精神病患者参加精神卫生服务的相关因素:一项重要综述

K. Bonfils, Lauren M. Bouchard, M. Kukla, A. P. Miller, Alan B. McGuire
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引用次数: 2

摘要

精神卫生保健的低出席率导致时间,金钱和治疗收益的损失。这方面的先前审查没有考虑到研究的质量或出勤的不同定义。目前的综述提供了一个关键的变量评估与参与门诊精神卫生服务的精神病症状的消费者出勤,重点是研究质量和出勤的操作化。我们在EMBASE、MEDLINE、PsycINFO、CINAHL和Cochrane图书馆中检索了与诊断为精神障碍的个体参加精神卫生服务相关的实证文章。符合条件的文章由两位共同作者评定质量;对高质量的文章进行了深入的评论。28篇文章符合条件;11篇文章符合深入评审条件。确定了四种出勤结果类型,包括预测退学、投入时间、分类出勤和持续出勤。在高质量的文章中,治疗期间持续的药物使用始终与较低的出席率相关。需要更多高质量的研究,使用系统定义的结果类型来确定出勤的可靠关联。通常测试的变量,如人口统计数据,在预测出席率方面用处不大。未来在这一领域的研究应扩大目前的研究结果,关注临床和理论相关的变量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlates of attendance in mental health services for individuals with psychotic disorders: A critical review
ABSTRACT Low attendance to mental health care results in loss of time, money, and treatment gains. No prior review in this area has taken into account the quality of studies or varying definitions of attendance. The current review provides a critical evaluation of variables associated with attendance in consumers with psychotic symptoms participating in outpatient mental health services, with a focus on study quality and operationalization of attendance. EMBASE, MEDLINE, PsycINFO, CINAHL, and the Cochrane Library were searched for empirical articles relevant to attendance to mental health services by individuals diagnosed with a psychotic disorder. Eligible articles were rated for quality by two coauthors; high-quality articles were reviewed in-depth. Twenty-eight articles were eligible; 11 articles qualified for in-depth review. Four attendance outcome types were identified, including the prediction of dropout, time engaged, categorical attendance, and continuous attendance. Ongoing substance use during treatment was consistently associated with lower attendance in high-quality articles. More high-quality research using systematically defined outcome types is needed to identify reliable associations with attendance. Commonly tested variables such as demographics show little utility in predicting attendance. Future research in this area should expand upon current findings focusing on clinically and theoretically relevant variables.
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