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Implicit Association Test Alone Is Not Sufficient to Increase Underrepresented Minority Representation in Physician
Darin Ryujin1,2,3,4,5,6,7,8,9,10, Doris Dalton1,2,3,4,5,6,7,8,9,10, Menerva Yole-Lobe1,2,3,4,5,6,7,8,9,10
1Darin Ryujin, MS, MPAS, is an associate professor, Associate Chair for Equity, Diversity and Inclusion, Division of Physician Assistant Studies, Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah.
Purpose:
Physician assistant (PA) program matriculants are consistently less diverse than the US population. This study evaluates whether administration of an Implicit Association Test (IAT) to PA program admission committees is associated with changes in the likelihood of (1) receiving an admission interview, (2) receiving an offer of admission, and (3) matriculation of individuals underrepresented in medicine (URiM).
Methods:
Admission committees from 4 PA programs participated in an IAT before the 2019/2020 admissions cycle. Applicant outcome data (n = 5796) were compared with 2018/2019 cycle (n = 6346). Likelihood of URiM students receiving offers to interview, offers of admission, and matriculation were evaluated using random effects multiple logistic regression models. Fully adjusted random effects models included URiM status, year (control vs. intervention), multiplicative interaction terms between URiM and year, applicant age, and undergraduate grade point average (GPA) Secondary analyses examined associations of each race/ethnicity individually.
Results:
Underrepresented in medicine status, age, and GPA were significantly associated with all admission outcomes ( P < .05). The intervention effect was not statistically significant. In sensitivity analyses examining each individual race rather than URiM status, our results did not importantly differ.
Conclusion:
Findings suggest admission committee member participation in IAT before admissions had no significant impact on the likelihood of admission of URiM students. This may suggest that making individuals aware of their implicit biases is not, in and of itself, sufficient to meaningfully affect the diversity of PA program admission metrics.
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