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Comparison of the Multiple Mini-Interview and the Traditional Interview in Medical School Admissions: Lessons Learned
Madeline Abrams1, Doreen M Olvet2, Lisa Ellenbogen3
1M. Abrams is a first-year resident, Department of Internal Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
Purpose:
Medical school admissions interviews are a critical form of assessment; however, the most effective interview strategy is debated. This study compares the traditional interview (TI) and multiple mini-interview (MMI) within a hybrid TI-MMI model at one medical school to determine whether the interview approaches reveal different information about applicants and whether a hybrid model results in a more diversified applicant pool.
Method:
Admissions data from 3 application cycles at the Donald and Barbara Zucker School of Medicine at Hofstra/Northwell were used. The TI was used in 2017-2018 and the hybrid TI-MMI model in 2018-2019 and 2019-2020. Applicants were scored on a 5-point scale and referred to a voting committee for acceptance consideration if interview scores met threshold criteria. Changes in the number of students referred to the committee using the TI vs the TI-MMI score criteria were analyzed.
Results:
In 2017-2018 (TI only), 683 applicants were interviewed; in 2018-2019 (TI-MMI), 844 applicants were interviewed; and in 2019-2020 (TI-MMI), 805 applicants were interviewed. Medium correlations were found between total MMI and TI scores in 2018-2019 ( ρ = 0.37, P < .001) and 2019-2020 ( ρ = 0.33, P < .001). No differences were found in TI scores between 2017-2018 and 2018-2019 ( P = .30), but TI scores were significantly lower in 2019-2020 vs 2017-2018 ( P < .001) and 2018-2019 ( P = .002). Overall, a 10% to 18% increase was found in the number of applicants referred to the voting committee when using hybrid criteria, with a 19% to 27% increase in underrepresented in medicine applicants.
Conclusions:
The TI-MMI model may allow for a more holistic interview approach and an expanded pool of applicants, particularly underrepresented in medicine applicants, considered for acceptance.
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