当技术也是规范性时:使用基于浓度指数的指数对衡量卫生不平等进行批判性评估。

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Paul Contoyannis, Jeremiah Hurley, Marjan Walli-Attaei
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引用次数: 1

摘要

背景:基于集中指数的措施是估计与社会经济地位相关的健康不平等的最流行工具之一。近年来,开发了几种浓度指数的变体,旨在纠正标准浓度指数的不足,并越来越多地使用。这些变量,包括Wagstaff指数和Erreygers指数,具有重要的技术和规范差异。正文:在本研究中,我们对这些指标进行了非技术回顾和批判性评估。我们(i)讨论用于收入的测量工具在健康背景下应用时出现的困难,(ii)描述和说明这些指数的技术属性和规范属性之间的相互关系,(iii)讨论在确定指数估计值是否很大或具有政策意义时出现的挑战,以及(iv)评估研究实践与所使用指数属性的一致性。第(i)和(ii)部分讨论的问题包括支撑指数的不平等的不同概念,保持不平等不变的分布变化类型以及测量尺度和结果变量范围的重要性。这些概念用假设的例子来说明。对于第(iii)和(iv)部分,我们回顾了2015年至2017年间发表的44项实证研究,发现研究人员往往无法对指数估算提供有意义的解释。结论:我们提出了一系列问题,以方便进一步的敏感性分析,并提供更好的理解指数估计。我们还为研究人员和政策分析师提供指南,以促进使用这些指数对研究进行批判性评估,同时帮助应用研究人员选择具有他们所寻求的规范性属性的不平等衡量标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

When the technical is also normative: a critical assessment of measuring health inequalities using the concentration index-based indices.

When the technical is also normative: a critical assessment of measuring health inequalities using the concentration index-based indices.

When the technical is also normative: a critical assessment of measuring health inequalities using the concentration index-based indices.

When the technical is also normative: a critical assessment of measuring health inequalities using the concentration index-based indices.

Background: Concentration index-based measures are one of the most popular tools for estimating socioeconomic-status-related health inequalities. In recent years, several variants of the concentration index have been developed that are designed to correct for deficiencies of the standard concentration index and which are increasingly being used. These variants, which include the Wagstaff index and the Erreygers index, have important technical and normative differences.

Main body: In this study, we provide a non-technical review and critical assessment of these indices. We (i) discuss the difficulties that arise when measurement tools intended for income are applied in a health context, (ii) describe and illustrate the interrelationship between the technical and normative properties of these indices, (iii) discuss challenges that arise when determining whether index estimates are large or of policy significance, and (iv) evaluate the alignment of research practice with the properties of the indices used. Issues discussed in parts (i) and (ii) include the different conceptions of inequality that underpin the indices, the types of changes to a distribution which leave inequality unchanged and the importance of the measurement scale and range of the outcome variable. These concepts are illustrated using hypothetical examples. For parts (iii) and (iv), we reviewed 44 empirical studies published between 2015 and 2017 and find that researchers often fail to provide meaningful interpretations of the index estimates.

Conclusion: We propose a series of questions to facilitate further sensitivity analyses and provide a better understanding of the index estimates. We also provide a guide for researchers and policy analysts to facilitate the critical assessment of studies using these indices, while helping applied researchers to choose inequality measures that have the normative properties they seek.

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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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