Reimagining Merit and Representation: Promoting Equity and Reducing Bias in GME Through Holistic Review
| Autor: | Christine Wells, Sonya M Shadravan, Nicolás E Barceló, Katrina DeBonis, Yvonne S. Yang, Nichole Goodsmith, Trevor R. Shaddox, Brittany Tarrant, Eraka Bath |
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| Rok vydání: | 2020 |
| Předmět: |
Medical education
020205 medical informatics media_common.quotation_subject Equity (finance) Rubric 02 engineering and technology General Medicine Odds ratio Logistic regression Education Odds 03 medical and health sciences Psychiatry and Mental health 0302 clinical medicine Promotion (rank) 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine Psychology Selection (genetic algorithm) Diversity (business) media_common |
| Zdroj: | Academic Psychiatry. 45:34-42 |
| ISSN: | 1545-7230 1042-9670 |
| DOI: | 10.1007/s40596-020-01327-5 |
| Popis: | This study aims to evaluate the capacity of a holistic review process in comparison with non-holistic approaches to facilitate mission-driven recruitment in residency interview screening and selection, with particular attention to the promotion of race equity for applicants underrepresented in medicine (URM). Five hundred forty-seven applicants to a psychiatry residency program from US allopathic medical schools were evaluated for interview selection via three distinct screening rubrics—one holistic approach (Holistic Review; HR) and two non-holistic processes: Traditional (TR) and Traditional Modified (TM). Each applicant was assigned a composite score corresponding to each rubric, and the top 100 applicants in each rubric were identified as selected for interview. Odds ratios (OR) of selection for interview according to URM status and secondary outcomes, including clinical performance and lived experience, were measured by analysis of group composition via univariate logistic regression. Relative to Traditional, Holistic Review significantly increased the odds of URM applicant selection for interview (TR-OR: 0.35 vs HR-OR: 0.84, p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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