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Program Signaling in Emergency Medicine: The 2022-2023 Program Director Experience
Alexis E Pelletier-Bui1, Timothy Fallon2, Liza Smith3
1Cooper University Hospital/Cooper Medical School of Rowan University, Department of Emergency Medicine, Camden, New Jersey.
Emergency medicine residency programs widely adopted program signaling (PS) in its first year, but its importance in application review and ranking was low. Understanding signal use can help programs navigate applicant numbers and demographics.
Area of Science:
- Medical Education
- Residency Application Process
- Emergency Medicine
Background:
- Program signaling (PS) was introduced in emergency medicine (EM) residency applications for the 2022-2023 cycle.
- This system allows applicants to indicate program preferences, aiming to streamline the application process.
Purpose of the Study:
- To evaluate the utilization of program signaling by EM program directors (PDs) in application review and ranking.
- To explore the relationship between program characteristics and the number of signals received.
- To assess the relative importance and utilization of signals based on the number received.
Main Methods:
- Cross-sectional study of PDs at ACGME-accredited EM residency programs.
- Descriptive statistics and comparative analyses (chi-square, Fisher exact test, t-test, ANOVA) were used.
- Data collected on program characteristics and PS utilization.
Main Results:
- High adoption rate: 94.2% of EM programs participated in PS.
- Average signals received per program was 60, with significant variation based on program characteristics.
- Most programs (52.2%) used PS in holistic review, but its overall importance in review and ranking was rated low compared to other application components.
Conclusions:
- The inaugural year of PS in EM shows widespread program adoption but low perceived importance.
- Identified patterns in signal use based on program characteristics and received signals can inform future strategies.
- A deeper understanding of signal dynamics is crucial for EM as it addresses applicant pool fluctuations and demographic shifts.
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