G.R., Rost, K.M., Fischer, E., Burnam, M.A. and Burns, B.J. Smith, GR Smith, J. Smith, LG Smith, M. Y. Smith, P. G. Smith, T. E.Smith, Trevor F. Smithard, A.Smout, MatthewSmukler, MichaelSnowden, Lonnie R.Snowling, Margaret J. Solomon, S. Somer, EliSondergaard, S. Sonuga-Barke, Edmund J. S. Sorgaard, KSorokin, Oleg V. Sorter, M. T. Sourander, A.Sourander, Andre Sousa, S. A. Spear, J. Speer, DCSpellman, Douglas F.DASpence, S., Donald, M., Dower, J., Woodward, R., and Lacherez, P.Speredelozzi, Alexander Spiro, R. H.Spitzer, EstherSpitzer, R. L.Sporn, Alexandra Spratt, E. G. Srebnik, DSrinath, ShobaSrinivasan, T.Srivastava, A. K.Srivastava, Shipra St Martin, Samantha Rachel Staffen, W. Stafrace, S.Staghezza, BeatrizStallard, PaulStancombe, JohnStansbrey, Robert J.Starling, Jean Startup, Mike0*State of Tennessee, & Bureau of TennCare &0*State of Tennessee, Bureau of TennCare and0+State of Utah, Department of Human Services`[State of Utah, Department of Human Services, Division of Substance Abuse and Mental Health,Staudenmeier, James J. Stedman, T.85Stedman, T., Yellowlees, P., Mellsop, G., Clarke, R.,Stedman, Terry Steele, M. Stein, G.S. Steinhausen, Hans-ChristophSteinwachs, D.M. Sternberg, M. Stevenson, JStevenson, M. R.Stewart Brown, S.Stewart, A. L.Stewart, Carol M. Stewart, G.Stiles, William B.Stogiannidou, Ariadni Stores, G.Strakowski, Stephen M.<9Strategic Planning Group for Private Psychiatric Services Strathdee, G.Strathdee, GeraldineStrauss, Bernhard Street, Eddy Streiner, D.Streiner, D. L.Stretch, David Strong, E. W. Strong, J. E. Strong, V. Strouse, T. Sturm, RolandSubbakrishna, D. K.Subramanian, S. Suchinsky, RSummerfield, LouiseSurgenor, Tammy E. Sutcliffe, C.Sutherland, Sharon Swan, JamesSwanson, Arthur J. Swinson, R Szobot, C.Tanaghow, Amgad Tanaka, J. S.Tanaka, Jeffrey S.Tancredi, Raffaella Tang, Lingqi+75-./1423v2+Australian Institute of Health and Welfare,  2002$Certified Agreement 2002-2005uAUS-AIH-00002* 2+Australian Institute of Health and Welfare,a 2003F@Community mental health establishments National Minimum Data Set :4Canberra, Australian Institute of Health and WelfareAUS-AIH-00003* 2+Australian Institute of Health and Welfare,e 2003Admitted patient mental health care National Minimum Data Set. National Health Data Dictionary, Version 12. AIHW Cat. No. HWI 49. :4Canberra: Australian Institute of Health and WelfareAUS-AIH-00001* RKAustralian Institute of Health and Welfare, National Health Data Committee,3 20032+National Health Data Dictionary, Version 12r Canberra 0*Australian Institute of Health and Welfare 2+Australian Institute of Health and Welfare,s 2003tmCommunity mental health establishments National Minimum Data Set. National Health Data Dictionary. Version 12\ Canberra 0*Australian Institute of Health and WelfareAUS-AIH-00003* 2+Australian Institute of Health and Welfare,V 2003jcCommunity mental health care National Minimum Data Set. National Health Data Dictionary. Version 12h Canberra 0*Australian Institute of Health and WelfareAUS-AIH-00003* 2+Australian Institute of Health and Welfare,i 2004Community mental healthcare 200001. Review of data collected under the National Minimum Data Set for Community Mental Health Care :4Canberra, Australian Institute of Health and WelfareAUS-AIH-00004* 2+Australian Institute of Health and Welfare,l 20042+Mental health services in Australia 200102u :4Canberra, Australian Institute of Health and WelfareAUS-AIH-00005* 82Australian Institute of Health and Welfare (AIHW), 20034-National Health Information Model. Version 2.0 Canberra: AIHWAUS-AIH-00006* 82Australian Institute of Health and Welfare (AIHW), 2004HBMEDIA RELEASE - 3.4 Million GP consultations a year for depression Canberra: AIHWAUS-AIH-00007*82Australian Institute of Health and Welfare (AIHW), Yearb[AIHW Ethics Committee - Guidelines for the Preparation of Submissions for Ethical ClearanceaAUS-AIH-00008~D=Australian Mental Health Outcomes and Classification Network,  2004F@National Outcomes and Casemix Collection: Users Reference ManualAUS-NOC-00007* D=Australian Mental Health Outcomes and Classification Network,  2004& AMHOCN Joint Work Plan 2004-2005 AMH-00003* D=Australian Mental Health Outcomes and Classification Network, 20042,Stakeholder Consultations 2004. Presentation AMH-00001* D=Australian Mental Health Outcomes and Classification Network,o 2004TNChild and Adolescent National Outcomes and Casemix Collection Standard Reports Melbourne/Brisbane/Sydney0 .(Australian Rehabilation Outcomes Centre, YearhbAustralian Rehabilitation Outcomes Centre (AROC) Subscription Form Organisations Submitting Data 0)Australian Rehabilitation Outcomes CentreXAUS-ARO-00002*\VAverill, Patricia M. Hopko, Derek R. Small, David R. Greenlee, Helen B. Varner, Roy V. 2001^WThe role of psychometric data in predicting inpatient mental health service utilizationbPsychiatric Quarterlyb723b215-235 Falt 0033-2720p LSP-00023*(!Human; Inpatient; Adulthood (18 yrs & older) Us Health Care Utilization; Mental Health Services; Prediction; Psychiatric Hospital Readmission; Psychometrics; Psychiatric Patients psychometric data; mental health service utilization prediction; readmission; psychiatric hospital inpatientsExamined the potential usefulness of psychometric data in predicting mental health service utilization. The sample consisted of 131 patients (mean age 35.9 yrs) hospitalized during an index period of 8 mo at an acute-care psychiatric hospital. Number of readmissions was recorded in a 9 mo post-index period. Measures completed during the index admission included the Brief Psychiatric Rating Scale-Anchored (BPRS-A), Symptom Checklist-90-Revised (SCL-90-R), Kaufman Brief Intelligence Test, and the Beck Depression Inventory (BDI). Results indicate that psychometric data accounted for significant variance in predicting past, present and future mental health service utilization. The BPRS-A, SCL-90-R, and BDI show particular promise as time efficient psychometric screening instruments that may better enable practitioners to identify patients proactively who are at increased risk for rehospitalization. Implications are discussed with regard to patient-treatment matching and discharge planning. (PsycINFO Database Record (c) 2003 APA )rHBDoi 10.1023/a:1010396831037 Peer Reviewed Journal; Empirical Study'PIU Texas, Houston Harris County Psychiatric Ctr, Houston, TX, US [Averill]n d^Kornblith, A. B. Herndon, J. E., 2nd Zuckerman, E. Godley, P. A. Savarese, D. Vogelzang, N. J. 2001The impact of docetaxel, estramustine, and low dose hydrocortisone on the quality of life of men with hormone refractory prostate cancer and their partners: A feasibility studyAnnals of Oncology125 633-41 Ann Oncol 0923-7534 MHI-00001*b[Antineoplastic Combined Chemotherapy Protocols therapeutic use; Emotions ; Paclitaxel analogs and derivatives; Prostatic Neoplasms complications; Prostatic Neoplasms drug therapy; Quality of Life; Taxoids Administration, Oral; Aged ; Aged, 80 and over; Anxiety ; Drug Resistance, Neoplasm; Estramustine administration and dosage; Feasibility Studies; Health Status; Hydrocortisone administration and dosage; Infusions, Intravenous; Mental Health; Middle Aged; Paclitaxel administration and dosage; Pain ; Sexual Behavior; Spouses Female; Human; Male; Support, Non U.S. Gov't; Support, U.S. Gov't, P.H.S.82OBJECTIVES: The quality of life (QoL) of 44 men with HRPC and 37 partners (primary caregivers, most residing with the patient) was assessed in a multicenter Phase II trial of docetaxel, estramustine and low dose hydrocortisone (CALGB 9780). A secondary objective was to test the feasibility of assessing partners' QoL in a cooperative group setting. PATIENTS AND METHODS: Patients and partners were separately interviewed by telephone at baseline, two, four and six months by a single trained research interviewer. Patients' QoL was measured by the FACT-P, Mental Health Inventory-17 (MHI-17), Brief Pain Inventory (BPI), a two-day log of pain medications, and the OARS for co-morbid conditions. Partners' QoL was measured by the MHI-17, Caregiver Burden Interview, and co-morbid conditions. RESULTS: The QoL study refusal rates were low for patients (4%) and partners (3%). Although patients tended to experience greater treatment side effects in the first two months (FACT Physical Well-Being item, P = 0.057), their cancer-specific emotions (e.g., worrying about worsening health) significantly improved at two and four months (FACT-Emotional Well-Being, P = 0.003, P = 0.03, respectively), as did their prostate cancer-specific physical problems (e.g., urination, pain), at two and four months (FACT-P, P = 0.001, P = 0.005, respectively). Partners' anxiety significantly decreased over time (MHI, P < 0.05). Patients' quality of life at two months was significantly related to their clinical response (FACT-P total and prostate cancer-specific problems, P < 0.05), and their clinical response was significantly related to a decrease in their partners' anxiety at two months (MHI, P < 0.05). CONCLUSIONS: Despite feeling worse from side effects, patients' prostate cancer-specific problems and emotional state significantly improved in the first four months of treatment. With treatment significantly affecting both patients' and partners' lives. and the successful assessment of partners' QoL, QoL of both patients and partners could be used as important endpoints in selected clinical trials. May Englishl'Department of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, NYC, New York, USA. akornbli@bethisraelny.org F*OK| A 0)Ware, J. E. Davies-Avery, A. Brook, R. H.a 1980Conceptualization and Measurement of Health for Adults in the Health Insurance Study: (4) Analysis of Relationships Among Health Status Measures  Santa Monica RAND Corporation>7Ware, J. E. Manning, W. Duan, W. Wells, K. Newhouse, J. 1984@:Health status and use of outpatient mental health servicesAmerican Psychologist 39 1090-1100$Ware, J. E. Sherbourne, C. D.a 1992jdThe MOS 36-item Short Form Health Status Survey (SF-36): (1) Conceptual framework and item selection Medical Care30473-483f MHI-00070r4-Way, Bruce B. Buscema, Charles Sawyer, Donaldt 2004jcQuality of life instrument in prison: Detecting disability, external validity, and factor structure.'American Journal of Forensic Psychology221 41-52 0733-1290a BAS-00039c$Human Us Factor Structure; Psychiatric Symptoms; Psychometrics; Quality of Life; Test Validity; Measurement; Prisoners; Prisons Quality of Life in Prison; disability detection; external validity; factor structure; psychometric properties; quality of life; inmates; psychiatric symptomsNHObjective: Conduct a preliminary assessment of the psychometric properties of a new instrument for assessing the quality of life of inmates living in correctional environments. This scale includes psychiatric symptoms, functioning, and quality of life items adapted from the Basis-32 and the Quality of Life Inventory, as well as additional items. Method: Administer to a sample of about 500 inmates in state prison in New York State, some with and some without mental illness, and explore aspects of the instrument's psychometric properties. Results: The Quality of Life in Prison (Q-LIP) instrument detected various levels of disability in the population. Increasing Q-LIP disability corresponded with increasing mental health service need classification, type of psychiatric diagnosis, and presence of psychosis and impulsiveness. A factor analysis produced a model with four factors, which explained 66% of the variance. The factors were a) serious mental illness, b) anger/violence, c) satisfaction/optimism, and d) judgment. Discussion: The Q-LIP instrument detected differing degrees of disability in a sample of state prison inmates, had external validity, and a consistent factor structure. The Q-LIP is being used in the evaluation of several new mental health treatment programs... (PsycINFO Database Record (c) 2004 APA ) (journal abstract)RKPeer Reviewed Journal; Empirical Study; Quantitative Study; Journal Article'2+CNYPC, Marcy, NY, US [Way, Buscema, Sawyer]pXQWeinstein, Milton C. Berwick, Donald M. Goldman, Paula A. Murphy, Jane M. et al., 1989nhA comparison of three psychiatric screening tests using receiver operating characteristic (ROC) analysis Medical Care276593-607 Jun 0025-7079 MHI-00060Human; Adulthood (18 yrs & older) Mental Disorders; Psychodiagnosis; Screening Tests; Health Maintenance Organizations receiver operating characteristic analysis; evaluation of psychiatric screening tests; 20-64 yr old HMO membersROC analysis was used to evaluate 3 psychiatric screening tests: the General Health Questionnaire, the Mental Health Inventory (MHI) by J. E. Ware et al (1979, 1980), and the Somatic Symptom Inventory (SSI) by A. J. Barsky et al (see PA, Vols 73:27501 and 75:24316). 364 health maintenance organization (HMO) members were given these tests and a Diagnostic Interview Schedule as a truth standard for current psychiatric diagnosis. The MHI performed significantly better than the GHQ in detecting mental disorders generally and anxiety disorders in particular, and somewhat better in detecting affective disorders. The SSI performed best in detecting anxiety disorders and was significantly better than the GHQ. (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study'B;Harvard School of Public Health, Boston, MA, US [Weinstein]eWeiss, Arnold S. 1987<6Psychological distress and well-being in Hare KrishnasPsychological Reportse611 23-35  Augf 0033-2941o MHI-00056fHuman; Adulthood (18 yrs & older) Distress; Human Sex Differences; Mental Health; Religious Affiliation psychological distress & well being; males vs females of Hare Krishna movementMeasured psychological distress and well-being in 132 men and 94 women of the Hare Krishna movement on a mental health inventory. The scores of Hare Krishna women did not differ significantly from those of women in the US general population. However, the scores of the men indicate a significant elevation in the stated positive feelings of the Hare Krishna men compared to the normative sample of men. (PsycINFO Database Record (c) 2003 APA )r,&Peer Reviewed Journal; Empirical Study'LECalifornia School of Professional Psychology, Los Angeles, US [Weiss]d*$Weiss, Arnold S. Mendoza, Richard H. 1990^XEffects of acculturation into the Hare Krishna movement on mental health and personality2,Journal for the Scientific Study of Religion292U173-184 JunV 0021-8294 MHI-00065Human; Adulthood (18 yrs & older) Acculturation; Cultism; Mental Health; Personality Traits; Religiosity acculturation experiences & religiosity; mental health & personality traits; adult members of Hare Krishna movementX Using the Mental Health Inventory and the Comrey Personality Scales, mental health and personality as a result of acculturation experiences in the Hare Krishna movement were studied in 132 males and 94 females with up to 18 yrs of membership. The degree of acculturation, a measure of religiosity defined by a specially developed scale, ranged widely across the sample. Personality traits were mostly invariant with acculturation, and those traits on which the Hare Krishnas differed from the norm group may be prerequisite to membership rather than being its consequences. Mental health was also largely invariable with acculturation, except that greater degrees of acculturation were associated with greater subjective well-being. (PsycINFO Database Record (c) 2003 APA )c,&Peer Reviewed Journal; Empirical Studytitutionalization statistics and numerical data$Mental Disorders rehabilitation AdojcHirdes, John P. Ikegami, Naoki Jonsson, Palmi V. Topinkova, Eva Maxwell, Colleen J. Yamauchi, Keita  2000zCross-national comparisons of antidepressant use among institutionalized older persons based on the Minimum Data Set (MDS) Canadian Journal on Aging19 Suppl2 18-37 Fal 0714-9808 RUG-00020NHHuman; Male; Female; Adulthood (18 yrs & older); Aged (65 yrs & older) Canada; Czech Republic; Iceland; Japan Antidepressant Drugs; Cross Cultural Differences; Drug Therapy; Long Term Care patterns of antidepressant use; residents (mean age 79.8 yrs) in long term care facilities in Canada vs Japan vs Iceland vs Czech Republicf_Antidepressant use was examined with 929 residents in long term care facilities in Toronto, Canada, 1,225 residents in Sapporo and Naie, Japan, 1,254 residents in Reykjavik, Iceland, and 1,162 in Prague, Czech Republic, mean age 79.8 yrs. Only in Iceland did the majority of residents with depression receive an antidepressant. Rates of depression and antidepressant use were uniformly low in Japan, and there was a great discrepancy between diagnosed depression and behavioural signs of depression in the Czech Republic. In all countries, about half the recipients of antidepressants had no clear indication of depression present. For some countries, antidepressant use was lower among residents who were female, older and more disabled. Depression is clearly under-diagnosed in the Czech Republic, but low rates of depression in Japan are somewhat more difficult to interpret. Given the widespread consensus that depression is under-detected and under treated, these results suggest that responses to depression could be improved through instruments like the Minimum Data Set. (PsycINFO Database Record (c) 2003 APA )Issue Title Special Issue: International studies of the Minimum Data Set: The InterRAI experience. Peer Reviewed Journal; Empirical Study'RKU Waterloo, Dept of Health Studies & Gerontology, Waterloo, ON, US [Hirdes]n<6Smedje, H. Broman, J. E. Hetta, J. von Knorring, A. L. 1999d^Psychometric properties of a Swedish version of the 'Strengths and Difficulties Questionnaire'.