OECD, 2 Rue Andre Pascal, 75016 Paris, France.
Health Policy. 2013 Sep;112(1-2):4-8. doi: 10.1016/j.healthpol.2013.01.018. Epub 2013 Feb 21.
Countries are increasingly publishing health system performance statistics alongside those of their peers, to identify high performers and achieve a continuously improving health system. The aim of the paper is to identify, and discuss resolution of, some key methodological challenges, which arise when comparing health system performance. To illustrate the issues, we focus on two OECD flagship initiatives: the System of Health Accounts (SHA) and the Health Care Quality Indicators (HCQI) project and refer to two main actors: a coordinating agency, which proposes and collates performance data and second, data correspondents in constituent health systems, who submit data to the coordinating centre. Discussion is structured around two themes: a set of must-do's (legitimacy of the coordinating centre, validity of proposed indicators, feasibility of data collection and technical support for data correspondents) and a set of trade-offs (depth vs. breadth in the number of system elements compared, aggregation vs. granularity of data, flexibility vs. consistency of indicator definitions and inclusion criteria). Robust fulfillment of the must-do's and transparent resolution of the trade-offs both depend upon effective collaboration between the coordinating centre and data correspondents, and a close working relationship between a technical secretariat and a body of experts.
各国越来越多地公布卫生系统绩效统计数据,以与同行进行比较,确定表现出色的国家,并实现卫生系统的持续改进。本文的目的是确定并讨论在比较卫生系统绩效时出现的一些关键方法学挑战,并提出解决方案。为了说明这些问题,我们重点关注经合组织的两个旗舰倡议:卫生账户体系(SHA)和卫生保健质量指标(HCQI)项目,并提到两个主要行为者:一个协调机构,负责提出和整理绩效数据;第二个是组成卫生系统的数据通讯员,他们向协调中心提交数据。讨论围绕两个主题展开:一套必须做的事情(协调中心的合法性、拟议指标的有效性、数据收集的可行性以及数据通讯员的技术支持)和一系列权衡取舍(比较的系统要素数量的深度与广度、数据的聚合与粒度、指标定义和纳入标准的灵活性与一致性)。必须做的事情得到有力落实,权衡取舍得到透明解决,这都取决于协调中心和数据通讯员之间的有效合作,以及技术秘书处和专家团体之间的密切工作关系。