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Published on: May 10, 2019
Developing an Index to Measure Structural Racism: Methodological Process, Challenges, and Considerations
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.
Developing measures of structural racism is crucial for health equity research. This paper details methodological challenges and offers a guide for creating ecological-level indices for Black and Hispanic populations.
Area of Science:
- Public Health
- Social Epidemiology
- Health Equity Research
Background:
- Addressing health inequities requires valid measures of structural racism.
- Existing ecological-level indices for structural racism affecting Black and Hispanic populations in the U.S. are limited.
- The National Institute on Minority Health and Health Disparities framework guided the development process.
Purpose of the Study:
- To describe the methodological process for developing an ecological-level structural racism index.
- To document substantive methodological and data-related challenges encountered.
- To provide a guide for researchers developing similar indices.
Main Methods:
- A modified Delphi consensus process involving diverse experts (social epidemiologists, health inequality researchers, community members, economic inequality specialists, psychometricians).
- A five-step approach for extracting and harmonizing geographic-level data from public sources.
- Identification and selection of indicators for structural racism.
Main Results:
- Significant methodological and data challenges were encountered during index development.
- Key challenges include limited granular geographic data, poor data documentation, inconsistent reporting, and data adaptation difficulties.
- The paper focuses on the process and challenges rather than presenting a finalized index.
Conclusions:
- Developing ecological measures of structural racism is complex and data-intensive.
- Transparency, adaptability, and rigorous data selection are critical for advancing public health equity research.
- This paper serves as a methodological guide and cautionary account for future research.
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