The Relationship between Program and Applicant Characteristics with Applicant Program Signals in the 2022 Residency Recruitment Cycle: Findings from 3 Specialties

N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Purpose Continuing increases in application volume have driven a national dialogue to reform the residency recruitment process. Program signaling allows applicants to express interest in a program at the preinterview stage with the goal of helping programs identify applicants with more genuine interest in their programs. This study explored the relationship between program signals and program and applicant characteristics. Method Participating dermatology, general surgery, and categorical internal medicine (IM) programs and applicants of the 2022 supplemental ERAS application (SuppApp) were included. Data from the SuppApp, the MyERAS Application for Residency Applicants (MyERAS), and the 2020 GME Track Survey were used. Cohen's h was used to determine effect size, and chi-squared was used to determine statistical significance. Results There was an uneven distribution of signals to programs, with 25% of programs receiving about half of the signals across all 3 specialties. Programs with larger numbers of both residents and applicants received greater numbers of program signals relative to their program density, although this effect was small (h < 0.50, P < 0.80, P

Cite

CITATION STYLE

APA

Lafemina, J., Rosman, I. S., Wallach, S. L., Wise, P. E., Smink, D. S., & Fletcher, L. (2024). The Relationship between Program and Applicant Characteristics with Applicant Program Signals in the 2022 Residency Recruitment Cycle: Findings from 3 Specialties. Academic Medicine, 99(4), 430–436. https://doi.org/10.1097/ACM.0000000000005586

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free