对当前心理健康服务需求和等待名单管理方法的系统回顾

IF 1 Q4 PSYCHIATRY
Kerry A. Thomas, Annelise M. Schroder, D. Rickwood
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引用次数: 8

摘要

目的及时获得有效治疗是心理健康服务的首要目标;然而,当需求超过可用资源时,服务可能会将客户端列入等待名单或限制服务。本文旨在确定心理健康服务机构用于管理服务需求和等待名单的方法。设计/方法/方法使用Medline、PsycINFO、CINAHL、Embase和Cochrane数据库对2009年至2019年的研究文献进行了综述。根据纳入标准对文章进行筛选和评估,并使用混合方法评估工具评估纳入研究的方法学质量。发现总共有20篇文章符合入选标准。确定了五种需求管理方法,即预约模式、分诊流程、多学科护理、患者主导的方法和服务提供变化。研究局限性/影响本审查确定了服务部门可以考虑适应当地环境的有效方法;然而,还需要进一步的研究来证明在这些模式下提供的服务的临床有效性。独创性/价值这篇综述详细介绍了服务部门为管理需求而采取的策略,并在可用的情况下与传统服务提供模式进行了比较,为心理健康护理服务提供做出了宝贵贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A systematic review of current approaches to managing demand and waitlists for mental health services
Purpose Timely access to effective treatment is a primary goal for mental health services; however, when demand exceeds available resources, services may place clients on a waitlist or restrict services. This paper aims to identify approaches used by mental health services to manage service demand and waitlists. Design/methodology/approach A review of research literature between 2009 and 2019 was conducted using the Medline, PsycINFO, CINAHL, Embase and Cochrane databases. Articles were screened and assessed against inclusion criteria and the methodological quality of included studies was assessed using the Mixed Methods Appraisal Tool. Findings In total, 20 articles were located that met the inclusion criteria. Five demand management approaches were identified, namely, walk-in models, triage processes, multi-disciplinary care, patient-led approaches and service delivery changes. Research limitations/implications This review identifies effective approaches that services can consider adapting to their local setting; however, further research is needed to demonstrate the clinical effectiveness of services provided under these models. Originality/value This review makes a valuable contribution to mental health care service delivery by detailing the strategies that services have adopted to manage demand and, where available, comparative outcomes with traditional service delivery models.
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来源期刊
CiteScore
2.20
自引率
8.30%
发文量
32
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