Evidence map›Paper›PMID 35045967›Full record

ArticleAnnals of family medicine

Conceptualizing, Contextualizing, and Operationalizing Race in Quantitative Health Sciences Research.

Elle Lett, Emmanuella Asabor, Sourik Beltrán, Ashley Michelle Cannon, Onyebuchi A Arah

Abstract read
In one paragraph

Article in Annals of family medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 253 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
253citing papers in PubMed, 5 pooled it
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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

253 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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193 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Elle LettCenter for Health Equity Advancement, University of Pennsylvania, Philadelphia, Pennsylvania ellel@upenn.edu.
Emmanuella AsaborCenter for Health Equity Advancement, University of Pennsylvania, Philadelphia, Pennsylvania.
Sourik BeltránDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Ashley Michelle CannonTechnical Resources International, Bethesda, Maryland.
Onyebuchi A ArahDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California.

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
NICHD NIH HHS P2C HD041022
6 · The paper itself

Abstract

Differences in health outcomes across racial groups are among the most commonly reported findings in health disparities research. Often, these studies do not explicitly connect observed disparities to mechanisms of systemic racism that drive adverse health outcomes among racialized and other marginalized groups in the United States. Without this connection, investigators inadvertently support harmful narratives of biologic essentialism or cultural inferiority that pathologize racial identities and inhibit health equity. This paper outlines pitfalls in the conceptualization, contextualization, and operationalization of race in quantitative population health research and provides recommendations on how to appropriately engage in scientific inquiry aimed at understanding racial health inequities. Race should not be used as a measure of biologic difference, but rather as a proxy for exposure to systemic racism. Future studies should go beyond this proxy use and directly measure racism and its health impacts.

Indexed as

Health EquityPopulation HealthRacismHealth Status DisparitiesHumansSystemic RacismUnited Statescommunity/public healthdisparityepidemiologyinequityintersectionalityraceracism

Identifiers

PMID35045967
PMCPMC8959750

What OpenQuestion holds

Textmetadata
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.