Implicit Bias Among Physicians and Its Prediction of Thrombolysis Decisions for Black and White Patients

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Implicit Bias Among Physicians and Its Prediction of Thrombolysis Decisions for Black and White Patients

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dc.contributor.author Green, Alexander
dc.contributor.author Pallin, Daniel
dc.contributor.author Ngo, Long
dc.contributor.author Iezzoni, Lisa
dc.contributor.author Banaji, Mahzarin
dc.contributor.author Raymond, Kristal L.
dc.contributor.author Carney, Dana R.
dc.date.accessioned 2009-07-08T13:53:26Z
dc.date.issued 2007
dc.identifier.citation Green, Alexander R., Dana R. Carney, Daniel J. Pallin, Long H. Ngo, Kristal L. Raymond, Lisa I. Iezzoni, and Mahzarin R. Banaji. 2007. Implicit bias among physicians and its prediction of thrombolysis decisions for black and white patients. Journal of General Internal Medicine 22(9): 1231-1238. en
dc.identifier.issn 0884-8734 en
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:3153317
dc.description.abstract Context: Studies 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. Objective: To 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 Participants: An 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 Measures: IAT 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. Results: Physicians 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). Conclusions: This 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. en
dc.description.sponsorship Psychology en
dc.language.iso en_US en
dc.publisher Springer Verlag en
dc.relation.isversionof http://dx.doi.org/10.1007/s11606-007-0258-5 en
dc.relation.hasversion http://www.people.fas.harvard.edu/~banaji/research/Publications/Pub_set.html en
dash.license META_ONLY
dc.subject disparities en
dc.subject clinical decisions en
dc.subject race en
dc.subject thrombolysis en
dc.subject unconscious bias en
dc.title Implicit Bias Among Physicians and Its Prediction of Thrombolysis Decisions for Black and White Patients en
dc.type Journal Article
dc.description.version Version of Record
dc.relation.journal Journal of General Internal Medicine en
dash.depositing.author Banaji, Mahzarin
dash.embargo.until 10000-01-01

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  • FAS Scholarly Articles [5133]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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