Evidence map›Paper›PMID 17594129›Full record

ArticleJournal of general internal medicine2007

Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients.

Alexander R Green, Dana R Carney, Daniel J Pallin, Long H Ngo, Kristal L Raymond, Lisa I Iezzoni, Mahzarin R Banaji

3 registry-linked trialsAbstract readComparative Study
In one paragraph

Article in Journal of general internal medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 436 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
436citing papers in PubMed, 6 pooled it
–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.

NCT02108041 completednot on this map

Medical Decision-Making in a Virtual Clinical Setting

TypeobservationalSponsorNational Human Genome Research Institute (NHGRI)Enrolled196ConditionsDeep Vein Thrombosis, Blood Clots
NCT05019131 nacompletednot on this mapstarted 2021, after this paper: background citation

Addressing Provider Stress and Unconscious Bias to Improve Quality of Maternal Health Care

TypeinterventionalSponsorUniversity of California, San FranciscoRan2021 to 2023Enrolled83ConditionsMaternal Health, Mental Health, Healthcare Provider, Adverse OutcomesArmsTraining, Peer support and mentorship, Leadership engagement, Embedded champions
NCT06085105 nacompletednot on this mapstarted 2024, after this paper: background citation

Caring for Providers to Improve Patient Experience (CPIPE) Study: A Cluster Randomized-controlled Trial to Assess the Impact of the CPIPE Intervention on Person-centered Maternity Care

TypeinterventionalSponsorUniversity of California, San FranciscoRan2024 to 2026Enrolled6,379ConditionsStress, Psychological, Maternal Health, Healthcare Provider, Adverse OutcomesArmsCPIPE Training, Peer support groups, Mentorship, Leadership engagement, Embedded champions
3 · Its place in the literature

Who cites it

436 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. COVID-19 Prevention Behaviors and Mistrust Among Black and Latino Public Housing Residents in NYC.Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Trial
  8. Article
  9. Article
  10. Implicit Bias in Health Professionals: A Scoping Review.International journal of environmental research and public health · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Patient-Perceived Physician Bias in Hidradenitis Suppurativa (HS).Journal of racial and ethnic health disparities · 2026
    Article
  19. Review
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Alexander R GreenThe Disparities Solutions Center, Massachusetts General Hospital, Harvard Medical School, 50 Staniford Street, Suite 901, Boston, MA 02114, USA. argreen@partners.org
Dana R Carney
Daniel J Pallin
Long H Ngo
Kristal L Raymond
Lisa I Iezzoni
Mahzarin R Banaji

Funding

NHLBI NIH HHS HL-0000013PHS HHS T32HP11001-15
6 · The paper itself

Abstract

contextStudies documenting racial/ethnic disparities in health care frequently implicate physicians' unconscious biases. No study to date has measured physicians' unconscious racial bias to test whether this predicts physicians' clinical decisions.

objectiveTo test whether physicians show implicit race bias and whether the magnitude of such bias predicts thrombolysis recommendations for black and white patients with acute coronary syndromes. DESIGN, SETTING, AND

participantsAn internet-based tool comprising a clinical vignette of a patient presenting to the emergency department with an acute coronary syndrome, followed by a questionnaire and three Implicit Association Tests (IATs). Study invitations were e-mailed to all internal medicine and emergency medicine residents at four academic medical centers in Atlanta and Boston; 287 completed the study, met inclusion criteria, and were randomized to either a black or white vignette patient.

main outcome measuresIAT scores (normal continuous variable) measuring physicians' implicit race preference and perceptions of cooperativeness. Physicians' attribution of symptoms to coronary artery disease for vignette patients with randomly assigned race, and their decisions about thrombolysis. Assessment of physicians' explicit racial biases by questionnaire.

resultsPhysicians reported no explicit preference for white versus black patients or differences in perceived cooperativeness. In contrast, IATs revealed implicit preference favoring white Americans (mean IAT score = 0.36, P < .001, one-sample t test) and implicit stereotypes of black Americans as less cooperative with medical procedures (mean IAT score 0.22, P < .001), and less cooperative generally (mean IAT score 0.30, P < .001). As physicians' prowhite implicit bias increased, so did their likelihood of treating white patients and not treating black patients with thrombolysis (P = .009).

conclusionsThis study represents the first evidence of unconscious (implicit) race bias among physicians, its dissociation from conscious (explicit) bias, and its predictive validity. Results suggest that physicians' unconscious biases may contribute to racial/ethnic disparities in use of medical procedures such as thrombolysis for myocardial infarction.

Indexed as

PrejudiceAdultBlack or African AmericanBlack PeopleCardiovascular DiseasesFemaleHumansMalePhysiciansPredictive Value of TestsSurveys and QuestionnairesThrombolytic TherapyWhite People

Identifiers

PMID17594129
PMCPMC2219763

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.