SHARPening Residency Selection: Implementing a Systematic Holistic Application Review Process

Author:

Igarabuza Laura1,Gusoff Geoffrey M.2,Maharaj-Best Ayiti-Carmel3,Baylson Margaret J.4,Betancourt Renée M.5,Nicklin David E.6,Wang Jenny Y.7

Affiliation:

1. L. Igarabuzais assistant professor, Department of Family and Community Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania.

2. G.M. Gusoffis a fellow, National Clinician Scholars Program, University of California, Los Angeles, California.

3. A.-C. Maharaj-Bestis medical director, Planned Parenthood of Southern New England, New Haven, Connecticut.

4. M.J. Baylsonis associate professor, Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

5. R.M. Betancourtis assistant professor, Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

6. D.E. Nicklinis associate professor, Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

7. J.Y. Wangis assistant professor, Department of Family Medicine and Community Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Abstract

Abstract Problem Traditional metrics used in residency application review processes are systematically biased against applicants from minoritized communities that are underrepresented in medicine (URiM). These biases harm not just URiM applicants but also residency programs and patients. Although several residency programs have implemented holistic reviews to mitigate these biases, few tested tools exist that can be adapted and implemented in a wide variety of settings within academic medicine. Approach This article describes advances made in the third year of a longitudinal, ongoing quality improvement project that used the A3 framework to improve recruitment of URiM residents to a family medicine residency program. The authors devised a systematic holistic application review process (SHARP) to determine which applicants to invite to interview with the program. SHARP’s development began in August 2019, and after significant discussion with program leadership and iterations of rubric refinement, the program adopted SHARP in September 2020 to review applications for the 2021 application cycle. Outcomes Compared with the 2016 to 2020 period before SHARP implementation, data from the 2021 and 2022 residency application cycles after SHARP implementation showed a significant increase in the proportion of interviewed candidates who identify as URiM (from 23% to 38%, P < .001) and matched candidates who identify as URiM (from 27% to 62%, P = .004). There was also a notable increase in the number and diversity of reviewers who evaluated applicants to the program. Next Steps SHARP is a promising tool to mitigate the effects of racism and other biases against URiM applicants to residency programs. Residency programs across specialties may benefit from adopting SHARP and adapting it based on their own goals and priorities.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Education,General Medicine

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