(European Child and Adolescent Psychiatry8d2d 63-70d Jun*#1018-8827 Electronic ISSN 1435-135Xd SDQ-00025*TNHuman; Male; Female; Childhood (birth-12 yrs); School Age (6-12 yrs) Sweden Adolescent Psychology; Child Psychology; Foreign Language Translation; Psychological Assessment; Social Behavior; Questionnaires Strengths and Difficulties Questionnaire; Swedish translation; mental health screening; children; adolescents; prosocial behaviorA new English instrument for screening mental health in children and adolescents, the Strengths and Difficulties Questionnaire (SDQ), was translated into Swedish and used for parental ratings of 900 children (aged 6-10 yrs). The SDQ comprises 25 items divided into 5 subscales (prosocial, hyperactivity, emotional problems, conduct problems, and peer problems) developed from the Rutter scales. An earlier English validation study showed the 2 instruments to have equal ability to identify child psychiatric cases, but the SDQ also provides screening on empathy and prosocial behavior which are aspects of child development emphasized in current child psychiatry. The design of the SDQ with both strengths and difficulties items supposedly increases acceptability of the instrument on behalf of informants and makes the questionnaire especially suitable for studies of general populations where the majority of children are healthy. The results here confirmed the postulated factor structure and showed significant gender-differences in results on the total scale, prosocial and hyperactivity subscales, and on some of the single items. The Swedish translation of the parental version of the SDQ worked well. (PsycINFO Database Record (c) 2003 APA )eF@DOI 10.1007/s007870050086 Peer Reviewed Journal; Empirical Study'&U Hospital, Dept of Neuroscience, Child & Adolescent Psychiatry, Uppsala, Sweden [Smedje, von Knorring]; U Hospital, Dept of Neuroscience, Psychiatry, Uppsala, Sweden [Broman, Hetta] Contact Individual Smedje, H, U Hospital, Dept of Neuroscience, Child & Adolescent Psychiatry, S-750, 17t("Smedje, H. Broman, J. E. Hetta, J. 2001Associations between disturbed sleep and behavioural difficulties in 635 children aged six to eight years: a study based on parents' perceptions.(European child and adolescent psychiatry101i 1-99"Eur Child Adolesc Psychiatry 1018-8827l SDQ-00040*Child Behavior Disorders diagnosis; Personality Assessment; Sleep Disorders diagnosis Affective Symptoms diagnosis; Affective Symptoms epidemiology; Affective Symptoms psychology; Child ; Child Behavior Disorders epidemiology; Child Behavior Disorders psychology; Comorbidity ; Sleep Disorders epidemiology; Sleep Disorders psychology; Sweden epidemiology Female; Human; Male; Support, Non U.S. Gov't:4Associations between sleep and behaviour in 635 children, aged six to eight years, were investigated using parental responses to a sleep habits questionnaire, and to a behavioural screening form, the Strengths and Difficulties Questionnaire (SDQ). Global reports of sleep problems in 4.9% of the children were associated with a total SDQ score indicative of behaviour problems in 36% of the cases. Conversely, 15% of children with behaviour problems had global reports of sleep problems. Associations between specific sleeping features and different dimensions of behaviour and emotions were also explored. Hyperactivity was associated with tossing and turning during sleep, and with sleep walking; conduct problems were related to bedtime resistance; and emotional symptoms were associated with night terrors, difficulty falling asleep and daytime somnolence. Peer problems were associated with somewhat shorter total sleep time. Finally, a total SDQ score indicative of behaviour problems was associated with bedwetting, nightmares, tossing and turning during sleep and sleep walking, as well as with a slightly shorter total sleep time. We conclude that sleep and behaviour problems are associated in children, and that characteristic associations exist between particular sleep disturbances and specific dimensions of behaviour. Mar EnglishnB 36 weeks postconceptional age (odds ratio 4.15; 95% confidence interval 1.43 to 12.05) and male sex (odds ratio 3.88; 95% confidence interval 1.42 to 10.6). CONCLUSION: Up to a third of children born between 32 and 35 weeks gestation may have school problems. As there are larger numbers in this gestational category compared with smaller babies, this finding has implications for educational services.n Jul Englishl'piNeonatal Unit, John Radcliffe Hospital, Headley Way, Headington, Oxford OX3 9DU, UK. huddy@doctors.org.uklM({Z VPHobbs, C. Tennant, C. Rosen, A. Newton, L. Lapsley, H. M. Tribe, K. Brown, J. E. 2000XQDeinstitutionalisation for long-term mental illness: a 2-year clinical evaluation,4.Australian & New Zealand journal of psychiatry343t 476-83Aust N Z J Psychiatry  0004-8674x LSP-00008*xrDeinstitutionalization statistics and numerical data; Mental Disorders rehabilitation Adolescent ; Adult ; Aged ; Follow Up Studies; Hospitalization ; Hospitals, Psychiatric; Length of Stay; Mental Disorders diagnosis; Middle Aged; Patient Discharge; Psychiatric Status Rating Scales; Severity of Illness Index; Socialization Female; Human; Male; Support, Non U.S. Gov't OBJECTIVE: The closure of a long-stay psychiatric hospital in Sydney caused the transfer of an initial 40 very long-term patients to four community residences, each with 10 beds, for a continuing process of deinstitutionalisation. Community psychiatric service support and 24-h supervision were provided. This paper describes the residents' clinical progress which was assessed over a 2-year period. METHOD: This study employed a quasi-experimental longitudinal design. Evaluation commenced prior to discharge and continued for 2 years following community relocation using the Brief Psychiatric Rating Scale, Life Skills Profile, Social Behaviour Scale, Montgomery Asberg Depression Rating Scale and Quality Of Life measures. Readmission, demographic, case history and medication data were also collected. RESULTS: Of the 40 patients initially transferred to the community, seven required long-term readmission to hospital (either prior to or after amalgamation) and one patient died of medical causes. Additional patients transferred from the hospital to the community following the readmissions. Three of these additional patients had achieved a 2-year community tenure during the study period and were included in the clinical evaluation. The 35 residents in total who remained in the community for 2 years, demonstrated a significant improvement in psychotic symptoms, without significant change in the level of neuroleptic medication. Importantly, the 2 years of community living resulted in a significant increase in the residents' life satisfaction. There were no statistically significant changes in residents' living skills, depressive symptoms or social behaviour problems over the 2 years, indicative of the need for supervision and community service support following deinstitutionalisation. Over the 2-year period, some 37% of the residents required temporary readmission. CONCLUSION: This study demonstrates the clinical effectiveness of deinstitutionalisation, when planned within a mental health system with adequate community resources. Jun Englishf`Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=ANP&vol=34&page=476&goto=abstract'Department of Psychological Medicine, Royal North Shore Hospital, St Leonards, New South Wales, Australia. chob9793@mail.usyd.edu.auPJHobbs, Coletta Newton, Lesley Tennant, Christopher Rosen, Alan Tribe, Kate 2002PJDeinstitutionalization for long-term mental illness: a six-year evaluation4.Australian & New Zealand Journal of Psychiatry361 60-66 Feba 0004-8674e LSP-00009*Human; Male; Female Australia Adjustment; Chronicity (Disorders); Deinstitutionalization; Mental Disorders deinstitutionalization; long-term mental illness; community transition; outcomesB<47 Ss with long-term mental illness were transferred to the community following closure of a psychiatric hospital in Sydney. This 6-yr evaluation is an extension of a detailed clinical, ethnographic and economic study of the initial 2-yrs of community transition. Quantitative evaluation was conducted using the Brief Psychiatric Rating Scale, Life Skills Profile, Social Behaviour Scale, Montgomery Asberg Depression Rating Scale and Quality of Life measures. Assessments were completed prior to discharge and at 2- and 6-yr intervals following community transfer. Repeated measures analysis was utilized to determine changes in outcome variables over time. The Ss' perception of 6-yrs of community living was explored in semistructured interviews. Details of accommodation, level of care, readmissions, incidents and medication were also documented. Results indicate that during the 6 yrs following community relocation a total of 7 Ss returned to hospital for long-term care, 3 Ss died from medical causes and 1 Ss required detention in a corrective services facility. The 36 Ss who remained in the community at the 6-yr follow-up no longer required intensive 24-hr supervision. Living semi-independently, 23 Ss resided in 2-3 person accommodation with either daily or weekly case manager visits. (PsycINFO Database Record (c) 2003 APA )RKDOI 10.1046/j.1440-1614.2002.00984.x Peer Reviewed Journal; Empirical Studye'~wU Sydney, Dept of Psychological Medicine, St Leonards, NSW, Australia [Hobbs, Newton, Tennant, Tribe]; Royal North Shore Hosp, Chatswood, Australia [Rosen] Email Address [mailto:chob9793@mail.usyd.edu.au] Contact Individual Hobbs, Coletta, U Sydney, Dept of Psychological Medicine, Royal North Shore Hosp, St Leonards, NSW, Australia, 2065, [mailto:chob9793@mail.usyd.edu.au]Hodges, Kay Gust, Jean 1995:3Measures of impairment for children and adolescents.'Journal of Mental Health Administratione2242403-413f Falr 0092-8623o CGA-00083Human; Childhood (birth-12 yrs); Adolescence (13-17 yrs) Affective Disorders; Behavior Disorders; Measurement measurement of impairment in functioning; children & adolescents with emotional or behavioral disordersNGSurveyed the degree of impairment in children and adolescents due to emotional or behavioral disorders, to identify impairment measures that were used on a statewide basis. State representatives to the State Mental Health Representatives for Children and Youth organization responded via written reply and materials they thought might be relevant. Results show 5 measures to be consistently used, 3 global and 2 multidimensional measures: Carter-Newman Level of Functioning Scale, Children's Global Assessment Scale, Axis V, Colorado Client Assessment Record, and Child and Adolescent Functional Assessment Scale. Each measure has been evaluated according to 5 criteria. The state mental health systems need to be an integral part of efforts to develop adequate measures of impairment for children. (PsycINFO Database Record (c) 2003 APA )Peer Reviewed Journal'<6Michigan U, Dept of Psychology, Ypsilanti, US [Hodges]f_Hodges, Barwick et al., Hodges et al., Loseth et al., Timmons-Mitchell et al. & Vernberg et al.p 2003Assessment Systems|vUsing the CAFAS to Promote and Evaluate Evidence-Based Interventions and Implement Systems of Care for Youth With SED. FloridaA USA-FL-00001*l,Male2,Madden, S. J. Hastings, R. P. V'Ant Hoff, W. 2002rkPsychological adjustment in children with end stage renal disease: the impact of maternal stress and coping("Child care, health and development284 323-30Child Care Health Dev 0305-1862 SDQ-00014*Adaptation, Psychological; Caregivers psychology; Disabled Children psychology; Kidney Failure, Chronic psychology; Mothers psychology; Stress, Psychological Adult ; Child ; Great Britain; Hospitals, Pediatric; Mental Health; Mother Child Relations; Questionnaires Female; HumanOBJECTIVE: To explore maternal and child perspectives on children's adjustment in the context of paediatric renal disease, and maternal psychological variables that may account for variance in child and maternal ratings. METHODS: Forty-three children with end stage renal disease and their maternal caregivers completed the Strengths and Difficulties Questionnaire (SDQ). Mothers also reported on their own mental health, and the strategies they used to cope with their child's illness.The severity of the child's condition was rated independently by a renal clinician. RESULTS: Compared with normative data for the SDQ mothers reported their children to be at increased risk of psychological problems. However, the children themselves reported no more problems than a normative sample. Mothers' coping and mental health explained some of the variance in their ratings of the child's adjustment but were not predictive of the children's self-ratings. CONCLUSIONS: The results suggest that maternal factors may not explain the variability in children's adjustment to chronic illness, perhaps especially within the age range studied here. Practical implications of the data are also discussed. In particular, a systemic approach to paediatric liaison by psychologists is emphasized. Jul English7f`Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=CCH&vol=28&page=323&goto=abstract'b\Department of Psychological Medicine, Great Ormond Street Hospital for Children, London, UK.B0d Attitudes*Mental Disorders *Mental Illness (Attitudes Toward)Srinivasan, T. 1987ZTA study of mental health of the adolescents in relation to geographical environments Child Psychiatry Quarterly202y 55-60Apr-Jun 0009-3998 MHI-00069Human; Adolescence (13-17 yrs); Adulthood (18 yrs & older) Mental Health; Rural Environments; Urban Environments rural vs urban environment; mental health; 17-18 yr old students; India6/45 male and 30 female 17-18 yr old students (38 from a rural area and 37 from an urban area) completed a mental health inventory and an environmental checklist. Ss were then divided into 3 groups on the basis of their mental health (low, moderate, high), and the results were analyzed. Data show that mentally healthy Ss prefer specific environmental factors, and it was concluded that these factors may contribute to mental health. No differences were noted between Ss from rural and urban areas or between the sexes. (PsycINFO Database Record (c) 2003 APA )Journal; Empirical Study':4Government Arts Coll, Coimbatore, India [Srinivasan]of Daily LivingAdaptation, Psychological*#Phillips, Derek L. Clancy, Kevin J.a 197082Response biases in field studies of mental illness(!American Sociological Review. Voli353l503-515u 0003-1224 MHI-00003*Human Experimenter Bias; Inventories; Mental Disorders; Personality Traits; Response Bias; Social Approval response bias in mental illness field studies; social desirability & acquiescenceDiscusses the possible influence of 2 response biases which may affect the validity of social science measures, i.e., social desirability and acquiescence, and reports the results of a pilot study concerning a psychiatric inventory used by several investigators. Analysis of data reveals that people's evaluation as to the "social desirability" of the inventory items is related both to their position in the status hierarchy and to their reports as to whether or not they have experienced the various symptoms constituting the inventory. Thus, the relationship between socioeconomic position and mental health is affected by people's evaluations as to the desirability of mental health inventory items. However, the findings also confirm that the existence of a relationship between socioeconomic position and disorder is not just a result of the hypothesized distortions arising from a response bias. (38 ref.) (PsycINFO Database Record (c) 2003 APA )hPeer Reviewed Journale'New York U [Phillips]pHAPinfold, V. Bindman, J. Thornicroft, G. Franklin, D. Hatfield, B. 2001nhPersuading the persuadable: Evaluating compulsory treatment in England using supervised discharge orders2,Social Psychiatry & Psychiatric Epidemiology365k260-266r2001-03273-007 HON-00076*HA*Discharge Planning; *Treatment Compliance; Psychiatric HospitalscSupervised Discharge Orders (SDOs) were introduced in 1995, as an amendment to the Mental Health Act in England and Wales. They require patients to abide by specific conditions on discharge from hospital, but can not enforce medication compliance. The purpose of this study was to describe the use of SDOs in England and the characteristics of patients made subject to these orders, and to evaluate the effectiveness of the order in securing treatment compliance on discharge from hospital. A survey was conducted of 170 mental health provider Trusts in England. Interviews with senior managers in 12 Trusts and associated Local Authorities were subjected to qualitative analysis, and a cohort of patients subject to SDOs in 56 randomly sampled Trusts was described. SDOs were being used for 596 patients (1.2 per 100,000 total population) at the survey date in 1999, and use had been increasing steadily since its introduction. The order is not systematically considered for all potential cases. The majority of the 182 patients in the cohort had complied, if sometimes intermittently, with conditions of the order. For patients compliant with SDOs, the pressures necessary to treat effectively need not involve powers to enforce medication compliance. