Geographic and demographic trends with the initiation of virtual interviews in general surgery: A 7-program evaluation

Document Type

Article

Publication Date

7-9-2024

Publication Title

Surgery (United States)

Abstract

Background: Although most general surgery residency interviews remain virtual, the effect of this format remains understudied. Single-institution data have shown an increase in the number of applications received and interviews conducted with virtual interviewing but no change in the geographic backgrounds of interviewed or matched applicants. This study sought to compare national trends in geographic characteristics of general surgery applicants, interviewed applicants, and matched applicants between in-person and virtual application cycles. Study Design: A retrospective review of 7 general surgery residency programs from application years 2016–2019 (in-person) and 2020–2021 (virtual) was conducted. Data collected included birth year, sex, race, medical school state, and contact location at the time of application. Data were analyzed using generalized mixed effects linear models. Results: A total of 52,742 applicants, 4,550 interviewed applicants, and 329 matched applicants were included. During virtual application cycles, there were no increases in the average number of applicants (P = .25), interviewed applicants (P = .36), or matched (P = .84) applicants per year. Virtual cycles were associated with a larger proportion of interviews conducted with applicants from out-of-state medical schools (P < .01) and listing out-of-state contact locations (P < .01) compared with in-person application cycles. There were no significant geographic differences in matched applicants between virtual and in-person application cycles. Conclusion: Virtual application cycles had greater geographic diversity among interviewed applicants. However, similar differences were not seen in the geographic diversity of matched applicants. Additional efforts should focus on why no changes in the geographic diversity of matched applicants were identified.

PubMed ID

38987094

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