Evidence map›Paper›PMID 36935165›Full record

ArticleAmerican journal of preventive medicine2023

Race-Based Care and Beliefs Regarding the Etiology of Racial Differences in Health Outcomes.

Ebiere Okah, Peter F Cronholm, Brendan Crow, Anitra Persaud, Andrea Westby, Vence L Bonham

Open access · greenAbstract read
In one paragraph

Article in American journal of preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 5 institutions in 1 country.

Ebiere OkahDepartment of Family Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Department of Family Medicine and Community Health, School of Medicine, University of Minnesota, Minneapolis, Minnesota. Electronic address: ebiere@umn.edu.
Peter F CronholmDepartment of Family Medicine and Community Health, University of Pennsylvania, Philadelphia, Pennsylvania; The Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, Pennsylvania; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania.
Brendan CrowFamily Medicine Residency Program, Mountain Area Health Education Center (MAHEC), Asheville, North Carolina.
Anitra PersaudPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania; National Human Genome Research Institute, NIH, Bethesda, Maryland.
Andrea WestbyDepartment of Family Medicine and Community Health, School of Medicine, University of Minnesota, Minneapolis, Minnesota.
Vence L BonhamNational Human Genome Research Institute, NIH, Bethesda, Maryland.
National Human Genome Research Institute · USCommunity Initiatives · USMountain Area Health Education Center · USUniversity of Minnesota · USUniversity of North Carolina at Chapel Hill · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Understanding the Relationships between Race, Ethnicity, Ancestry and GenomicsZIAHG200324 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BONHAM, VENCE L · 2009 to 2025
$3.5M
Understanding the Relationships between Race, Ethnicity, Ancestry and GenomicsZ01HG200324 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BONHAM, VENCE L · 2005 to 2008
$827k
Intramural NIH HHS Z01 HG200324NCATS NIH HHS UL1 TR002494
6 · The paper itself

Abstract

introductionPhysicians' perspectives regarding the etiology of racial health differences may be associated with their use of race in clinical practice (race-based practice). This study evaluates whether attributing racial differences in health to genetics, culture, or social conditions is associated with race-based practice.

methodsThis is a cross-sectional analysis, conducted in 2022, of the Council of Academic Family Medicine Education Research Alliance 2021 general membership survey. Only actively practicing U.S. physicians were included. The survey included demographic questions; the Racial Attributes in Clinical Evaluation (RACE) scale (higher scores imply greater race-based practice); and 3 questions regarding beliefs that racial differences in genetics, culture (e.g., health beliefs), or social conditions (e.g., education) explained racial differences in health. Three multivariable linear regressions were used to evaluate the relationship between RACE scores and beliefs regarding the etiology of racial differences in health.

resultsOf the 4,314 survey recipients, 949 (22%) responded, of whom 689 were actively practicing U.S. physicians. In multivariable regressions controlling for age, gender, race, ethnicity, and practice characteristics, a higher RACE score was associated with a greater belief that differences in genetics (β=3.57; 95% CI=3.19, 3.95) and culture (β=1.57; 95% CI=0.99, 2.16)-in but not social conditions-explained differences in health.

conclusionsPhysicians who believed that genetic or cultural differences between racial groups explained racial differences in health outcomes were more likely to use race in clinical care. Further research is needed to determine how race is differentially applied in clinical care on the basis of the belief in its genetic or cultural significance.

Indexed as

PhysiciansRacial GroupsCross-Sectional StudiesHumansOutcome Assessment, Health CareRace Factors

Identifiers

PMID36935165
PMCPMC10031413
OpenAlexW4319763371

What OpenQuestion holds

Textmetadata
LicenceTDM
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.