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.springer.deqla surgery Maxillary Neoplasms surgeryleChinese students' self-concept: Structure, frame of reference, and relation with academic achievementtKong, Chit-Kwong >7Chinese U Hong Kong (People'S Republic Of China), Chinao The school effects on students' academic self-concept and achievement were evaluated in a large-scale longitudinal study of Chinese secondary students in Hong Kong (7997 students, 44 high schools, 4 years). Consistent with prior "Big-Fish-Little-Pond-Effect" (BFLPE) research on academic self-concept, this study showed that attending schools of high school-average ability led to initially lower academic self-concept and a further decline over time. Unlike previous research on ability grouping and school-sector effects, attending schools of high school-average ability did not result in an extra gain in academic achievement beyond that could be expected from students' prior advantages in academic ability. The present study extended previous BFLPE research by including a measure of perceived school status to tap the potentially positive effects on academic self-concept in attending high-ability schools. Consistent with the a priori prediction, perceived school status was positively related to the school-average achievement and had positive effects on subsequent students' academic self-concept (reflected glory assimilation effects). Also in line with the theoretical hypotheses, when the perceived school status was controlled, the negative social comparison contrast effects on academic self-concept in attending high-ability schools became even more negative. These results have provided a strong empirical support for the argument that BFLPE is a net effect of counterbalancing positive reflected glory effects and negative social comparison effects. Students in high-ability schools are facing a more demanding comparison from classmates. But they are also enjoying the pride for being members in these prestigious schools. This study examined the internal/external frame of reference effects (I/E model) on subject-specific self-concept in students' native language (Chinese), non-native language (English), and mathematics. Consistent with the predictions of the I/E model, Chinese language academic achievement had strong and positive effects on subsequent Chinese language self-concept, but weak and negative effects on mathematics and English language self-concepts. Similar patterns of results were found in the relations between mathematics and English language achievement with various subject-specific self-concepts. Furthermore, analysis showed that Chinese and English language self-concepts were distinguishable and separable. The results provided strong support for the I/E model and the juxtaposition of self-concepts in native and nonnative languages. Using structural equation and multilevel modeling, this study provided strong support for the reciprocal causal effects between academic self-concept and achievement. Furthermore, the size of effects of academic self-concept on subsequent academic achievement was not affected by the school average ability and the effect did not vary from one school to the other. The validity of a Chinese version of a widely used self-concept instrument (SDQ-II) was evaluated by confirmatory factor analysis, multitrait-multitime analysis and factorial invariance analysis. The psychometric properties of the Chinese instrument were found to be as strong or even stronger than those of the original Australian (English) version. This, along with support for findings based on Western settings, provides very strong support for the cross-cultural validity of responses to the Chinese version of the SDQ-II. (PsycINFO Database Record (c) 2003 APA )h 2000 Availability UMI Dissertation Order Number AAI9964835 Dissertation Abstracts International Section A: Humanities & Social Sciences. Vol 61(3-A), Sep 2000, pp. 880 Publisher US: Univ Microfilms International Dissertation Abstract; Empirical Study; Longitudinal StudyEHuman; Adolescence (13-17 yrs) Hong Kong Academic Achievement; Academic Self Concept; School Environment; High School Students school characteristics; academic self-concept & achievement; high school students; 4 yr study; Hong Kongl Address [mailto:lsp@medecine.univ-mrs.fr] Contact Individual Auquier, P, Service de Sante Publique, Faculte de Medecine 27, bd J. Moulin-13385, Marseilles, France, Cedex 5, [mailto:lsp@medecine.univ-mrs.fr] "Australian Health Ministers, 1992"National Mental Health Plang Canberra .(Australian Government Publishing Service $Australian Health Ministers.,d>8Second National Mental Health Plan, Mental Health Branch HACommonwealth Department of Health and Family Services, July 1998. July 1998hAUS-COM-00008*,&http://www.health.gov.au/hsdd/mentalhe $Australian Health Ministers.,l,%National Mental Health Plan 20032008 ,&Canberra: Australian Government, 2003.AUS-COM-00007*www.mentalhealth.gov.au @9Australian Institute for Suicide Research and Prevention,A 2003RKInternational Suicide Rates Recent Trends and Implications for Australia. F@Australian Government Department of Health and Ageing, Canberra.AUS-COM-00010* j 81Clinical significance of type of mood disturbanceyGuttman, Diane Adlestein U MiamiThis study examined the various types of mood disturbances (depressed mood, irritable mood, or anhedonia) exhibited by 60 children and adolescents receiving diagnoses for Major Depressive Disorder (MDD) in the DSM-IV field trials. There were two main goals of this study: (1) to determine the extent of the heterogeneity in the types of mood disturbances expressed in children and adolescents receiving diagnoses of MDD, and (2) to determine the clinical significance of the presence or absence of the various types of mood disturbances. This second goal was accomplished by examining the relationship between the various types of mood disturbances and numerous other variables, such as age, suicidal ideation, suicidal behavior, and degree of psychiatric disturbance as measured by the Children's Global Assessment Scale (CGAS). Further analyses were conducted examining gender and comorbidity. In addition, all analyses were conducted using the whole field trials sample (N = 440) as well in order to determine if the findings could be replicated in a general psychiatric sample. Contrary to what was expected, subjects receiving diagnoses of MDD were found to be fairly homogeneous with respect to mood disturbance in that the most typical presentation involved all three types of disturbances of mood. Other major findings were as follows: (1) subjects who presented with anhedonia received interviewer-generated CGAS scores indicating greater levels of functional impairment than others within the MDD category, and (2) subjects who presented with irritability were found to be significantly older than others with MDD. Both of these findings were replicated in the whole field trials sample as well. (PsycINFO Database Record (c) 2003 APA ) 1995Availability UMI Dissertation Order Number AAM9500236 Dissertation Abstracts International: Section B: The Sciences & Engineering. Vol 55(8-B), Feb 1995, pp. 3588 Publisher US: Univ Microfilms International Dissertation Abstract; Empirical StudyaHuman; Male; Female; Childhood (birth-12 yrs); Adolescence (13-17 yrs) Affective Disorders; Anhedonia; Irritability; Major Depression; Age Differences; Attempted Suicide; Comorbidity; Suicidal Ideation depression vs irritability vs anhedonia & age & suicidal ideation & suicidal behavior & psychiatric disturbance & sex & comorbidity; children & adolescents with Major Depressive DisorderHBGuzder, Jaswant Paris, Joel Zelkowitz, Phyllis Marchessault, Keith 199682Risk factors for borderline psychology in childrenF@Journal of the American Academy of Child & Adolescent Psychiatry351 26-33 Jan 0890-8567 CGA-00038*Human; Male; Female; Childhood (birth-12 yrs); School Age (6-12 yrs) Us At Risk Populations; Borderline States risk factors; 7-12 yr olds with borderline personality disorderExamined risk factors associated with borderline pathology in 98 children (aged 7-12 yrs) assessed for day treatment. Ss were identified using the Child Diagnostic Interview for Borderlines, which divided the sample into borderline (n = 41) and nonborderline (n = 57) groups. Functional levels were assessed by Children's Global Assessment Scale scores. Results indicate that both groups demonstrated severe functional impairment. The risk factors that differentiated the borderline group were sexual abuse, physical abuse, severe neglect, and parental substance abuse or criminality. Sexual abuse and severe neglect were significant in multivariate analysis. Cumulative abuse and cumulative parental dysfunction scores were both higher in the borderline group. The findings indicate that the risk factors in borderline children are similar to those found in adults. (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study'ngSir Mortimer B. Davis-Jewish General Hosp, Dept of Psychiarty, Child Day Treatment Ctr, Canada [Guzder]ZTHabibis, Daphne Schneider, Rosemary Hazelton, Michael Bowling, Alison Davidson, John 2002XQPsychiatric and social outcomes of a rural district general hospital in the 1990sg4.International Journal of Mental Health Nursing113s154-163i Sepn*#1445-8330 Electronic ISSN 1440-0979t LSP-00017*Human; Male; Female; Inpatient; Adulthood (18 yrs & older); Young Adulthood (18-29 yrs); Thirties (30-39 yrs); Middle Age (40-64 yrs); Aged (65 yrs & older) Australia Bipolar Disorder; Psychiatric Units; Rural Environments; Schizophrenia; Treatment Outcomes; Hospitals district general hospital; psychiatric unit; treatment outcomes; rural hospital; psychiatric outcomes; social outcomes; patient satisfaction; schizophrenia; bipolar disordern"Examined the psychiatric and social outcomes of treatment by the psychiatric unit of a district general hospital in a semirural region of Australia. The study is a naturalistic investigation of a routine clinical service, and utilizes a longitudinal panel design. Repeat interviews at admission, 1 mo and 1 year later were conducted with 57 consenting respondents (aged 18-65 yrs) with a diagnosis of schizophrenia, bipolar disorder or related condition, as well as with their nominated relatives. Patients showed significant improvements on clinical measures and a high rate of continuation of medication. Most measures of social functioning showed improvement although few were statistically significant. Patient and relative satisfaction was high. Relative worry showed significant improvement in the first month. There was a high rate of readmission (31 patients) and mean days in hospital were also high at 43 days. These data suggest that basic district general hospital care, operating under both budgetary restrictions and the difficulties associated with recruiting staff can nonetheless provide a credible service. However, results fall short of what can be achieved when services are adequately funded and more specifically targeted to meet patient needs. (PsycINFO Database Record (c) 2003 APA )RKDOI 10.1046/j.1440-0979.2002.00242.x Peer Reviewed Journal; Empirical Study'~xU Tasmania, School of Sociology & Social Work, TAS, Australia [Habibis]; Launceston General Hosp, Dept of Health & Human Services, Mental Health Services, Launceston, TAS, Australia [Schneider]; U Newcastle & Hunter Mental Health, School of Nursing & Midwifery, Callaghan, NSW, Australia [Hazelton]; U Tasmania, School of Psychology, Hobart, TAS, Australia [Bowling, Davidson] Email Address [mailto:Michael.Hazelton@newcastle.edu.au] Contact Individual Hazelton, Michael, School of Nursing & Midwifery, U Newcastle & Hunter Mental Health, University Drive, Callaghan, NSW, Australia, 2308, [mailto:Michael.Hazelton@newcastle.edu.au]ZVd>8Brown, GS Burlingame, GM Lambert, MJ Jones, E Vaccaro, J 2001D>Pushing the quality envelope: a new outcomes management systemPsychiatric Services52925-934l OUT-MH-00041*^This article is based on the authors experience in designing and implementing outcomes management systems for large managed care organizations. Topics addressed include design of instruments, use of cost-effective technology, development of computerized decision-support tools, and methods for case-mix adjustment. The case-mix-adjustment models are based on a data repository of several thousand treatment cases with multiple measurement points across the course of treatment. Data from controlled and field studies are described. These data suggest that the outcomes management methods outlined in this article can result in significantly improved clinical outcomes and a more rational allocation of behavioral health care resources..