精神健康和物质使用障碍的关键绩效指标:文献综述和讨论文件

C. Henderson, J. Klimas, C. Dunne, D. Leddin, D. Meagher, T. O'toole, W. Cullen
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引用次数: 5

摘要

随着人们越来越认识到精神和物质使用障碍对人口健康和卫生系统的重要性,以及基于系统的绩效指标在解决这一问题方面的潜在价值,我们旨在描述精神和物质使用障碍关键绩效指标的发展和内容。出版物是通过官方网站、谷歌搜索和PubMed确定的。遵循“PRISMA”指南,25项研究用于定性合成,6项用于定量分析。我们通过比较它们在一系列公共和混合医疗保健系统中的应用来描述它们在实践中的使用。目前,精神和物质使用障碍的关键绩效指标制定采用了几种方法,包括专家意见、文献审查、利益攸关方协商和结构化共识法。在不同的系统之间,选择特定关键绩效指标的依据差别很大。系统表现出不同程度的关键绩效指标适应性,这反映了循证实践的动态变化。我们注意到,在关键绩效指标评估水平上,偏向于系统/健康计划评估,然后是项目/服务评估。同样,反映过程评价的关键绩效指标也有很大的倾斜。所有系统的数据收集几乎完全依赖于电子管理/医疗数据。这些系统的经验被综合成方法学建议,并为进一步的研究和临床实践提供了考虑。
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Key performance indicators for mental health and substance use disorders: a literature review and discussion paper
With increasing recognition of the importance of mental and substance use disorders for population health and health systems and the potential value of systems-based performance indicators in addressing this issue, we aimed to describe the development and content of key performance indicators for mental and substance use disorders. Publications were identified through official websites, Google searches and PubMed. Following ‘PRISMA’ guidelines, twenty-five studies were kept for qualitative synthesis and six for quantitative analysis. We describe their use in practice by comparing their application across a range of public and mixed healthcare systems. Currently, key performance indicator development for mental and substance use disorders adopts several methodologies, including expert opinion, literature review, stakeholder consultation and the structured consensus method. The rationales provided for selection of particular key performance indicators vary greatly between systems. Systems exhibit different levels of key performance indicator adaptability, which is reflective of dynamic changes in evidence-based practices. We noted bias in the level of key performance indicator assessment towards system/health plan evaluation followed by programme/service evaluation. Similarly, there is a large skew towards key performance indicators that reflect evaluation of processes. Collection of data in all systems is nearly exclusively reliant on electronic administrative/medical data. Experiences from these systems are synthesized into methodological recommendations, and considerations for further research and clinical practice are provided.
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