System Performance Measurement: Implications for Service Planning

M. Fleury
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引用次数: 2

Abstract

152 IMPROVING PERFORMANCE OF HEALTH and social services is imperative in the face of increasing population needs, complex and chronic patient profiles, and resource scarcity. These three related articles (Performance measurement in mental health and addictions systems: A scoping review; The experience of the treatment demand indicator in Europe: A common monitoring tool across 30 countries; A mixed-methods evaluation of the implementation of a performance measurement system for South Africa’s substance use treatment services) assess numerous system-level efforts undertaken in recent decades and aim at conceptualizing, implementing, and monitoring performance measurement, both in Canada and internationally. Urbanoski & Inglis (2019) report the results of a scoping review on performance measurement in mental health and addiction treatment systems, concluding that a wide variety of indicators is available to those designing a measurement system. Myers et al. (2019) extend this review to cover performance measurement systems for lowand middle-income countries (LMICs) such as South Africa, showing that it is feasible to implement performance measurement systems in LMICs if the system is acceptable, appropriate, and useful. Finally, Montanari et al. (2019) demonstrate the utility of implementing a common treatment demand indicator in Europe, across 30 countries. These articles suggest that performance indicators permit the follow-up and evaluation of system reforms focused on improving organizational efficiency and interdisciplinary teamwork, while implementing best practices geared toward better population health and patient recovery. Yet consensus is lacking around the meaning of performance: Conceptual frameworks vary according to the programs evaluated (e.g., substance use disorders [SUDs], mental disorders) and across countries. Donabedian’s Quality Framework, a simple and perhaps best-known model, integrates structure, process, and outcomes. Structure encompasses both organizational and provider characteristics and context, whereas process includes interactions between providers and patients regarding treatment. Outcomes relate to the effects of health care for both population and individual health status including patient satisfaction (Donabedian, 1972). COMMENTARY
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系统性能测量:服务规划的含义
152 .面对日益增长的人口需求、复杂的慢性病患者情况以及资源短缺,改善保健和社会服务的绩效势在必行。这三篇相关文章(心理健康和成瘾系统的绩效测量:范围审查;欧洲治疗需求指标的经验:30个国家的共同监测工具;对南非药物使用治疗服务绩效评估系统实施情况的混合方法评估了近几十年来在加拿大和国际上开展的许多系统级工作,旨在概念化、实施和监测绩效评估。Urbanoski和Inglis(2019)报告了一项关于心理健康和成瘾治疗系统绩效测量的范围审查的结果,结论是设计测量系统的人可以使用各种各样的指标。Myers等人(2019)将这一综述扩展到南非等中低收入国家(LMICs)的绩效评估体系,表明如果该体系是可接受的、适当的和有用的,那么在LMICs中实施绩效评估体系是可行的。最后,Montanari等人(2019)展示了在欧洲30个国家实施共同治疗需求指标的效用。这些文章表明,绩效指标允许跟踪和评价侧重于提高组织效率和跨学科团队合作的系统改革,同时实施面向更好的人口健康和患者康复的最佳做法。然而,对绩效的意义缺乏共识:概念框架因所评估的项目(如物质使用障碍、精神障碍)和不同国家而异。Donabedian的质量框架是一个简单的,也许是最著名的模型,它集成了结构、过程和结果。结构包括组织和提供者的特征和背景,而过程包括提供者和患者之间关于治疗的互动。结果与医疗保健对人群和个人健康状况(包括患者满意度)的影响有关(Donabedian, 1972)。评论
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