(Brown, Fiona Shiels, Mary Hall, Caroline 2001:4A pilot community living skills group: An evaluation.'British Journal of Occupational Therapy643144-150 MarZ 0308-0226Z LSP-00043[Human; Male; Female; Outpatient; Adulthood (18 yrs & older); Thirties (30-39 yrs); Middle Age (40-64 yrs) Mental Disorders; Mental Health Program Evaluation; Psychosocial Rehabilitation; Self Care Skills mental health needs; community living skills group; home management; community living; personal care; safety; social functioning; interpersonal functioning; pilot program; program evaluation This article presents the findings of a 12-wk pilot community living skills (CLS) group for 5 adults with enduring mental health needs. The group was established to promote skills for home management, community living, personal care and safety, and social and interpersonal functioning. The Canadian Occupational Performance Measure (COPM) and a client satisfaction questionnaire were used as measurement tools. A follow-up home visit was carried out by therapists to further gauge the skill transfer from group to home environment. In the tasks identified according to the COPM pre-group and post-group, performance and satisfaction scores were improved slightly. The questionnaire results indicated high levels of client satisfaction. The topics rated as most helpful were of a practical nature and those enjoyed less were of a discursive nature. The post-group home visits demonstrated an improvement in the majority of group members in effective task management within the home. The implications for future occupational therapy and research are considered on the basis of the findings. These demonstrate that a basic form of evaluation can be used effectively to promote good clinical practice and, on this occasion, the need for future CLS groups. (PsycINFO Database Record (c) 2003 APA )@:Peer Reviewed Journal; Empirical Study; Program Evaluation'Ayrshire Central Hosp, South Cunninghame Community Mental Health Team, Ayshire & Arran Primary Care NHS Trust, Irvine, United Kingdom [Brown]  Brown, J.r 2002NGOutcome-based Measures for Mental Health : Lessons from the Real World.l|vThe 2002 National Summit on Performance Measurement and Case Management for Mental Health and Substance Abuse Programs Washington, DC &Centre for Clinical InformaticsUSA-CCI-00002*"www.clinical-informatics.com_ |d]The relationship of belief systems and environmental structure to the mental health of adults D'Onofrio, Amelio Anthony  Fordham UThe purpose of this study was to investigate the relationship of differential belief systems functioning and varying degrees of environmental structure to the mental health of adults. Conceptual Systems Theory, as originally presented by Harvey, Hunt, and Schroder (1961) and as subsequently articulated by Gore (1985), served as the theoretical rationale for this study. All hypotheses were derived in a manner consistent with the investigator's interpretation of this theory. The sample consisted of 168 adults selected from different occupational settings categorized according to Holland's (1966) occupational themes. Each participant was given the Belief Systems Questionnaire, the Life Experiences Survey, the Environment Structure Scale, and the Mental Health Inventory-18. Participants were divided into groups according to their predominant belief system and then, further subdivided into two groups of high and low environmental structure with the median score distinguishing the membership. Two sets of hypotheses were tested in this study. The first set examined a matching model of mental health based on Lewin's (1935) B = f(P * E) equation. The second set was designed to examine the assumption that higher belief system functioning is a more powerful predictor of mental health than lower system functioning. No interaction effect was obtained in the analysis of the data. However, main effects for both belief system and environmental structure were obtained. The most salient results of the investigation indicated that environmental structure was a more powerful predictor of mental health than belief systems functioning. Regardless of an individual's belief system, those who reported work and home environments to be highly structured also reported experiencing a significantly greater number of negative life events and lower levels of mental health than individuals in environments of low structural complexity. Several conceptual and methodological issues were discussed (PsycINFO Database Record (c) 2003 APA ) 1996Availability UMI Dissertation Order Number AAM9543452 Dissertation Abstracts International Section A: Humanities & Social Sciences. Vol 56(8-A), Feb 1996, pp. 3001 Publisher US: Univ Microfilms International Dissertation Abstract; Empirical StudyHuman; Adulthood (18 yrs & older) Attitudes; Environmental Attitudes; Mental Health; Procedural Knowledge; Religious Beliefs differential belief systems functioning & degrees of environmental structure; mental health; adultspiDaly, Daniel L. Schmidt, M. Diane Spellman, Douglas F. Criste, Thomas R. Dinges, Katherine Teare, John F.r 1998d]The Boys Town Residential Treatment Center: Treatment implementation and preliminary outcomestChild & Youth Care Forum274y267-279e Aug  1053-1890u CGA-00008*>8Human; Male; Female; Childhood (birth-12 yrs); Adolescence (13-17 yrs) Us Mental Health Program Evaluation; Mental Health Services; Program Development; At Risk Populations; Models treatment implementation & preliminary outcomes of Boys Town Psycho-Educational Model; youth (mean age 13 yrs); longitudinal studyA well specified residential treatment model is described, and preliminary outcome data are presented. The Boys Town Psycho-Educational Model (PEM) empowers direct care staff to be important treatment agents by training them to use systematic teaching techniques. Data obtained on male and female youth (mean age 13 yrs) served at the center since its inception in December 1995 indicate that the youth have had multiple prior placements and serious psychiatric disorders. The model sustains an active and positive treatment environment as documented by high levels of focused treatment occurring during the youth's stays. To date, 94% of the youth have departed to placements that were equal to, or less restrictive than, their placements at admission to the program. Of those who had Children's Global Assessment Scale ratings both at admission and at discharge, 21 (84%) of the youth had better functioning at discharge. (PsycINFO Database Record (c) 2003 APA )\VDoi 10.1023/a:1022375720221 Peer Reviewed Journal; Empirical Study; Longitudinal Study'<5Father Flanagan's Boys Home, Boys Town, NE, US [Daly] <6Dane, Andrew V. Schachar, Russell J. Tannock, Rosemary 2000RKDoes actigraphy differentiate ADHD subtypes in a clinical research setting?F@Journal of the American Academy of Child & Adolescent Psychiatry396752-760 Jun 0890-8567 CGA-00045*Activity Level; Attention Deficit Disorder; Hyperkinesis actigraphy; 7-12 yr olds with predominately inattentive vs combined types of ADHDhbCompared subtypes of attention deficit hyperactivity disorder (ADHD) (predominantly inattentive and combined types) and a comparison group on an objective measure of activity level (actigraphy). Actigraphs were worn by 64 7-12 yr old children (49 boys, 15 girls) during a full-day clinical diagnostic assessment; 20 subjects had a diagnosis of ADHD predominantly inattentive type, 22 had ADHD combined type, and 22 were non-ADHD controls. Mean actigraph scores were calculated for two 2-hr intervals, comprising, respectively, a psychometric evaluation in the morning and the completion of a speech and language assessment and research measures in the afternoon. There were no significant group differences in activity level in the morning session. During the afternoon session, children with ADHD were significantly more active than controls, but there were no differences between ADHD subtypes. These data partially support specifications in the Mental Disorders-IV (DSM-IV) regarding hyperactivity in ADHD; however, they also indicate that situational and/or temporal factors may affect the degree to which hyperactivity is expressed. Furthermore, the findings contradict specifications in the DSM-IV that suggest that children with ADHD combined type should be more hyperactive than children with ADHD predominantly inattentive type. (PsycINFO Database Record (c) 2003 APA )Peer Reviewed Journal'piHosp for Sick Children, Dept of Psychiatry, Brain & Behavior Research Program, Toronto, ON, Canada [Dane]chool Age (6-12 yrs); Adolescence (13-17 yrs) Asthma; Child Neglect; Family Relations; Hospitalization; At Risk Populations neglect & family dysfunction; hospitalization; asthmatic children assessed by pediatric psychosocial personnelClinical experience demonstrates that many chronically ill children have an unstable course of illness ending in tertiary care because they come from dysfunctional and neglectful households. Families frequently cannot or will not adapt to the demands of their chronically ill child. Data from a questionnaire completed by pediatric psychosocial personnel substantiated the extent to which neglect and family dysfunction have contributed to the need for hospitalization of asthmatic children. Neglect accelerated the cycle of morbidity and stress associated with illness. Using data from the Children's Global Assessment Scale (D. Shaffer et al, 1983), a psychologic morbidity associated with medical neglect was found. Children at imminent risk in their home environment and the process of seeking alternative placements are discussed. (French & Spanish abstracts) (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study Bradley, V., & Taub, S.n 2003JDComparing Apples to Apples: Use of Common Tools to Rebalance Systems (!Human Services Research InstituteUSA-HSR-00002* Bradley, V., & Taub, S.S YearD>National Core Indicators. Update on National Permance Measures (!Human Services Research InstitutetUSA-HSR-00001*8Male@:Hilsenroth, Mark J. Ackerman, Steven J. Blagys, Matthew D. 2001XREvaluating the phase model of change during short-term psychodynamic psychotherapyPsychotherapy Research111 29-47 Spr2001-17036-002 MIS-00004*{*Brief Psychotherapy; *Distress; *Psychiatric Symptoms; *Treatment Outcomes; *Well Being; Interpersonal Interaction; ModelsfVOExamined the phase model of psychotherapy change and assessed the domains of subjective well-being, symptomatic distress, and social/interpersonal functioning during short-term psychodynamic psychotherapy. These 3 domains were examined for both statistical and clinically significant change. Specifically examined were evaluation/3rd-session to 9th-session changes in a group of 20 treated patients. Treatment fidelity and credibility were also evaluated. Statistical and clinically significant improvement in the domains of subjective well-being and symptom distress were evident by the 9th session of short-term dynamic psychotherapy. Statistical and reliable improvement were observed in relational functioning during the same time period. In addition, changes in both subjective well-being and symptomatic distress contributed unique and separate variance to predicting changes in social/interpersonal functioning. The results are discussed with respect to the differential effects predicted by the phase model of change during the early course of treatment. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.oup.com(d]Newcomer, Robert Swan, James Karon, Sara Bigelow, Wayne Harrington, Charlene Zimmerman, Davidt 2001ZTResidential care supply and cognitive and physical problem case mix in nursing homes Journal of Aging & HealthY132Z217-247 May 0898-2643 RUG-00018& Human; Adulthood (18 yrs & older); Aged (65 yrs & older) Us Client Characteristics; Geriatric Patients; Health Care Delivery; Long Term Care; Nursing Homes; Health Care Policy residential care facility supply; US states; nursing facility residents; case mix; nursing homes; state policiesLEExamined the association between residential care supply and the proportion of cognitively and physically impaired nursing facility residents in more than 1,500 facilities in 5 states. Administrative data was used to assess the potential influence of market area conditions on nursing-home occupancy and the case mix among both continuing and admissions nursing facility residents. Results show that the proportion of nursing-home cases with only physical and cognitive impairment likely to be affected by emerging long-term care policy appears to be well under 10%. This effect is more persistent among admissions than continuing cases. The findings are seen to raise caution about the optimistic assumptions of the interplay between residential care/assisted living policy and nursing-home use. (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study'XQU California, San Francisco, CA, US [Newcomer, Harrington]; Wichita State U, Wichita, KS, US [Swan]; U Wisconsin, Madison, WI, US [Karon, Bigelow, Zimmerman] Contact Individual Newcomer, Robert, U California, Dept of Social & Behavioral Sciences, 3333California Street, Suite 455, San Francisco, CA, US, 94118, [mailto:rjn@itsa.ucsf.edu]rb4 XBrowne, G. Courtney, M. 2004B 65 years) psychiatric patients resident in psychogeriatric wards of a psychiatric hospital were compared with 23 longstay, elderly patients and 40 longstay patients aged 50-65 years, both resident in the wards of a specialist hospital for learning disabilities. The instrument used was the Health of the Nation Outcome Scales (HoNOS). RESULT: On the HoNOS, the elderly psychiatric patients scored significantly higher for problems with mood, relationships and occupation/activities. There were no significant differences for any of the scales rated between the 50-65 and > 65 years old patients with learning disabilities. CONCLUSION: The similarities between the three groups of patients would suggest that for some patients the same services may be utilized. This could reduce the cost of the care in the community and entail more economical use of the facilities and staff. The HoNOS proved to be a concise and simple instrument, which could become a useful tool in monitoring the outcome of healthcare in longstay patients.0885-6230 Englishn'BColarado Department of Human Services, Mental Health Services, 2002`YPopulation in Need of Mental Health Services And Public Agencies Service Use in Coloradof USA-CO-00010* ,&Colarado Department of Human Services, 2004(!Summary of Client Characteristicst HAColorado Community Mental Health Centers, Clinics, and Institutes USA-CO-00007~s Kessler, Ronald C. Barker, Peggy R. Colpe, Lisa J. Epstein, Joan F. Gfroerer, Joseph C. Hiripi, Eva Howes, Mary J. Normand, Sharon-Lise T. Manderscheid, Ronald W. Walters, Ellen E. Zaslavsky, Alan M. 2003D>Screening for serious mental illness in the general population$Archives of General Psychiatry602184-189 Feb 0003-990X KES-00001*Human; Adulthood (18 yrs & older) Us Epidemiology; Mental Disorders; Screening; Severity (Disorders) serious mental illness; screening scales; prevalence; adultso@:Public Law 102-321 established a block grant for adults with "serious mental illness" (SMI) and required the Substance Abuse and Mental Health Services Administration (SAMHSA) to develop a method to estimate the prevalence of SMI. Three SMI screening scales were developed for possible use in the SAMHSA National Household Survey on Drug Abuse: the Composite International Diagnostic Interview Short-Form (CIDI-SF) scale, the K10/K6 nonspecific distress scales, and the World Health Organization Disability Assessment Schedule (WHO-DAS). A convenience sample of 155 Ss was administered all screening scales followed by the 12-mo Structured Clinical Interview for DSM-IV and the Global Assessment of Functioning (GAF). SMI was defined as any 12-mo DSM-IV disorder, other than a substance use disorder, with a GAF score of less than 60. All screening scales were significantly related to SMI. However, neither the CIDI-SF nor the WHO-DAS improved prediction significantly over the K10 or K6 scales. The area under the receiver operating characteristic curve of SMI was 0.854 for K10 and 0.865 for K6. The most efficient screening scale, K6, had a sensitivity of 0.36 and a specificity of 0.96 in predicting SMI. The brevity and accuracy of the K6 and K10 scales make them attractive screens for SMI. (PsycINFO Database Record (c) 2003 APA )JDDOI 10.1001/archpsyc.60.2.184 Peer Reviewed Journal; Empirical Study'Harvard Medical School, Dept of Health Care Policy, Boston, MA, US [Kessler, Hiripi, Howes, Normand, Walters, Zaslavsky]; Substance Abuse & Mental Health Services Administration, Office of Applied Studies, Rockville, MD, US [Barker, Epstein, Gfroerer]; National Inst of Mental Health, Div of Menal Disorders, Behavioral Research, & AIDS, Bethesda, MD, US [Colpe]; Substance Abuse & Mental Health Services Administration, Div of State & Community Systems Development, Rockville, MD, US [Manderscheid] Email Address [mailto:kessler@hcp.med.harvard.edu] Contact Individual Kessler, Ronald C, Dept of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Suite 215, Boston, MA, US, 02115, [mailto:kessler@hcp.med.harvard.edu]TrZYb[Gowers, S. G. Harrington, R. C. Whitton, A. Beevor, A. Lelliott, P. Jezzard, R. Wing, J. K.d 1999rlHealth of the Nation Outcome Scales for Children and Adolescents (HoNOSCA). Glossary for HoNOSCA score sheet$British Journal of Psychiatry 174 428-31 May10616610 HCA-00005**Health Status Indicators; *Mental Disorders; *Psychiatric Status Rating Scales standards; *Terminology Adolescent ; Adolescent Health Services; Child ; Child Health Services; Great Britain standards0007-1250 English'leUniversity of Liverpool, Section of Adolescent Psychiatry, Pine Lodge Young People's Centre, Chester.