Instruments for racial health equity: a scoping review of structural racism measurement, 2019-2021.

Anna K Hing, Tongtan Chantarat, Shekinah Fashaw-Walters, Shanda L Hunt, Rachel R Hardeman
Author Information
  1. Anna K Hing: Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, United States.
  2. Tongtan Chantarat: Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, United States. ORCID
  3. Shekinah Fashaw-Walters: Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, United States.
  4. Shanda L Hunt: University Libraries, University of Minnesota, Minneapolis, MN, United States.
  5. Rachel R Hardeman: Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN, United States.

Abstract

Progress toward racial health equity cannot be made if we cannot measure its fundamental driver: structural racism. As in other epidemiologic studies, the first step is to measure the exposure. But how to measure structural racism is an ongoing debate. To characterize the approaches epidemiologists and other health researchers use to quantitatively measure structural racism, highlight methodological innovations, and identify gaps in the literature, we conducted a scoping review of the peer-reviewed and gray literature published during 2019-2021 to accompany the 2018 published work of Groos et al., in which they surveyed the scope of structural racism measurement up to 2017. We identified several themes from the recent literature: the current predominant focus on measuring anti-Black racism; using residential segregation as well as other segregation-driven measures as proxies of structural racism; measuring structural racism as spatial exposures; increasing calls by epidemiologists and other health researchers to measure structural racism as a multidimensional, multilevel determinant of health and related innovations; the development of policy databases; the utility of simulated counterfactual approaches in the understanding of how structural racism drives racial health inequities; and the lack of measures of antiracism and limited work on later life effects. Our findings sketch out several steps to improve the science related to structural racism measurements, which is key to advancing antiracism policies.

Keywords

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Grants

  1. 79238/Robert Wood Johnson Foundation Evidence for Action

MeSH Term

Humans
Health Equity
Racism
Systemic Racism

Word Cloud

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