Summary measures of population health

在过去十年中，人口健康综合指标的制定、计算和使用显著增加，这些指标结合了死亡率和非胎儿健康结果的信息。本研究旨在改进计算汇总措施的概念、方法和经验基础。起点将是根据一套基本标准评价不同的简要措施，例如，如果人口中特定年龄的死亡率下降，其他条件相同，则要求简要措施应有所改善。新的基于人口的数据将收集到所有健康总结措施的关键输入之一，即对健康状况不如完美的健康状态的名称评估。将在丹麦进行一项具有全国代表性的抽样调查，收集对一系列不同州的估价，以及关于各领域自我报告的健康状况的一套丰富数据：一般健康状况、社会人口特征，以及通过记录联系，医疗诊断和治疗结果。将对健康状况评估与各个卫生领域的绩效之间的关系进行分析。该项目的一个关键组成部分将是多变量分析，以审查不同健康领域的估值如何随年龄和其他社会经济变量而变化。丹麦的全国调查还将与比较自我报告的健康状况措施和观察到的健康状况措施的项目联系起来，从而可以估计自我报告的健康状况与健康状况评估之间的关系。丹麦研究的结果将为该项目的下一阶段提供信息，该阶段是在坦桑尼亚和墨西哥的实地地点进行一系列试点试验，目的是将健康状况评估规程推广到发展中国家。利用卫生组织2000年全球疾病负担网络提供的健康状况评估数据和流行病学数据，将计算各种综合措施。将开发模拟算法，以估计作为不确定的流行病学和偏好输入函数的汇总测量的置信区间。

In the past decade, there has been a marked increase in the development, calculation and use of summary measures of population health, which combine information on mortality and non-fetal health outcomes. This study seeks to improve the conceptual, methodological and empirical basis for the calculation of summary measures. The starting point will be the evaluation of different summary measures along a set of basic criteria, such as the requirement that a summary measure should improve if, for example, age-specific mortality in a population declines, ceteris paribus. New population-based data will be collected on one of the critical inputs to all summary measures of health, name valuations of health states worse than perfect health. Valuations of a range of different states, along with a rich set of data on self-reported health status in various domains general health status, socio-demographic characteristics and, through record linkage, , medial diagnoses and treatment outcomes, will be collected in a nationally-representative sample survey in Denmark. Analyses will be undertaken on the relationships between health state evaluations and performance in various domains of health. A critical component of the project will be multi-variate analyses to examine how valuations on different health domains may vary as a function of age and other socio- economic variables. The national survey in Denmark will also provide a link to the project on comparing self-reported and observed measures on health status, allow estimation of the relationships between self-reported health and health state valuations. The findings from the Denmark study will inform the next phase of this project, which is a series of pilot tests in field sites in Tanzania and Mexico with the objectives of extending health state valuation protocols to developing countries. Using the data on health state valuations and epidemiological data produced by the WHO Global Burden of Disease 2000 Network, various summary measures will be computed. Simulation algorithms will be developed to estimate confidence intervals around summary measures as a function of uncertain epidemiological and preference inputs.