^XGowers, S. G. Harrington, R. C. Whitton, A. Lelliott, P. Beevor, A. Wing, J. Jezzard, R. 1999Brief scale for measuring the outcomes of emotional and behavioural disorders in children. Health of the Nation Outcome Scales for children and Adolescents (HoNOSCA) $British Journal of Psychiatry 174 413-6 May10616607 HCA-00004*&*Child Behavior Disorders therapy; *Health Status Indicators; *Mood Disorders therapy; *Psychiatric Status Rating Scales standards Child ; Child, Preschool; Great Britain; Health Status; Mental Health Services standards; Observer Variation; Sensitivity and Specificity therapy; standardsBACKGROUND: Following the development of a child and adolescent version of the Health of the Nation Outcome Scales (HoNOSCA), field trials were conducted to assess their feasibility and acceptability in routine outcome measurement. AIMS: To evaluate the reliability, validity and acceptability of HoNOSCA in routine outcome measurement. METHOD: Following training, 36 field sites provided ratings on 1276 cases at one time point and outcome data on 906. Acceptability was assessed by way of written feedback and at a debriefing meeting. RESULTS: HoNOSCA demonstrated satisfactory reliability and validity characteristics. It was sensitive to change and its ability to measure change accorded with the clinicians' independent rating. HoNOSCA was reasonably acceptable to clinicians' from a range of disciplines and services. CONCLUSIONS: Provided that training needs can be met, HoNOSCA represents a satisfactory brief outcome measure which could be used routinely in child and adolescent mental health services.,%0007-1250 English ; Multicenter-Study'VOUniversity of Liverpool, Section of Adolescent Psychiatry, Pine Lodge, Chester.rHBGowers, Simon Bailey-Rogers, Sarah J. Shore, Alison Levine, Warren 2000^XThe Health of the Nation Outcome Scales for Child and Adolescent Mental Health (HoNOSCA),&Child Psychology and Psychiatry Review52 50-562000-07837-001 HCA-00010**Mental Health Services; *Rating Scales; *Test Construction; *Treatment Outcomes; Adolescent Psychiatry; Child Psychiatry; Test Reliability; Test Validity~xThe child and adolescent version of the Health of the Nation Outcome Scales (HoNOSCA) represents the first attempt at a routine outcome measure for Child and Adolescent Mental Health Services in the UK. This article reviews the development of the HoNOSCA. Extensive field trials suggest that the scales are acceptable to clinicians from the various disciplines working in this area and are also valid and reliable. A growing number of services are now using the scales in audit and research, supported by the national HoNOSCA base that provides training and coordinates further developments. (PsycINFO Database Record (c) 2003 APA )English("http://www.blackwellpublishing.compGoodman, RobertL 1997D=The Strengths and Difficulties Questionnaire: A research note-HAJournal of Child Psychology and Psychiatry and Allied Disciplinesz385i581-586i Jul} 0021-9630H SDQ-00058nhHuman; Male; Female; Childhood (birth-12 yrs); Preschool Age (2-5 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs); Adulthood (18 yrs & older) Behavioral Assessment; Content Analysis; Questionnaires; Test Validity correlation of beahvioral screening Strengths & Difficulties vs Rutter parent & teacher questionnaire; 4-16 yr olds & their parents & teachersA novel behavioral screening questionnaire, the Strengths and Difficulties Questionnaire (SDQ), were compared with the Rutter questionnaires and administered to parents and teachers of 403 children (aged 4-16 yrs) drawn from psychiatric and dental clinics. Scores derived from the SDQ and Rutter questionnaires were highly correlated; parent-teacher correlations for the 2 sets of measures were comparable or favoured the SDQ. The 2 sets of measures did not differ in their ability to discriminate between psychiatric and dental clinic attenders. These preliminary findings suggest that the SDQ functions as well as the Rutter questionnaires while offering the following additional advantages: a focus on strengths as well as difficulties; better coverage of inattention, peer relationships, and prosocial behavior; a shorter format; and a single form suitable for both parents and teachers, perhaps thereby increasing parent-teacher correlations. The SDQ and its scores are appended. (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study'd^U London, Inst of Psychiatry, Dept of Child & Adolescent Psychiatry, London, England [Goodman]e "! :4Furukawa, T. A. Kessler, R. C. Slade, T. Andrews, G. 2003The performance of the K6 and K10 screening scales for psychological distress in the Australian National Survey of Mental Health and Well-BeingPsychological Medicine332 357-62 Psychol Med 0033-2917* KES-00009*rlDepression, Involutional epidemiology; Mass Screening; Questionnaires ; Self Concept Adolescent ; Adult ; Australia epidemiology; Depression, Involutional diagnosis; Diagnostic and Statistical Manual of Mental Disorders; Logistic Models; Middle Aged; Prevalence ; Reproducibility of Results Female; Human; Male; Support, Non U.S. Gov't; Support, U.S. Gov't, P.H.S.BACKGROUND: Two new screening scales for psychological distress, the K6 and K10, have been developed but their relative efficiency has not been evaluated in comparison with existing scales. METHOD: The Australian National Survey of Mental Health and Well-Being, a nationally representative household survey, administered the WHO Composite International Diagnostic Interview (CIDI) to assess 30-day DSM-IV disorders. The K6 and K10 were also administered along with the General Health Questionnaire (GHQ-12), the current de facto standard of mental health screening. Performance of the three screening scales in detecting CIDI/DSM-IV mood and anxiety disorders was assessed by calculating the areas under receiver operating characteristic curves (AUCs). Stratum-Specific Likelihood Ratios (SSLRs) were computed to help produce individual-level predicted probabilities of being a case from screening scale scores in other samples. RESULTS: The K10 was marginally better than the K6 in screening for CIDI/DSM-IV mood and anxiety disorders (K10 AUC: 0.90, 95%CI: 0.89-0.91 versus K6 AUC: 0.89, 95%CI: 0.88-0.90), while both were significantly better than the GHQ-12 (AUC: 0.80, 95%CI: 0.78-0.82). The SSLRs of the K10 and K6 were more informative in ruling in or out the target disorders than those of the GHQ-12 at both ends of the population spectrum. The K6 was more robust than the K10 to subsample variation. CONCLUSIONS: While the K10 might outperform the K6 in screening for severe disorders, the K6 is preferred in screening for any DSM-IV mood or anxiety disorder because of its brevity and consistency across subsamples. Precision of individual-level prediction is greatly improved by using polychotomous rather than dichotomous classification. Feb English'VODepartment of Psychiatry, Nagoya City University Medical School, Nagoya, Japan. 0*Gaines, P., Bower, A., and Buckingham, W. 2001LEMental Health Classification and Outcome Study: Study Resource Manualp <6Health Research Council of New Zealand: Auchland, 2001 NZ-00002* PIGaines, P., Bower, A., Buckingham, W., Eagar, K., Burgess, P. & Green, J.c 2003PINew Zealand Mental Health Classification and Outcomes Study: Final Report\ Auckland 81Health Research Council of New Zealand: Auckland.\ NZ-00001*@:Assessment of life events using domain-specific appraisalsGalette, Fritz Anthony  Fordham U.RKThe purpose of this study was to examine the impact of life events using a multidimensional appraisal scale. In order to achieve this, college students were asked to rate the impact of certain life events from six perspectives. These perspectives, referred to as domain-specific appraisals, related to the perceived impact of life events on basic life areas that include one's mood, social relations, self-image, role/responsibility, outlook on life, and sense of freedom. These six appraisal domains, identified over the course of an ongoing research project, have been found to represent life areas for college students commonly impacted by life events and were incorporated into a scale entitled the Domain-Specific Appraisal Scale (DSAS). The participants in the present study were 132 undergraduate students: 70 females and 62 males residing on the Rose Hill Campus at Fordham University. All participants were given a questionnaire packet containing the DSAS, the Life Experiences Survey, the Ways of Coping Checklist, the Mental Health Inventory, the Perceived Social Support from Friends Scale, and the Neuroticism. Extraversion Openness-Five Factor Inventory. Results provided evidence that the DSAS is a useful and valid instrument for assessing the impact of life events. In comparison to the Life Experiences Survey, the DSAS produced similar correlations with measures of personality, coping, and social support, and was a better predictor of psychological distress and well-being. In general, the predicted relationships between domain-specific appraisal and life events impact, personality, and psychological health were supported. Suggestions for future research included implementation of the DSAS with different populations to examine whether the same domains emerge as life commonly impacted by life events. (PsycINFO Database Record (c) 2003 APA )2 2000Availability UMI Dissertation Order Number AAI9964566 Dissertation Abstracts International: Section B: The Sciences & Engineering. Vol 61(3-B), Sep 2000, pp. 1633 Publisher US: Univ Microfilms International Dissertation Abstract; Empirical StudyuHuman; Male; Female; Adulthood (18 yrs & older); Young Adulthood (18-29 yrs) Life Experiences; Rating Scales evaluation of Domain-Specific Appraisal Scale; assessment of impact of life events; college students.N Adulthood (18 yrs & older)RKSchneider, Justine Wooff, David Carpenter, John Brandon, Toby McNiven, Fayee 2002RKService organisation, service use and costs of community mental health carea2+Journal of Mental Health Policy & Economics52 79-87 Jun2002-08608-007 HON-00109|v*Community Mental Health; *Costs and Cost Analysis; *Health Care Costs; *Health Care Delivery; *Mental Health Services~wExplored the association between different forms of mental health service organization and costs and tested the impact on costs of services with high degrees of integration between health and social care providers, and of services targeting at people with more severe mental health problems. 260 service users in 4 districts in the north of England were interviewed and costs identified for each person. The districts comprised examples of four types of service configuration. Use and non-use was compared by type of service, and after suitable transformations, costs were also compared between districts and between types of service. Costs were closely related to severity. People in targeted services had higher mean costs. The costs of targeted services in this study were very similar to those of psychosis-only services in a London study. Integrated services were predicted to have lower inpatient costs, lower PCG costs and lower total health and social care costs. Differences between use and costs of specific services were largely attributable to imprecise definitions and supply-side factors. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.icmpe.orgMale(!Pirkis, J. Burgess, P. Jolley, D.i 1999jcSuicide attempts by psychiatric patients in acute inpatient, long-stay inpatient and community carel2,Social Psychiatry & Psychiatric Epidemiology3412 634-44 Dec\10703273 HON-00077*ZT*Community Mental Health Services; *Mental Disorders rehabilitation; *Suicide, Attempted statistics and numerical data Acute Disease; Adult ; Hospitalization ; Length of Stay; Mental Disorders complications; Middle Aged; Personality Disorders complications; Retrospective Studies complications; rehabilitation; statistics and numerical data\UBACKGROUND: This study examined rates of and risk factors associated with suicide attempts by psychiatric patients under active care. It was especially focussed on the relative rates across three standard treatment settings: acute inpatient care, long-stay inpatient care and community-based care. METHODS: A total of 12,229 patients in 13,632 episodes of care were rated on the Health of the Nation Outcome Scales (HoNOS) Item 2. For the purposes of the current investigation, a score of 4 was deemed to indicate a suicide attempt. RESULTS: Incidence densities per 1000 episode days were 5.4 (95% CI = 4.8-6.1) for patients under care in acute inpatient settings, 0.6 (95% CI = 0.5-0.8) for patients under care in long-stay inpatient settings, and 0.5 (95% CI = 0.5-0.6) for patients under care in community-based arrangements. Predictors varied by treatment setting. Risk was elevated for personality disorders across all settings: 22.7 attempts per 1000 episode days (95% CI = 17.2-30.0) in acute inpatient care; 2.1 (95% CI = 1.0-4.5) in long-stay inpatient care; and 2.3 (95% CI = 1.7-3.0) in community-based care. This effect remained after adjustment for demographics. CONCLUSION: Rates of suicide attempts among psychiatric patients are a major issue facing contemporary mental health care systems, and risk factors vary across different treatment settings.0933-7954 EnglishB8Slade, M. Cahill, S. Kelsey, W. Powell, R. Strathdee, G. 2002ngThreshold 2: the reliability, validity and sensitivity to change of the Threshold Assessment Grid (TAG)eActa Psychiatr Scand 106a6a 453-60 Decs12392489 HON-00026*\U*Mental Disorders diagnosis; *Psychiatric Status Rating Scales standards; *Severity of Illness Index Adult ; Aged ; Attitude of Health Personnel; Feasibility Studies; London ; Mental Disorders psychology; Middle Aged; Patient Care Team; Psychometrics ; Reproducibility of Results; Sensitivity and Specificity diagnosis; psychology; standardsOBJECTIVE: This study investigated the psychometric properties of the Threshold Assessment Grid (TAG), a new assessment of the severity of mental health problems. METHOD: A total of 605 patients were recruited from 10 mental health adult and elderly services in London, UK. TAG ratings and other standardized definitions of severe mental illness were completed by referrers. TAG, Global Assessment of Functioning (GAF), Camberwell Assessment of Need Short Appraisal Schedule (CANSAS) and Health of the Nation Outcome Scale (HoNOS) ratings were completed by mental health service staff. Construct validation on extreme groups was investigated. RESULTS: Construct and concurrent validity were good. Referrer TAG scores predicted mental health team view of referral suitability, but not whether assessments were offered. Test-retest reliability was good, interrater reliability ranged from good to poor in different domains (but adequate for total TAG score), internal consistency was appropriate. Sensitivity to change requires further investigation. CONCLUSION: The TAG can be recommended for use by all agencies when making referrals to mental health services.0001-690x EnglishphaBlackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=ACP&vol=106&page=453&goto=abstractm'f_Health Services Research Department, Institute of Psychiatry, London, UK. m.slade@iop.kcl.ac.uk F@:Dunn, Judy Cheng, Helen O'Connor, Thomas G. Bridges, Laura 2004ztChildren's perspectives on their relationships with their nonresident fathers: Influences, outcomes and implications.