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Impact of Preference Signals on Interview Selection Across Multiple Residency Specialties and Programs.
Adena E Rosenblatt1, Jennifer LaFemina2, Lonika Sood3
1is Residency Program Director and Assistant Professor of Pediatric Dermatology, Division of Dermatology, Department of Medicine and Department of Pediatrics, University of Chicago, Chicago, Illinois, USA.
Program signaling in residency applications increases interview selection likelihood for interested applicants. This benefit was observed across various specialties and applicant groups, including underrepresented in medicine candidates.
Area of Science:
- Medical Education
- Residency Application Process
- Applicant Selection
Background:
- Program signaling allows applicants to express interest in specific residency programs.
- This innovation aids programs in identifying genuinely interested applicants for interviews.
Purpose of the Study:
- To evaluate the impact of program signaling on interview selection rates.
- Analysis focused on the 2022 Electronic Residency Application Service (ERAS) cycle across specialties.
Main Methods:
- Included Dermatology, General Surgery (GS), and Internal Medicine-Categorical (IM-C) programs participating in ERAS signaling.
- Utilized applicant signal data from the Supplemental ERAS Application (SuppApp).
- Employed logistic regression to analyze the probability of interview selection based on signaling status.
Main Results:
- Program signaling participation rates were high: Dermatology (62%), GS (75%), IM-C (86%).
- Signaling significantly increased the likelihood of being selected for an interview in all examined specialties.
- This positive effect was consistent across gender, underrepresented in medicine (UIM) groups, and applicant types (MD, DO, IMG), even after controlling for USMLE Step 1 scores.
Conclusions:
- Program signaling enhances the probability of interview selection for applicants.
- Signaling did not negatively impact interview chances for any specific gender or UIM group.
- Variability in signaling's effect was noted across individual programs.
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