开发一个指数来衡量结构性种族主义:方法论过程,挑战和考虑
Christopher M Amissah1,2, Alisha A Crump1,3, Yu-Hua Fu1
1Department of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.
International journal of environmental research and public health
|February 27, 2026
概括
制定对结构性种族主义的测量措施对于健康公平研究至关重要. 这篇论文详细介绍了方法上的挑战,并为为黑人和西班牙裔人口创建生态水平指数提供了指南.
科学领域:
- 公共卫生 公共卫生
- 社会流行病学 社会流行病学
- 健康 公平 研究 健康 公平 研究
背景情况:
- 解决健康不平等问题需要有效的结构性种族主义措施.
- 现有的生态水平指标对结构性种族主义影响美国黑人和西班牙裔人口是有限的.
- 国家少数民族健康研究所和健康差异框架指导了开发过程.
研究的目的:
- 描述开发生态层面结构性种族主义指数的方法过程.
- 记录遇到的实质方法和数据相关挑战.
- 为开发类似指数的研究人员提供指南.
主要方法:
- 一个经过修改的Delphi共识过程,涉及各种各样的专家 (社会流行病学家,健康不平等研究人员,社区成员,经济不平等专家,心理学家).
- 从公共来源提取和协调地理层面数据的五步方法.
- 识别和选择结构性种族主义的指标.
主要成果:
- 在指数开发过程中遇到了重大的方法和数据挑战.
- 关键的挑战包括有限的细粒度地理数据,不良的数据文档,不一致的报告和数据适应困难.
- 这篇论文侧重于过程和挑战,而不是提出最终的索引.
结论:
- 开发结构性种族主义的生态测量是复杂的,数据密集的.
- 透明度,适应性和严格的数据选择对于推进公共卫生公平研究至关重要.
- 这篇论文是未来研究的方法指南和警告帐户.
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