(Journal of Child Psychology & Psychiatry453553-566 Mar2004-11432-013 SDQ-00072*tm*Adjustment; *Child Attitudes; *Father Absence; *Father Child Relations; *Stepparents; Mother Child Relations{Children's relationships with their nonresident fathers, and associations between these relationships, children's relationships with mothers and stepfathers, and the children's adjustment were studied in 162 children from single-parent and stepfamilies, selected from a representative community sample in the UK, studied at 2 time points two years apart. In the methodology, children were interviewed about their relationships with their nonresident fathers, mothers and stepfathers; mothers reported on children's adjustment, and other family variables. The results stated that positive child-nonresident father relationships were correlated with (a) contact between child and father, (b) the quality of the mother-child relationship, and (c) the frequency of contact between the mother and her former partner. Conflict between child and father was correlated with conflict between child and mother, and child and stepfather. It was concluded that associations between the quality of children's relationships with nonresident fathers and their adjustment need to be considered within the framework of the larger family system; child-father relationships are particularly important for children from 'high risk' families. (PsycINFO Database Record (c) 2004 APA )English("http://www.blackwellpublishing.com  Dupuy, H. J. 1972XRThe psychological section of the current health and nutritional examination surveyProceedings of the Public Health Conference on Records and Statistics Meeting Jointly with the National Conference on Health Statisticsh Washington, DC .(National Conference on Health Statisticsy 1998. July 1998hAUS-COM-00008*,&http://www.health.gov.au/hsdd/mentalhe $Australian Health Ministers.,l,%National Mental Health Plan 20032008 ,&Canberra: Australian Government, 2003.AUS-COM-00007*www.mentalhealth.gov.au @9Australian Institute for Suicide Research and Prevention,A 2003RKInternational Suicide Rates Recent Trends and Implications for Australia. F@Australian Government Department of Health and Ageing, Canberra.AUS-COM-00010*uMaleJCKouri, Elena Pope, Harrison G. Yurgelun-Todd, Deborah Gruber, Stacif 1995RLAttributes of heavy vs. occasional marijuana smokers in a college populationBiological Psychiatry387475-481t Oct 0006-3223 MHI-00018*Human; Adulthood (18 yrs & older) Demographic Characteristics; Drug Usage; Marijuana Usage; Mental Health demographic characteristics & other drug use & psychiatric functioning; heavy vs occasional marihuana smokers.'Compared 45 long-term heavy marijuana smokers (individuals who had smoked daily for at least 2 years) with 44 occasional smokers (individuals who had never smoked more than 10 times in a month at any time in their lives) in a cohort of college students. Measures included a questionnaire covering demographic, drug use, and subjective items; the Rand Mental Health Inventory; and both Axis I and II sections of the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-III-Revised (DSM-III-R). Heavy smokers reported higher rates of use of other substances, especially hallucinogens and cocaine, and described greater subjective impairment of memory and motivation than occasional smokers. However, on a wide range of demographic, family background, and mental health measures, heavy smokers proved almost indistinguishable from occasional smokers. Even the heaviest smokers exhibited few demographic or psychiatric features distinguishing them from students who smoked only occasionally. (PsycINFO Database Record (c) 2003 APA ),&Peer Reviewed Journal; Empirical Study'F?McLean Hosp, Biological Psychiatry Lab, Belmont, MA, US [Kouri]k Fava1998 Favilla2000 Favilla2001 Favrod20010 Fazzari1998 Fear1999Federman2000 Feldman1996Fendrich1990 Ferdinand1997Ferguson2002Fernandez de Larrinoa1992Fernandez de Larrinoa1992n Ferrell2004Ferreras1999s Ferrero2001 Ferrero2003u Ferro2004n Fiducia1996v Fields20022g Fife20000 Finch2003Findling2003Findling2003vFindling2004 Finney2000^ Firn20022 Fischer2001r Fisher19933 Fisher1996c Fisher1996 Fisher199882 Fisher19999 Fisher2002 Fisher20030 Fisman1996 Fitzgerald1999o Fitzpatrick2001 Flato1997J Fleishman1996 Fleiss19766 Flodstrom2001P Florian1990 Florian1990G Florian1997, Floyd1993 Fogel1995Fokianos2001 Foley1994! Foliaki2003 Foltz2002Fombonne2001zFombonne2003 Ford1997 Ford20000 Ford20010 Ford2001 Ford2002z Ford20030~ Ford20030 Form20031 Forshee2002 Fortney2001* Fortney2003 Fossey2001 Foster20022E Fowler20020F Fowler20020 Fox20005 Foy2003P Frances2001Franklin20010dFranklin2002 Frazier1992 Frazier1994 Frazier2004Freedman20000g Fricchione2000Friedman19969 Fries1994 Fries1999 Fries2001 Fries2001 Fries2002 Fries2002 Fries20027 Friis2000H Froberg1991w Frosh2003 Frost1993& Fryersr Fuentes2000 Fultz2002Furukawa2003! Gaines2001" Gaines2003e Galette2000A Gallagher2000 Gallus20044< Ganju1999< Ganju1999/ Ganster2003 Gara20032 Garber1990r Garcia2000 Garcia20044Gardiner2003 Gargiullo2003HGarralda19966Garralda1998*Garralda1999UGarralda2000[Garralda2000Garralda2001Garralda2003 Garrett1997f Garrett1997Garrison1994eGarrison1995eGarrison1995Garrison1995Garrison1997 Gasto2003 Gatward2000~ Gatward2003 Gauntlett2002 Gautre-Delay2000 Gavazzi1994gGearhart1996 Geller19955 Geller1999 Geller2000 Geller20033= Geller2004 Gent200209 Gerlach2002 German2001Gfroerer2003 Giaocomini2003 Gibaldi2003 Gigantesco2003 Gilbody2002& Gilbody2002K Gill2004r Gilliss2002 Giolas1998Girimaji20030 Giuffrida1999H Gjerdingen1991 Gladstone1998 Glazebrook2001 Glazebrook2003 Glied1997 Glorney2002 Glover19977 Glover1999 Glover2000bGluhoski1997 Gochman2002)Godleski2001 Godley20010Goedhart2003 Goethe19969 Goethe20012Goldberg2002|Goldberg2003 Goldfinger1996K Goldman1989M Goldman1991 Goldner2002 Goldney1996  Goldney1998 Goldney2002 Goldstein1998 Golfeto2003Gonzalez2002 Goodman1993 Goodman1996 Goodman1996p Goodman1997 Goodman1998 Goodman1999 Goodman1999r Goodman2000 Goodman2000 Goodman2000 Goodman2000 Goodman2000 Goodman2001 Goodman2001 Goodman2001 Goodman2001m Goodman2003z Goodman2003} Goodman2003~ Goodman2003 Goodman2003 Goodman2003 Goodman2003 Goodman2004 Gooen1996 Gordon19944 Gosling2004 Goss20000 Gould1988 Gould1990r Gould1993 Gould1996r Gould2001z Gould2001 Gournay2002 Gowans2001 Gowans2002 Gowers1997 Gowers1999Y Gowers1999Z Gowers1999T Gowers2000X Gowers2002 Gozio1998 Gracely1987Gracious2003vGracious2004J Graczyk2004 Graham2001 Graham2002 Grando2001u Grando2002 Grant1998h Grant1998Gravelle19999~ Graydon2002@ Grayson2004,Green( Green1987 Green1987 Green1994 Green1999 Green1999P Green2001 Green2003 Foliaki2003Fombonne2001zFombonne2003̑ Ford1997̠ Ford20000 Ford20010 Ford2001 Ford2002z Ford20030~ Ford20030 Form20031 Forshee2002 Fortney2001* Fortney2003 Fossey2001̽ Foster20022E Fowler20020F Fowler20020 Fox20005 Foy2003P Frances2001Franklin20010 Frazier1992 Frazier1994 Frazier2004Freedman20000g Fricchione2000̅Friedman19969 Fries1999 Fries2001 Fries2001 Fries2002 Fries2002 Fries20027 Friis2000H Froberg1991w Frosh2003 Frost1993& Fryersr Fuentes2000 Fultz2002Furukawa2003! Gaines2001" Gaines2003A Gallagher2000< Ganju1999/ Ganster2003 Gara20032 Garber1990r Garcia2000 Garcia20044Gardiner2003̙ Gargiullo2003Garralda1998*Garralda1999UGarralda2000[Garralda2000̩Garralda2001̲Garralda2003̼ Garrett1997Garrison1994eGarrison1995eGarrison1995̧Garrison1995̪Garrison1997̥ Gasto2003 Gatward2000~ Gatward2003 Gauntlett2002 Gautre-Delay2000̣ Geller19955 Geller1999 Geller2000̚ Geller20033 Gent200209 Gerlach2002 German2001Gfroerer2003̼ Giaocomini2003 Gilbody2002& Gilbody2002 Gilliss2002 Giolas1998Girimaji20030 Giuffrida1999H Gjerdingen1991 Gladstone1998 Glazebrook2001̝ Glazebrook2003̼ Glied1997 Glorney2002 Glover19977 Glover1999 Glover2000bGluhoski1997̾ Gochman2002)Godleski2001̆ Godley20010Goedhart2003 Goethe19969 Goethe20012Goldberg2002̲ Goldfinger1996K Goldman1989M Goldman1991 Goldner2002 Goldney1996  Goldney1998 Goldney2002 Goldstein1998 Golfeto2003Gonzalez2002 Goodman1993 Goodman1996 Goodman1996p Goodman1997 Goodman1998 Goodman1999 Goodman1999r Goodman2000 Goodman2000 Goodman2000 Goodman2000 Goodman2000 Goodman2001 Goodman2001 Goodman2001 Goodman2001m Goodman2003z Goodman2003} Goodman2003~ Goodman2003 Goodman2003 Goodman2003 Goodman2003 Gordon19944 Goss20000 Gould1988 Gould1990r Gould1993 Gould1996r Gould2001z Gould2001 Gournay2002 Gowans2001́ Gowans2002 Gowers1999Y Gowers1999Z Gowers1999T Gowers2000X Gowers2002̌ Gozio1998Gracious2003vGracious2004 Graham2002 Grando2001u Grando2002 Grant1998Gravelle19999~ Graydon2002( Green1987 Green1994 Green1999P Green2001 Green20032003 4* Diagnosis, Dual Psychiatry diagnostic Diagnostic and Statistical$!Diagnostic and Statistical Manual85Diagnostic and Statistical Manual of Mental Disordersdiagnostic criterion(#Diagnostic Tests, Routine standards DialysisDiet, Fat RestrictedDiet, Reducing psychologyDietary Fats metabolismDietary Restraint DifferencesHBdifferential belief systems functioning & degrees of environmentalD?differentiation of self & interactional-emotional & sexual need Difficulties Questionnaire Direct Service Costs trends disabilities disabilitydisability detectionDisability Evaluation Disabled (Attitudes Toward) Disabled Children psychologyDisabled Persons$!discharge of psychiatric patients disclosure discrepancydiscrimination(#discusses the nature of life skills diseaseDisease Coursedisease progression disorderdisorder severity disorders Disorders and SchizophreniaDAdisplays of anger/negative emotion & empathic/prosocial responses@;disqualifying family communication & child anxiety & socialdisruptive 4 yr oldsdisruptive behavior85disruptive behavior disorders (mean age 9.99 yrs old)dissatisfaction Distress distress & coping resourcesdistrict general hospital Disturbeddivalproex sodium Divorcedivorced parents DNA genetics doctors domainsdomestic violenceDopamine geneticsDopamine metabolism$ Dose Response Relationship, Drug Drug AbuseDrug AddictionDrug InteractionsDrug RehabilitationDrug Resistance, Neoplasm Drug TherapyDrug Therapy, Combinationdrug treatment Drug UsageDrugs DSM-IV0+DSM-IV syndromal and subsyndromal comorbityDual Diagnosis Duration$duration of untreated psychosis0+during dyadic play interactions with friendDutchdyadic interactionsDyadsdysexecutive syndromeDysthymic Disorder$Dysthymic Disorder epidemiology Dysthymic Disorder psychologyearlyearly childhoodEarly ExperienceEarly Interventionearly psychosis EatingEating Disorders$ Eating Disorders physiopathology Eating Disorders psychologyEating physiologyeconomic advantages economics Education40Education, Nursing statistics and numerical data Educational Attainment LevelEducational PersonnelEducational Status educatorsEEG effectivenessEffectiveness Evaluationeffectiveness measurementD>effectiveness of MMPI-2 validity vs Millon Clinical Multiaxial@=effectiveness of participation in psychosocial rehabilitation@=effectiveness of traditional Chinese medicine in treatment ofHBeffectiveness of very short versions of Geriatric Depression Scale efficacy<8efficacy of interpersonal therapy with novice therapists Elder Careelderly ChineseElectrical ActivityElectroencephalographyElementary School EmotionalEmotional Adjustment$!emotional and behavioral disorderEmotional Developmentemotional disordersemotional problemsEmotional ResponsesEmotional StabilityEmotional StatesEmotional Trauma EmotionallyEmotionally Disturbed Emotions EmpathyHBemphasizes the need for a reliable & valid database that can serveEmployee AttitudesEmployee CharacteristicsEmployee ProductivityEmployment psychologyEmployment Status EmpowermentD?empowerment model on affective states of psychological distress Energy Intake Energy Metabolism physiology engagement EnglandEngland & BangladeshEngland epidemiologyHBenhancement of mental health & mental health care in nursing homes entrepreneurs EnvironmentEnvironmental Attitudes Epidemiologyepidemiology of<8Epidemiology Research Interview Demoralization Composite epidsode equivalence erratumerrorD@Essays in the economics of child mental health (family structure,Jette, A. Davis, A. 1986^WThe Functional Status Questionnaire: Reliability and validity when used in primary carel*$Journal of General Internal Medicine1u143-149("Johnson, M. E. Brems, C. Burke, S. 2002<5Recognizing comorbidity among drug users in treatment0*American journal of drug and alcohol abuse282 243-61Am J Drug Alcohol AbuseW 0095-2990X BAS-00004*Alcoholism diagnosis; Mental Disorders diagnosis; Substance Related Disorders diagnosis Adult ; Alcoholism epidemiology; Alcoholism rehabilitation; Comorbidity ; Diagnosis, Dual Psychiatry; Mental Disorders epidemiology; Mental Disorders rehabilitation; Middle Aged; Northwestern United States epidemiology; Psychiatric Status Rating Scales; Substance Related Disorders epidemiology; Substance Related Disorders rehabilitation Female; Human; Male; Support, U.S. Gov't, P.H.S.rThis study identified comorbidity (coexistence of substance abuse and mental health diagnoses) rates and characteristics among 104 clients in a substance abuse treatment setting. To identify commonly collected intake variables that can be used for early identification of drug users with coexisting mental health concerns, participants completed a demographics questionnaire, brief symptom inventory, behavior and symptom identification scale (BASIS-32), and a drug and alcohol assessment. Results revealed a comorbidity rate of 45% and significant relationships between comorbidity and the following variables: absence of prior treatment, greater rates of unemployment, poorer physical health, poorer functioning in a variety of areas, greater symptom severity regarding drug use, poorer mental health, and greater rates of homelessness. Of these, the first four variables were the most powerful predictors of comorbidity. It can be concluded that unemployment without looking for work, difficulties relating to self and others, not having received prior outpatient treatment, and having poorer physical health can signal the possible presence of coexisting mental health problems. Implications for early detection and subsequent treatment planning are discussed.English'LEDepartment of Psychology, University of Alaska, Anchorage 99508, USA.s less effectuve in addressing psychological or physical problems. Service users in the United Kingdom were more involved in developing their reatment care plan than those in Australia. The study demonstrates how data required for benchmarking and outcome evaluation purposes can be generated as part of routine clinical practices.cEpstein, A. M. 1990B;The outcomes movement - will it get us where we want to go?e&New England Journal of Medicines 323d266-270. OUT-NMH-00001 b/assertive outreachAssertive Outreach teams Assertiveness0,assessed by pediatric psychosocial personnel assessing assessmentHBassessment & use of correctional & mental health & child welfare & assessment of@:assessment of caseness & measures of functional impairment assessment of common problemsassessment of depression Assessment of Function Scale$assessment of functional statusassessment of levels ofassessment of mental$!assessment of overall functioning($assessment of psychiatric caseness &4/assessment of psychiatric symptoms & functional0+assessment of psychological distress & well assessment of substance abuseAssessment Scaleassessment strategies assistantsassisted living Asthmaasthmatic childrenAt At Risk@Attention Deficit and Disruptive Behavior Disorders psychology Attention Deficit Disorder0-Attention Deficit Disorder with Hyperactivity<7Attention Deficit Disorder with Hyperactivity diagnosis@:Attention Deficit Disorder with Hyperactivity drug therapy@:Attention Deficit Disorder with Hyperactivity epidemiology<6Attention Deficit Disorder with Hyperactivity genetics<7Attention Deficit Disorder with Hyperactivity pathology<8Attention Deficit Disorder with Hyperactivity psychology,(attention-deficit/hyperactivity disorderAttitude FormationAttitude Measures Attitude of Health PersonnelAttitude to Health Attitudes(%attributable to psychiatric morbidity Attribution attrition atypicalaudioscriptotherapy AustraliaAustralia epidemiologyAustralian children Austria AutismAutistic Children Azacitidine therapeutic use Background BangladeshBangladeshi children BASIS-32Beck Depression InventoryBeck Hopelessness Scale Behavior,)Behavior and Symptom Identification ScaleBehavior Checklist$!behavior disorder & mental healthBehavior DisordersBehavior ModificationBehavior Problems,)behavior problems & development of mentalBehavior Therapy4.Behavior Therapy statistics and numerical data behavioral,)Behavioral & Symptom Identification ScaleBehavioral Assessmentbehavioral checklistsBehavioral Contrast83Behavioral Medicine organization and administration Behavioral Medicine standardsbehavioral problemsbehavioral screening$!Behavioral Symptoms complications Behavioral Symptoms diagnosis$Behavioral Symptoms