政策和指标,以操作化结构性种族主义的定量健康研究
Talha Ali1, Kristi L Allgood2,3,4, Belinda Needham2,3
1Department of Community Health, Tufts University, Medford, MA.
American journal of epidemiology
|August 7, 2024
概括
这项研究通过将歧视性政策与健康不平等联系起来,扩大了对卫生研究中的结构性种族主义的测量. 它提供了量化结构性种族主义的工具.
科学领域:
- 公共卫生 公共卫生
- 健康 公平 研究 健康 公平 研究
- 卫生社会学 卫生社会学
背景情况:
- 对结构性种族主义对健康的影响的实证研究正在增长,但测量依赖于有限的基于区域的指标.
- 现有的措施不能完全捕捉到结构性种族主义对种族和民族健康差异的影响的广度.
- 需要扩大用于量化公共卫生中的结构性种族主义的方法.
研究的目的:
- 提出和展示扩大公共卫生研究中的结构性种族主义测量方法.
- 将歧视性政策与结构性种族主义指标以及随后的健康不平等联系起来.
- 为研究人员提供实用工具,为他们在结构性种族主义和健康方面开发强有力的经验证据基础.
主要方法:
- 在歧视性政策的历史背景下定位结构性种族主义指标.
- 扩大结构性种族主义区域级指标的范围,超出目前的文献范围.
- 制定和介绍歧视性联邦政策的清单和常见/新型结构性种族主义指标.
- 提供政策和指标连接的应用例子.
主要成果:
- 这篇论文为更全面地衡量结构性种族主义提供了一个框架.
- 它提供了广泛的歧视性联邦政策列表和各种指标.
- 一个实用的例子表明了政策,指标和健康不平等之间的联系.
结论:
- 通过政策背景和更广泛的指标扩大对结构性种族主义的测量是至关重要的.
- 拟议的工具将增强了解健康不平等的经验证据基础.
- 这项工作促进了对结构性种族主义对人口健康影响的定量研究.
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