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多标准提问:促进多种族人群健康数据公平的反思性和批判性框架。

Asking MultiCrit Questions: A Reflexive and Critical Framework to Promote Health Data Equity for the Multiracial Population.

机构信息

School of Medicine, Stanford University.

Center for Population Health Sciences, School of Medicine, Stanford University.

出版信息

Milbank Q. 2024 Jun;102(2):398-428. doi: 10.1111/1468-0009.12696. Epub 2024 Feb 29.

Abstract

Policy Points Health equity work primarily centers monoracial populations; however, the rapid growth of the Multiracial population and increasingly clear health disparities affecting the people in that population complicate our understanding of racial health equity. Limited resources exist for health researchers and professionals grappling with this complexity, likely contributing to the relative dearth of health literature describing the Multiracial population. We introduce a question-based framework built on core principles from Critical Multiracial Theory (MultiCrit) and Critical Race Public Health Praxis, designed for researchers, clinicians, and policymakers to encourage health data equity for the Multiracial population.

摘要

政策要点 健康公平工作主要集中在单种族人群上;然而,多种族人口的迅速增长,以及日益明显的影响该人群健康的差异,使我们对种族健康公平的理解变得复杂。健康研究人员和专业人员在应对这种复杂性时所拥有的资源有限,这可能导致描述多种族人群的健康文献相对匮乏。我们引入了一个基于关键多种族理论(MultiCrit)和关键种族公共卫生实践核心原则的问题框架,旨在鼓励研究人员、临床医生和政策制定者为多种族人群实现健康数据公平。

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