A Standard Measure of Structural Racism, Do We Have One? Can We Have One? A Narrative Review of Commonly Used Measures and Domains of Use

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-09-16 DOI:10.1007/s40615-024-02179-7
Biplav Babu Tiwari, Carlyncia McDowell, Omar-Shariff Sandy Roberts, Steven Kogan, Zhuo “Adam” Chen, Janani Rajbhandari-Thapa
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Abstract

Background

A lack of a “gold standard” operationalized index to measure structural racism (SR) in the current literature limits the comparison of the evidence available. This study aims to synthesize the measures of SR from the current literature to identify the measures used to date, study the indicators included, and investigate its expanding domain.

Methods

A literature search of original quantitative studies in the Google Scholar and PubMed databases for articles dated January 1, 2000–July 31, 2023, was conducted with search terms: [“Institutionalized Racism” OR “Systemic Racism”, OR “Structural Racism”] AND “Health” AND “United States.” The studies were summarized and extracted based on the type of SR index used, the domains of SR incorporated, and the health outcomes studied.

Results

A total of 74 articles were included in the final review. The historical redlining score, G-statistics, index of concentration, and structural racism index were common quantifiable measures of SR. These indices capture 56 indicators across 11 significant domains to measure SR. Similarly, SR indices are being used mostly to study the impact of SR on cardiovascular diseases and other chronic health conditions, women’s and maternal health-related issues, and COVID-19 outcomes.

Conclusion

Multiple indices have been developed to capture SR, and since the COVID-19 pandemic, we have observed an increased interest in understanding health disparities through the lens of SR. With the rise in evidence on experiences of minority races related to racism, there is a high need for a standard approach to measuring SR.

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结构性种族主义的标准衡量标准,我们有吗?我们能有一个吗?常用衡量标准和使用领域的叙述性回顾
背景目前的文献中缺乏衡量结构性种族主义(SR)的 "黄金标准 "操作化指标,这限制了对现有证据的比较。本研究旨在综合目前文献中对结构性种族主义的测量方法,以确定迄今为止所使用的测量方法,研究其中包含的指标,并调查其不断扩大的领域。方法在谷歌学术和 PubMed 数据库中对 2000 年 1 月 1 日至 2023 年 7 月 31 日期间的原始定量研究进行文献检索,检索词为["制度化种族主义 "或 "系统性种族主义"]:[制度化种族主义 "或 "系统性种族主义 "或 "结构性种族主义"]和 "健康 "和 "美国"。根据所使用的系统性种族主义指数类型、纳入的系统性种族主义领域以及所研究的健康结果,对这些研究进行了总结和提取。历史红线分数、G 统计、集中指数和结构性种族主义指数是衡量社会责任的常见量化指标。这些指数涵盖了衡量社会责任的 11 个重要领域的 56 个指标。同样,SR 指数主要用于研究 SR 对心血管疾病和其他慢性疾病、妇女和孕产妇健康相关问题以及 COVID-19 结果的影响。随着与种族主义相关的少数种族经历证据的增加,我们亟需一种标准方法来衡量 SR。
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CiteScore
7.20
自引率
4.30%
发文量
567
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