Summary measures of population health

在过去十年中，人口健康汇总计量方法的制定、计算和使用显著增加，其中结合了关于死亡率和非胎儿健康结果的联合收割机信息。本研究旨在改进计算汇总计量的概念、方法和经验基础。起点将是按照一套基本标准评价不同的汇总计量沿着，例如，如果人口中按年龄分列的死亡率下降，其他条件不变，则汇总计量应得到改进。将收集新的基于人口的数据，这些数据是所有健康汇总指标的关键输入之一，即比完美健康更差的健康状态的名称估值。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评价，沿着关于各领域自我报告的健康状况的一套丰富数据，包括一般健康状况、社会人口特征，以及通过记录联系收集的医疗诊断和治疗结果。将对卫生状况评价与卫生各领域业绩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着年龄和其他社会经济变量而变化。丹麦的全国调查还将提供一个与比较自我报告和观察到的健康状况衡量标准的项目的联系，从而能够估计自我报告的健康状况与健康状况评价之间的关系。丹麦研究的结果将为该项目的下一阶段提供信息，该阶段将在坦桑尼亚和墨西哥的实地进行一系列试点测试，目的是将健康状况评估规程推广到发展中国家。将利用卫生组织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，计算各种汇总计量。将开发模拟算法，以估计作为不确定流行病学和偏好输入函数的汇总措施的置信区间。

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.