Summary measures of population health

在过去的十年中，人口健康汇总指标的开发、计算和使用显着增加，这些指标结合了死亡率和非胎儿健康结果的信息。本研究旨在改进汇总措施计算的概念、方法和实证基础。起点将是根据一组基本标准评估不同的汇总衡量标准，例如在其他条件不变的情况下，如果人口中的特定年龄死亡率下降，则要求汇总衡量指标应得到改进。将收集新的基于人口的数据，作为所有健康汇总指标的关键输入之一，对健康状况比完美健康状况更差的名称进行评估。丹麦的一项全国代表性抽样调查将收集一系列不同州的估值，以及各领域自我报告健康状况的丰富数据，包括一般健康状况、社会人口特征，以及通过记录链接、医疗诊断和治疗结果。将分析健康状况评估与各个健康领域表现之间的关系。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着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一个链接，用于比较自我报告和观察到的健康状况指标，从而评估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进行一系列试点测试，其目标是将健康状况评估协议扩展到发展中国家。利用世界卫生组织全球疾病负担 2000 年网络产生的健康状况评估数据和流行病学数据，将计算各种汇总指标。将开发模拟算法来估计汇总测量的置信区间，作为不确定的流行病学和偏好输入的函数。

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.