Evidence map›Paper›PMID 25277068›Full record

ArticleBMC health services research2014

Physicians' knowledge, beliefs, and use of race and human genetic variation: new measures and insights.

Vence L Bonham, Sherrill L Sellers, Sam Woolford

Abstract read
In one paragraph

Article in BMC health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Educational considerations based on medical student use of polygenic risk information and apparent race in a simulated consultation.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
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  19. Nurses' Use of Race in Clinical Decision Making.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2016
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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

3 authors.

Vence L BonhamSocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, Bethesda, MD 20892, USA. bonhamv@nhgri.nih.gov.
Sherrill L Sellers
Sam Woolford

Funding

Understanding the Relationships between Race, Ethnicity, Ancestry and GenomicsZIAHG200324 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BONHAM, VENCE L · 2009 to 2025
$3.5M
Intramural NIH HHS ZIA HG200324NHGRI NIH HHS ZIA HG200324-07
6 · The paper itself

Abstract

backgroundUnderstanding physician perspectives on the intersection of race and genomics in clinical decision making is critical as personalized medicine and genomics become more integrated in health care services. There is a paucity of literature in the United States of America (USA) and globally regarding how health care providers understand and use information about race, ethnicity and genetic variation in their clinical decision making. This paper describes the development of three scales related to addressing this gap in the literature: the Bonham and Sellers Genetic Variation Knowledge Assessment Index--GKAI, Health Professionals Beliefs about Race-HPBR, and Racial Attributes in Clinical Evaluation-RACE scales.

methodsA cross-sectional, web survey of a national random sample of general internists in the USA (N = 787) was conducted. Confirmatory factor analysis was used to assess the construct validity of the scales. Scale items were developed through focus groups, cognitive interviews, expert advisory panels, and exploratory factor analysis of pilot data.

resultsGKAI was measured as a count of correct answers (Mean = 3.28 SD = 1.17). HPBR yielded two domains: beliefs about race as a biological phenomenon (HPBR-BD, alpha = .69, 4 items) and beliefs about the clinical value of race and genetic variation for understanding risk for disease (HPBR-CD alpha = .61, 3 items). RACE yielded one factor (alpha = .86, 7 items).

conclusionsGKAI is a timely knowledge scale that can be used to assess health professional knowledge of race and human genetic variation. HPBR is a promising new tool for assessing health professionals' beliefs about the role of race and its relationship with human genetic variation in clinical practice. RACE offers a valid and reliable tool for assessing explicit use of racial attributes in clinical decision making.

Indexed as

Genetic VariationHealth Knowledge, Attitudes, PracticeCross-Sectional StudiesData CollectionFemaleHumansInternal MedicineMaleMiddle AgedPhysiciansRacial Groups

Identifiers

PMID25277068
PMCPMC4283084

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.