Evidence map›Paper›PMID 41752282›Full record

ArticleInternational journal of environmental research and public health2026

Developing an Index to Measure Structural Racism: Methodological Process, Challenges, and Considerations.

Christopher M Amissah, Alisha A Crump, Yu-Hua Fu, Sheela Khadka, Jennifer Contreras, Salene M W Jones, Bryce B Reeve, Ester Villalonga-Olives

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Christopher M AmissahDepartment of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0002-3301-3233
Alisha A CrumpDepartment of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0002-7552-8964
Yu-Hua FuDepartment of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.
Sheela KhadkaDepartment of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.
Jennifer ContrerasDepartment of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.
Salene M W JonesHutchinson Institute for Cancer Outcomes Research (HICOR), Public Health Sciences Division, Fred Hutch, Seattle, WA 98109, USA.
Bryce B ReeveDepartment of Population Health Sciences, School of Medicine, Duke University, Durham, NC 27710, USA.ORCID 0000-0002-6709-8714
Ester Villalonga-OlivesDepartment of Practice, Sciences, and Health Outcomes Research, School of Pharmacy, University of Maryland, Baltimore, MD 21201, USA.ORCID 0000-0001-7418-4365

Funding

National Institute of Health R01MD019029
6 · The paper itself

Abstract

Access to valid and reliable measures of structural racism is essential for addressing health inequities, yet few validated ecological-level indices exist for assessing structural racism affecting Black and Hispanic populations in the United States. Guided by the National Institute on Minority Health and Health Disparities framework, our interdisciplinary team undertook the development of an ecological-level structural racism index. In the process, we encountered substantive methodological and data-related challenges that warrant explicit documentation. This paper describes the methodological process used to identify and select indicators of structural racism, including a modified Delphi consensus process involving social epidemiologists, health inequality researchers, community members, economic inequality specialists, and psychometricians. We outline a five-step approach for extracting and harmonizing geographic-level data from publicly available sources and discuss key challenges encountered, including limited availability of granular geographic data, insufficient data documentation guidelines, inconsistent reporting frequencies, and difficulties in adapting publicly available datasets for structural racism measurement. Rather than presenting a finalized index, this paper serves as a methodological guide and cautionary account for researchers seeking to develop ecological measures of structural racism, emphasizing the importance of transparency, adaptability, and rigorous data selection in advancing public health equity research.

Indexed as

RacismDelphi TechniqueHumansUnited Statesdata challengesDelphi processecological-level indexhealth disparitieshealth equityindex developmentmeasure developmentmethodological challengespsychometricsstructural racism

Identifiers

PMID41752282
PMCPMC12940407

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.