psychology83Behavioural Assessment of the Dysexecutive Syndromebehavioural problemsbeingBenchmarking methodsBias EpidemiologyBiological Family bipolarBipolar DisorderBipolar Disorder blood Bipolar Disorder drug therapyBipolar Disorder genetics Bipolar Disorder psychology$Bipolar Disorder rehabilitationBipolar Disorder therapybipolar disordersbipolar youths Birth Weightbisexual youth Bisexuality,&Black 18-56 yr olds with schizophrenia Black females BlacksBloodblood concentrationsBlue blue collar Body ImageBody Mass IndexBody Weight physiologyBorderline StatesBrain Brain Damagebrain oscillations BrazilBrazil epidemiology Breast Neoplasms pathology Breast Neoplasms psychology$Breast Neoplasms rehabilitationBreast Neoplasms surgeryBrenner's modelbrief consultation$Brief Psychiatric Rating Scale$!brief psychodynamic psychotherapyBrief Psychotherapy brief screening assessments40British Nationwide Survey of Child Mental Health C:p942xCB~A@l>v=?2,Mental Health Statistic Improvement Program, 2001>8MHSIP Report Card 2.0 Workgroup Meeting. Meeting Minutes B;The Westin Grand Hotel 2350 M Street, N.W. Washington, D.C.SNovember 15-16, 2001USA-MHS-00012*2,Mental Health Statistic Improvement Program, 2002Mental Health Statistics Improvement Program (MHSIP) Consumer Oriented Report Card Workgroup Version 2. Purpose, Values and Charge to the WorkgroupUSA-MHS-00014*2,Mental Health Statistic Improvement Program, Year$Suggested Report Card FormatsoUSA-MHS-00013*2,Mental Health Statistic Improvement Program, YearThe Consumer Survey*USA-MHS-00011*2,Mental Health Statistic Improvement Program, Year60Child and Adolescent Functional Assessment ScaleUSA-MHS-00010*2,Mental Health Statistic Improvement Program, Year,%Clinician Alcohol and Drug Use ScalescUSA-MHS-00009*2,Mental Health Statistic Improvement Program, Year>8The Consumer Survey. The MHSIP Mental Health Report CardUSA-MHS-00011*4-Mental Health Statistics Improvement Program,aTechnical AppendixUSA-MHS-00025*- Concerns, Indicators, and Measures - Tables Relating Measures to Data Sources and Populations- Proposed Consumer Survey Items - Standardized Instruments - Enrollment/Encounter Data Set - Psychometric Properties of Report Card Instruments - Suggested Report Card Formats 4-Mental Health Statistics Improvement Program,82Psychometric Properties of Report Card InstrumentsUSA-MHS-00023* 4-Mental Health Statistics Improvement Program,B;The Medical Outcomes Study 36-Item Short-Form Health SurveyaUSA-MHS-00018* 4-Mental Health Statistics Improvement Program,&The Rosenberg Self-Esteem ScaledUSA-MHS-00017* 4-Mental Health Statistics Improvement Program,nLEThe MHSIP Mental Health Report Card. Key Indicators Related to Access\USA-MHS-00008* 8~xPower, P. J. R. Bell, R. J. Mills, R. Herrman-Doig, T. Davern, M. Henry, L. Yuen, H. P. Khademy-Deljo, A. McGorry, P. D. 2003Suicide prevention in first episode psychosis: the development of a randomised controlled trial of cognitive therapy for acutely suicidal patients with early psychosis4.Australian & New Zealand Journal of Psychiatry374414-420 Aug2003-05924-004 HON-00036*jc*Acute Psychosis; *At Risk Populations; *Cognitive Therapy; *Suicidal Ideation; *Suicide PreventionRBackground: Young people with early psychosis are at particularly high risk of suicide. However, there is evidence that early intervention can reduce this risk. Despite these advances, first episode psychosis patients attending these new services still remain at risk. To address this concern, a program called LifeSPAN was established within the Early Psychosis Prevention and Intervention Centre (EPPIC). The program developed and evaluated a number of suicide prevention strategies within EPPIC and included a cognitively oriented therapy (LifeSPAN therapy) for acutely suicidal patients with psychosis. We describe the development of these interventions in this paper. Method: Clinical audit and surveys provided an indication of the prevalence of suicidality among first episode psychosis patients attending EPPIC. Second, staff focus groups and surveys identified gaps in service provision for suicidal young people attending the service. Third, a suicide risk monitoring system was introduced to identify those at highest risk. Finally, patients so identified were referred to and offered LifeSPAN therapy whose effectiveness was evaluated in a randomised controlled trial... (PsycINFO Database Record (c) 2003 APA ) (journal abstract)English.("http://www.blackwellpublishing.comlotic Disorders therapy(!Copeland, Anne P. Norell, Sara K. 2002RKSpousal adjustment on international assignments: The role of social supportl60International Journal of Intercultural Relations263o255-272J Mayt 0147-1767  MHI-00027*RKHuman; Female; Adulthood (18 yrs & older); Young Adulthood (18-29 yrs); Thirties (30-39 yrs); Middle Age (40-64 yrs); Aged (65 yrs & older) Adjustment; Geographical Mobility; Social Support Networks; Spouses; Wives; Job Characteristics social support; accompanying spouses; overseas adjustment; spouse international job assignmentExamined the role of social support of women relocated around the world as accompanying spouses, and the relationship with overseas adjustment. Ss were 194 22-65 yr old women who had moved temporarily to a new country primarily because of their husband/partners' jobs; they were living in one of 17 countries in Europe, Asia, the Middle East, or Latin America. Measures included those for social support from family and friends and for adjustment (Profile of Mood States, Mental Health Inventory-5, Overall Relocation Adjustment Rating). Results show that women with higher adjustment were in more cohesive families, had had more involvement in the decision to move, felt they had fewer losses in friendship networks, had more functions of social support adequately met, and received more of their support from local rather than long-distance providers, compared with those with lower adjustment. (PsycINFO Database Record (c) 2003 APA )NHDoi 10.1016/s0147-1767(02)00003-2 Peer Reviewed Journal; Empirical Study'`ZBoston U, Dept of Psychology, MA, US [Copeland]; Ernst & Young LLP, Global Employment Solutions - Assignment Management, United Kingdom [Norell] Email Address [mailto:copeland@interchangeinstitute.org] Contact Individual Copeland, Anne P, The Interchange Inst, 11 Hawes Street, Brookline, MA, US, 02446, [mailto:copeland@interchangeinstitute.org]Male0*Ruggeri, M Biggeri, A Rucci, P Tansella, M 1998~wMultivariate analysis of outcome of mental health care using graphical chain models: the South Verona Outcome Project 1aPsychological Medicine28 1421-1431t OUT-MH-00047*dBackground. Short-term outcome of mental health care was assessed in a multidimensional perspective using graphical chain models, a new multivariate method that analyses the relationship between variables conditionally, i.e. taking into account the effect of antecedent and intervening variables. Methods. GAF, BPRS, DAS (at baseline and after 6 months), LQL and VSSS (at follow-up only) were administered to 194 patients attending the South-Verona community-based mental health service. Direct costs in the interval were also calculated. Graphical chain models were used to analyse: (1) the associations between predictors (psychopathology, disability, functioning, assessed at baseline) ; (2) the effects of predictors on costs ; and (3) the effect of predictors and costs on outcomes (psychopathology, disability, functioning, quality of life and service satisfaction) as well as their correlation. Results. Psychopathology, disability and functioning scores at baseline predicted the corresponding scores at 6-month follow-up, with greater improvement in the more severely ill. Higher psychopathology and poorer functioning at baseline predicted higher costs and, in turn, costs predicted poorer functioning at follow-up. Outcome indicators polarized in two groups: psychopathology, disability and functioning, which were highly correlated; and the dyad service satisfaction and quality of life. Service satisfaction was highly related to quality of life and was predicted by low disability and high dysfunctioning. No predictors for quality of life were found. Conclusions. Graphical chain models were demonstrated to be a useful methodology to analyse process and outcome data. The results of the present study help in formulating specic hypotheses for future studies on outcome. Ruggeri, M 2002|uFeasibility, usefulness, limitations and perspectives of routine outcome assessment: the South Verona Outcome Projectu*#Epidemiologia e Psichiatria Sociales113u177-185c OUT-MH-00076 ^F?Habibis, D. Hazelton, M. Schneider, R. Bowling, A. Davidson, J.b 2002A comparison of patient clinical and social outcomes before and after the introduction of an extended-hours community mental health team4.Australian & New Zealand journal of psychiatry363l 392-8 Aust N Z J Psychiatry 0004-8674 LSP-00007*D>Community Mental Health Services; Mental Disorders psychology; Outcome Assessment Health Care Adolescent ; Adult ; Aged ; Analysis of Variance; Australia ; Middle Aged; Patient Satisfaction; Psychiatric Status Rating Scales; Social Behavior; Time Factors Comparative Study; Female; Human; Male; Support, Non U.S. Gov'tOBJECTIVE: The aim of this study was to assess the effectiveness of the addition of standard community treatment to a hospital-based service in a regional district of Australia. METHOD: The study was a naturalistic investigation of a routine clinical service and utilized a longitudinal panel design. Two matched groups of seriously mentally ill patients were recruited,one before the addition of the community mental health team (CMHT)and one after. Each sample was followed up for one year using a semistructured questionnaire and instruments including the Brief Psychiatric Rating Scale, the Global Assessment Scale, the Life Skills Profile and the Rosenberg Self-Esteem Scale as well as hospital records. RESULTS: Patients in both groups showed similar patterns of improvements. Although the aims of the new service included reducing in-patient utilization and improving social functioning,there were few significant differences between the two groups. While the number of admissions and length of stay were lower in the post-CMHTsample most were admitted rather than treated in their homes by the CMHT. CONCLUSION: The study concludes that better outcomes might have been achieved if the aims of the CMHT had been limited to either crisis or rehabilitation interventions, but not both. More attention needs to be paid to the service context in which model programmes are introduced so that new developments can be more closely tailored to the realities of what is likely to be achievable. Jun Englishf`Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=ANP&vol=36&page=392&goto=abstract'ZSSchool of Sociology and Social Work, University of Tasmania, Launceston, Australia.F?Habibis, D. Hazelton, M. Schneider, R. Davidson, J. Bowling, A.b 2003Balancing hospital and community treatment: effectiveness of an extended-hours community mental health team in a semi-rural region of australia("Australian journal of rural health114 181-6Aust J Rural Health 1038-5282 LSP-00016*Community Mental Health Services organization and administration; Patient Care Team organization and administration; Rural Health Services organization and administration Attitude to Health; Case Management organization and administration; Community Institutional Relations; Crisis Intervention organization and administration; Health Services Research; Hospitals, District; Hospitals, General; Longitudinal Studies; Mental Disorders psychology; Mental Disorders therapy; Models, Organizational; Outcome Assessment Health Care; Program Evaluation; Psychiatric Status Rating Scales; Qualitative Research; Self Concept; Tasmania ; Time Factors Human; Support, Non U.S. Gov't $ OBJECTIVE: To examine the effectiveness of the introduction of a community mental health team on consumer psychosocial outcomes. DESIGN: Longitudinal panel design. SETTING: District general hospital in a semi-rural region of Australia. NUMBERS: Two matched groups (n = 37 in each group) MAIN OUTCOME MEASURE: These included: Brief Psychiatric Rating Scale (BPRS), Global Assessment Scale (GAS), Rosenberg Self-Esteem, Life Skills Profile as well as self-report. RESULTS: The study found that the introduction of the new service resulted in few significant differences in consumer outcomes. CONCLUSIONS: The paper argues that because the state was the only specialist mental health service provider and it was unable to offer assertive community treatment, hospital care remained central. Evidence that a substantial proportion of consumers and carers preferred hospital to community care is placed against this background. The paper argues that in regions like these, where community-based services are likely to remain underdeveloped, it may be best to maintain quality hospital services and to target community services more precisely on what is achievable rather than developing community services at the expense of hospital care. WHAT IS ALREADY KNOWN: Studies on the efficacy of assertive community treatment suggest that it can lead to improved consumer outcomes. However, these studies are usually in urban settings and involve experimental teams. In many rural and regional areas community treatment teams offer standard rather than assertive community care. It is therefore important to investigate the effectiveness of community treatment teams in rural and regional Australia. WHAT THIS STUDY ADDS: This study suggests that in rural and regional areas characterised by limited resources, it is too much to expect community treatment teams to have a measurable impact on consumer outcomes. In these settings hospital care remains at the heart of the service. This means that regions such as these need to focus their community services on what is achievable given the level of resources and social ecology. For example, they may need to consider offering either crisis intervention or rehabilitation services and to rely on innovations, such as telehealth or strategic alliances with other service providers to fill the gap. Aug Englishf`Blackwell-Synergy http://www.blackwell-synergy.com/rd.asp?code=AJR&vol=11&page=181&goto=abstract'XQSchool of Sociology and Social Work, University of Tasmania, Tasmania, Australia..'Hatfield, B., Spurrell, M., & Perry, A. 2000Emergency referrals to an acute psychiatric service: demographic, social and clinical characteristics and comparisons with those receiving continuing services$Journal of Mental Health (UK)93 305-17 HON-00101*lfThe characteristices of individuals referred to psychiatric emergency services serce as one indicator of the functioning of the service system as a whole. Evaluations of emergency services have been realatively sparse in the research literature. A two-month cohort of emergency referrals is described ans comparisons made with a Community Mental Health Team (CMHT) caseload group. The characteristics of the individual, dimensions of the crisis, and the outcome of the emergency assessment were recorded in each case. Health of the Nation Outcome Scales (HoNOS) and Global Assessment of Functioning (GAF) rating were obtained. Thise referred from a heterogeneous group, some of whom have serious mental illnesses and many of whom were identified as having poor coping and psycho-social problems. The comparison group (CMHt caseloads) had significantly greater problems of symptom and functioning. The study raises the isse of whether prioritising of specialists mental health services to those with severe and enduring mental illnesses serves to exclude other vulnerable groups. While most individuals in the study had a history of episodic psychiatric contact, many would be likely to satisfy the criteria for continuing support. Some may only have transient needs related to a life crisis; for others woth more chronic difficulties, an emergency response alone cannot be expected.xrHatfield, Barbara Shaw, Jenny Pinfold, Vanessa Bindman, Jonathan Evans, Sherrill Huxley, Peter Thornicroft, Graham 2001Managing severe mental illness in the community using the Mental Health Act 1983: A comparison of Supervised Discharge and Guardianship in England2,Social Psychiatry & Psychiatric Epidemiology3610508-5152001-09300-006 HON-00073*f`*Facility Discharge; *Guardianship; *Laws; *Mental Disorders; Demographic Characteristics; NeedsTwo measures in the English Mental Health Act allow requirements to be imposed upon patients living in the community: Guardianship (Section 7) and Supervised Discharge (Section 25A). The current article sought to compare patients with mental illnesses, made subject to Guardianship or Supervised Discharge. Data on patient characteristics, impairment, needs and interventions were collected from keyworkers in a random national sample of Trusts and local authorities. Ratings were obtained on standardised measures of disability, impairment and needs. Patients placed on Supervised Discharge were more likely to have problems of treatment compliance and drug misuse, while those on Guardianship were more likely to have problems of social welfare and higher ratings of disability and impairment. Supervised Discharge had a higher proportion of African-Caribbean patients. Interventions delivered were rated as effective for both measures. