Summary measures of population health

在过去十年中，人口健康汇总指标的制定、计算和使用显著增加，其中综合了关于死亡率和非胎儿健康结果的信息。这项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对不同的汇总衡量标准进行评价，例如，如果人口的特定年龄死亡率下降，则要求汇总衡量标准应有所改进，等等。新的基于人口的数据将被收集到所有健康汇总衡量标准的关键输入之一，即对比完美健康更差的健康状态的评估。丹麦将在一项具有全国代表性的抽样调查中收集对一系列不同州的评估，以及关于各领域自我报告的健康状况、一般健康状况、社会人口学特征以及通过记录联系、医疗诊断和治疗结果的丰富数据。将对健康状况评价与健康各个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，以研究不同健康领域的估值如何随年龄和其他社会经济变量的变化而变化。丹麦的全国调查还将提供与比较自我报告的健康状况衡量标准和观察到的健康状况衡量标准的项目的链接，从而能够估计自我报告的健康状况和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，该项目是在坦桑尼亚和墨西哥的实地地点进行的一系列试点测试，目的是将卫生状况评估方案推广到发展中国家。利用卫生组织2000年全球疾病负担网络提供的卫生状况评估数据和流行病学数据，将计算各种综合衡量标准。将开发模拟算法来估计作为不确定的流行病学和偏好输入的函数的汇总措施的可信区间。

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.