Predictors of quality of life in people with severe mental illness

Author:

Fahy Thomas,Kent Andy,Tattan Theresa,Van Horn Elizabeth,White Ian

Abstract

BackgroundIt is not clear which model of case management is most likely to improve quality of life in people with severe mental illness.AimsTo use baseline data derived from the UK700 Case Management Trial to assess the relative importance of clinical, social and unmet needs variables as predictors of subjective quality of life in patients with severe mental illness.MethodPatients (n=708) were assessed on quality of life (Lancashire Quality of Life Profile), needs (Camber well Assessment of Need), psychopathology and social functioning. Variables that were amenable to change through case management were investigated as predictors of quality of life.ResultsSocial variables accounted for 7% of the variance for subjective quality of life, compared with 19% for clinical variables, and 20% for unmet needs. The strongest predictors of subjective quality of life were unmet basic, social and functioning needs, depression and positive psychotic symptoms.ConclusionsSubjective quality of life in severely mentally ill patients is predicted by clinical variables and unmet needs. The results identify priority areas for the attention of case managers who seek to improve quality of life in these patients.

Publisher

Royal College of Psychiatrists

Subject

Psychiatry and Mental health

Reference24 articles.

1. The social care directive: development of a quality of life profile for use in community services for the mentally ill;Oliver;Social Work and Social Sciences Review,1991

2. A COMPREHENSIVE PSYCHOPATHOLOGICAL RATING SCALE

3. Profiles of subjective quality of life in schizophrenic in- and outpatient samples;Kalser;Psychiatry Research,1997

4. Case management, quality of life, and satisfaction with services of long-term psychiatric patients;Huxley;Hospital and Community Psychiatry,1992

5. Case Management for the Mentally Ill: Looking at the Evidence

Cited by 81 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3