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.springer.denomic status and socioeconomic environment, with particular attention to both the level and dispersion of community income and to their interactions with individual income. 6,925 individuals participated in this study. The dependent variable is individual mental health status, measured by the 5 item Mental Health Inventory (MHI-5; average 80.6) and an indicator of probable anxiety or mood disorder based on clinical screening instruments (positive for 14.3 percent of respondents in the sample). MHI-5 decreases (indicating worse mental health), and the probability of an anxiety or depressive disorder increases continuously from the highest to the lowest quintiles of family income. Within-quintile own income level is also strongly associated with mental health among lower income individuals. There was no evidence that higher levels of income inequality are associated with poor mental health outcomes, measured either by the probability of disorder or MHI-5. Regarding income level, MHI-5 is 3.4 to 3.5 points higher among low income individuals in medium or high income states compared to those in low income states. (PsycINFO Database Record (c) 2003 APA )t,&Peer Reviewed Journal; Empirical Study'D>RAND, Arlington, VA, US [Gresenz]; RAND, Santa Monica, CA, US [Sturm]; UCLA Neuropsychiatric Inst, Health Services Research Ctr, Los Angeles, CA, US [Tang] Email Address [mailto:gresenz@rand.org] Contact Individual Gresenz, Carole Roan, 1200 South Hayes Street, Arlington, VA, US, 22202-5050, [mailto:gresenz@rand.org]http://www.lww.com Green, R. 2003:4Assessing the productivity of human service programs&Evaluation and Program Planninga26 2127tOUT-NMH-00009*$Greenfield, A., and Attkissonr 1999XRThe UCSF Client Satisfaction Scales: I. The client satisfaction questionnaire - 8. Maruish, M. E.`YThe use of psychological testing for treatment planning and outcomes assessment (2nd Ed.)  Mahwah, NJ .'Lawrence Erlbaum Assoicates, PublishersV MIS-00024- Lehoux, Catherine Everett, James Laplante, Louis Emond, Claudia Trepanier, Johanne Brassard, Andree Rene, Linda Cayer, Mireille Merette, Chantal Maziade, Michel Roy, Marc-Andre 2003PIFine motor dexterity is correlated to social functioning in schizophreniamSchizophrenia Research623269-273 Aug 0920-9964 LSP-00033*@9Human; Male; Female; Adulthood (18 yrs & older) Motor Performance; Neuropsychology; Physical Dexterity; Schizophrenia; Social Skills; Cognitive Ability; Verbal Memory social functioning; fine motor dexterity; neuropsychological domains; schizophrenic subjects; Wechsler Memory Scale III Wechsler Memory Scale IIIrkObjective: To identify neuropsychological domains, including fine motor dexterity, that are related to social functioning in schizophrenia. Method: Thirty-six DSM-IV schizophrenic subjects were assessed using the Purdue Pegboard test, the Modified Wisconsin Card Sorting test, the Tower of London, Schwartz' Reaction Time and Wechsler's Associate Learning and Digit Span tests. Social functioning was measured by the Social and Occupational Functional Assessment Scale. Results: Univariate regression analyses showed that the Purdue Pegboard, the Modified Card Sorting test, the Tower of London and Wechsler's Associate Learning subtest were significantly linked to social functioning. The best fitting multivariate model to explain social functioning included fine motor dexterity and executive functioning. Conclusion: Various neuropsychological measures correlated to social functioning, the correlation involving fine motor dexterity being the strongest one. Future studies of the prediction of social functioning in schizophrenia should include fine motor dexterity. (PsycINFO Database Record (c) 2003 APA ) (journal abstract)l`YDoi 10.1016/s0920-9964(02)00327-4 Peer Reviewed Journal; Empirical Study; Journal Article,'Ctr Recherche U Laval Robert-Giffard, Beauport, PQ, Canada [Lehoux, Everett, Laplante, Emond, Trepanier, Brassard, Rene, Cayer, Merette, Maziade, Roy] Email Address [mailto:marc-andre-roy@crulrg.ulaval.ca] Contact Individual Roy, Marc-Andre, Ctr de Recharche U Labal Robert-Giffard, H-4100, 2601 chemin de la Canardiere, Beauport, PQ, Canada, G1J 2G3, [mailto:marc-andre-roy@crulrg.ulaval.ca] ` Servicesservices & Medicareservices eligibility$SES & impairment severity & sex settings severe mentalsevere mental illness severely mentally ill adults SeveritySeverity (Disorders)Severity of Illness Index0-sex & age & other demographic characteristicsSex DifferencesSex Distribution Sex Factors Sex Roles Sexual AbuseSexual BehaviorSexual Satisfaction SF-36 HealthSF-36 Health Survey Shoppingshopping abilityshort screening scalesShort Term Memory Siblings Side EffectsSide Effects (Drug) Singapore Skilled Nursing Facilities SkillsSkin DisordersSleepSleep Disorders diagnosis Sleep Disorders epidemiology Sleep Disorders psychology sleep qualitySmoking Cessation Sociability socialSocial AdjustmentSocial Adjustment ScaleSocial ApprovalSocial BehaviorSocial Casework Social ClassSocial Cognitionsocial connectednesssocial desirabilitysocial functioningSocial IdentitySocial Interaction Social Isolation psychologysocial networkssocial outcomessocial participation Social Phobiasocial problem solvingsocial problemsSocial ReinforcementD>social reinforcement & interviewer disclosure & dress & verbalsocial relations social roles & marital status Social SkillsSocial Skills Training Social StressSocial SupportDAsocial support & prediction of psychological distress & childhoodD@social support & sense of control & coping behavior & adaptationsocial support networks$ Social Work, Psychiatric methodsSocial Workers Socializationsocio-economic0+sociocognitive ability & executive functionSociocultural Factorssociocultural processes$ sociodemographic characteristicssocioeconomic environmentSocioeconomic FactorsSocioeconomic Status Sodiumsomatic symptoms Somatization South AfricaSpain Special Education Studentsspecial schoolSpeech DisordersSpinal Cord Injuriesspinal cord injuryspiritual belief spouse SpousesSSI) stabilityDAstandard vs client focused vs client focused case management plusstandardized assessmentstandardized instrumentsstandardized scales StandardsState MedicineState Medicine standards0,State Medicine statistics and numerical datastate policies state policy StatisticalStatistical AnalysisStatistical Datastatistical significanceStatistical ValidityStatistical Weighting Statistics statistics and numerical dataStatistics, Nonparametric status Stereotyping stimulant Strategies@:strategy & status of available norms of Behavior & Symptom,&Strengths & Difficulties Questionnaire Strengths and Difficulties82strengths and difficulties in school aged children,(Strengths and Difficulties QuestionnaireHBStrengths and Difficulties Questionnaire for screening emotional &,)Strengths and Difficulties Questionnaires Stress4.Stress Disorders, Post Traumatic complicationsStress Managementstress management programStress ReactionsStress, Psychological(#Stress, Psychological complications$Stress, Psychological diagnosis("Stress, Psychological epidemiology$Stress, Psychological etiology(%Stress, Psychological physiopathology0,Stress, Psychological prevention and control$ Stress, Psychological psychology Structural Equation Modeling structure84structured psychodynamic group art therapy technique Students Studiesstudy study powersubgroup variationsubstance abuse(%Substance Related Disorders diagnosis,(Substance Related Disorders epidemiology,&Substance Related Disorders psychology0*Substance Related Disorders rehabilitationsubstance use disorder$ substitutive diagnostic criteria Subtests$successfully quit vs relapsers Sufferingsuicidal behaviorhv VBv VOHeywood, Sam Stancombe, John Street, Eddy Mittler, Helle Dunn, Carol Kroll, Leoe 2003vpA Brief Consultation and Advisory Approach for Use in Child and Adolescent Mental Health Services: A Pilot Study,&Clinical Child Psychology & Psychiatry84503-512 Oct 1359-1045 SDQ-00052Human; Male; Female; Outpatient; Childhood (birth-12 yrs); Preschool Age (2-5 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs); Adulthood (18 yrs & older) England Brief Psychotherapy; Family Intervention; Health Care Delivery; Mental Health Services; Professional Consultation; Client Satisfaction; Integrated Services; Mental Health Program Evaluation; Parental Attitudes; Professional Referral Child and Adolescent Mental Health Services; alternative model of service delivery; brief consultation; parental satisfactionIn England, the demand for, and access to Child and Adolescent Mental Health Services (CAMHS) have led to endemic and intractable problems: long waiting lists, non-attendance and complaints of inaccessibility from both users and referrers. The dilemma facing CAMHS is how best to respond to rising demand without compromising the quality of specialist secondary care services. As a pilot, we developed an alternative model of service delivery that provided a brief (2+1) consultation. We also created a manual as a guide to this process. This was evaluated with 50 families, who were seen within four weeks of their returned questionnaire. Strengths and Difficulties Questionnaire (SDQ) scores showed that 72% of families improved and 95% of parents were satisfied with the service they received. This approach is brief and empowering, and is sufficient to produce change. Implications for services using this approach would include: (i) informing referrers of the alternative model, (ii) training requirements, (iii) increasing the number of mental health workers so that secondary care services are able to function effectively, and (iv) allowing more specialist services to deal with the more severely disturbed cases. (PsycINFO Database Record (c) 2003 APA ) (journal abstract)Doi 10.1177/13591045030084007 Peer Reviewed Journal; Empirical Study; Followup Study; Treatment Outcomes; Qualitative Study; Quantitative Study; Journal Article'North Staffs Combined Healthcare NHS Trust, United Kingdom [Heywood]; Trafford Healthcare NHS Trust, United Kingdom [Stancombe]; NHS, Wales [Street]; Stockport CAMHS, United Kingdom [Dunn]; Royal Manchester Children's Hospital, Salford, United Kingdom [Kroll] Email Address [mailto:leopold.kroll@cmmc.nhs.uk] Contact Individual Kroll, Leo, Royal Manchester Children's Hospital, Hospital Road, Salford, United Kingdom, M27 4HA, [mailto:leopold.kroll@cmmc.nhs.uk]"Higginson, J., & Purvis, K.a 2000F@Usefulness of the BASIS-32 for evaluating program level outcomes&Journal of Psychiatric Practice8\2 125 BAS-00033*~xThe Behavior and Symptom Identification Scale (BASIS-32) is a survey used to collect clients reported perceptions of their symptoms and functioning. This article assesses the usefulness of the BASIS-32 for evaluating program outcomes in Californias statewide performance outcome system for adults with serious mental illnesses.The authors found that, while the instrument could be useful at the clinical level, it did not work well when data were aggregated at the program or system level. Not only did clients drastically under-report their symptoms, but improvements over time, although statistically significant, were negligible and of little practical use for assessing system-level outcomes. In addition, the costs and logistical complexities associated with site licensing became increasingly difficult to justify when compared to obtaining similar information from other sources. Higgitt, Anna 2000(!Suicide reduction: Policy contextcVPInternational Review of Psychiatry. Special Issue: Suicide and attempted suicide121 15-20 Feb2000-03572-002 HON-00058*82*Suicide; *Suicide Prevention; *Health Care Policy Discusses several national policy issues related to the effort of suicide reduction: (1) priorities in health promotion, (2) modernizing mental health services, (3) major demographic factors in suicide, (4) clinical factors in suicide, and (5) suicide prevention interventions. No single intervention is likely to make a major impact on suicide rates. Rather, general improvement in standards of mental health service provision, improvement in primary care recognition and treatments for mental health problems, interventions that reduce substance misuse and via service development that involves users improving engagement of a wider range of society, are needed. The mental health National Service Framework (Department of Health, 1999) has set standards in the care to be offered to some of the most vulnerable in society and make clear to commissioners of health and social care, as well as the range of providers of this care, the timetable by which improvements in care are expected. (PsycINFO Database Record (c) 2003 APA )Englishhttp://www.tandf.co.ukHill, P. 2002HAMapping the Minefield. A model for developing Information Sharingn UK-NHS-00004*1u jcVerdeli, Helen Ferro, Tova Wickramaratne, Priya Greenwald, Steven Blanco, Carlos Weissman, Myrna M.b 2004VPTreatment of Depressed Mothers of Depressed Children: Pilot Study of FeasibilityDepression & Anxiety191 51-58 1091-4269 CGA-00089*Human; Male; Female; Childhood (birth-12 yrs); School Age (6-12 yrs); Adolescence (13-17 yrs); Adulthood (18 yrs & older) Family Background; Major Depression; Mothers; Offspring; Treatment Outcomes; Risk Factors; Social Interaction depressed mothers; depressed children; treatment outcome; depression; maternal depression; social functioning; risk factors; Children's Depression Inventory; Beck Depression Inventory; Hamilton Rating Scale for Depression; Social Adjustment Scale; Test of Nonverbal Intelligence Children's Depression Inventory; Beck Depression Inventory; Hamilton Rating Scale for Depression; Social Adjustment Scale; Test of Nonverbal IntelligenceB7Sainsbury Ctr for Mental Health, London, England [Ford]d } `negative symptomsNegative Syndrome Scale neglect & family dysfunctionneighborhood violence NeighborhoodsNeoplasm Staging NeoplasmsNeoplasms complicationsNeoplasms psychology Nervous(%Nervous System Diseases complications Netherlands Networksneurocognitive correlates neurocognitive rehabilitationNeuroleptic Drugs neuroleptics neurological,&Neuroprotective Agents therapeutic useneuropsychological$neuropsychological functioning$!Neuropsychological RehabilitationNeuropsychological Tests<6Neuropsychological Tests statistics and numerical dataNeuropsychology Neurotic Disorders psychologyNewNew South Wales New York New York CityNew York epidemiology(%non-case managed psychiatric patients(#non-specific psychological distress non-verbalnondirective supportiveNonprofessional Personnel nonspouse significant others nonworkingHBnorms on Eysenck Personality Questionnaire & BAROMAS self efficacy,'Northwestern United States epidemiology Norwaynumber of hospital Nurses Nurses' Aides0+Nurses' Aides statistics and numerical dataNurses' Aides utilization nursingNursing Assessment Nursing Assessment standards Nursing Auditnursing facilitynursing home case mixnursing home level ofnursing home residents Nursing HomesNursing Homes economics0-Nursing Homes organization and administrationNursing Homes standardsNursing Homes utilization Nursing Methodology Research40Nursing Services organization and administrationNursing Staff psychology Obesity, Morbid psychologyObesity, Morbid surgery@