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      Medical School Experiences Associated with Change in Implicit Racial Bias Among 3547 Students: A Medical Student CHANGES Study Report

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          Abstract

          BACKGROUND

          Physician implicit (unconscious, automatic) bias has been shown to contribute to racial disparities in medical care. The impact of medical education on implicit racial bias is unknown.

          OBJECTIVE

          To examine the association between change in student implicit racial bias towards African Americans and student reports on their experiences with 1) formal curricula related to disparities in health and health care, cultural competence, and/or minority health; 2) informal curricula including racial climate and role model behavior; and 3) the amount and favorability of interracial contact during school.

          DESIGN

          Prospective observational study involving Web-based questionnaires administered during first (2010) and last (2014) semesters of medical school.

          PARTICIPANTS

          A total of 3547 students from a stratified random sample of 49 U.S. medical schools.

          MAIN OUTCOME(S) AND MEASURE(S)

          Change in implicit racial attitudes as assessed by the Black-White Implicit Association Test administered during the first semester and again during the last semester of medical school.

          KEY RESULTS

          In multivariable modeling, having completed the Black-White Implicit Association Test during medical school remained a statistically significant predictor of decreased implicit racial bias (−5.34, p ≤ 0.001: mixed effects regression with random intercept across schools). Students' self-assessed skills regarding providing care to African American patients had a borderline association with decreased implicit racial bias (−2.18, p = 0.056). Having heard negative comments from attending physicians or residents about African American patients (3.17, p = 0.026) and having had unfavorable vs. very favorable contact with African American physicians (18.79, p = 0.003) were statistically significant predictors of increased implicit racial bias.

          CONCLUSIONS

          Medical school experiences in all three domains were independently associated with change in student implicit racial attitudes. These findings are notable given that even small differences in implicit racial attitudes have been shown to affect behavior and that implicit attitudes are developed over a long period of repeated exposure and are difficult to change.

          Related collections

          Most cited references64

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          Measuring individual differences in implicit cognition: the implicit association test.

          An implicit association test (IAT) measures differential association of 2 target concepts with an attribute. The 2 concepts appear in a 2-choice task (2-choice task (e.g., flower vs. insect names), and the attribute in a 2nd task (e.g., pleasant vs. unpleasant words for an evaluation attribute). When instructions oblige highly associated categories (e.g., flower + pleasant) to share a response key, performance is faster than when less associated categories (e.g., insect & pleasant) share a key. This performance difference implicitly measures differential association of the 2 concepts with the attribute. In 3 experiments, the IAT was sensitive to (a) near-universal evaluative differences (e.g., flower vs. insect), (b) expected individual differences in evaluative associations (Japanese + pleasant vs. Korean + pleasant for Japanese vs. Korean subjects), and (c) consciously disavowed evaluative differences (Black + pleasant vs. White + pleasant for self-described unprejudiced White subjects).
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            Implicit Bias among Physicians and its Prediction of Thrombolysis Decisions for Black and White Patients

            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.
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              Understanding and using the Implicit Association Test: II. Method variables and construct validity.

              The Implicit Association Test (IAT) assesses relative strengths of four associations involving two pairs of contrasted concepts (e.g., male-female and family-career). In four studies, analyses of data from 11 Web IATs, averaging 12,000 respondents per data set, supported the following conclusions: (a) sorting IAT trials into subsets does not yield conceptually distinct measures; (b) valid IAT measures can be produced using as few as two items to represent each concept; (c) there are conditions for which the administration order of IAT and self-report measures does not alter psychometric properties of either measure; and (d) a known extraneous effect of IAT task block order was sharply reduced by using extra practice trials. Together, these analyses provide additional construct validation for the IAT and suggest practical guidelines to users of the IAT.
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                Author and article information

                Contributors
                vanryn.michelle@mayo.edu
                Journal
                J Gen Intern Med
                J Gen Intern Med
                Journal of General Internal Medicine
                Springer US (New York )
                0884-8734
                1525-1497
                1 July 2015
                1 July 2015
                December 2015
                : 30
                : 12
                : 1748-1756
                Affiliations
                [ ]Mayo Clinic College of Medicine, Rochester, MN USA
                [ ]University of Minnesota, Minneapolis, MN USA
                [ ]Center for Chronic Disease Outcomes Research, Minneapolis Veterans Affairs Medical Center, Minneapolis, MN USA
                [ ]Yale University, New Haven, CT USA
                [ ]University of Vermont, Burlington, VT USA
                Article
                3447
                10.1007/s11606-015-3447-7
                4636581
                26129779
                b7ab726b-1639-47f0-abcb-0d4be7ad0d75
                © The Author(s) 2015

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 26 November 2014
                : 18 May 2015
                : 2 June 2015
                Categories
                Original Research
                Custom metadata
                © Society of General Internal Medicine 2015

                Internal medicine
                disparities,medical education,implicit racial bias,physician–patient relations,attitude of health personnel

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