Program Signaling in Emergency Medicine: Applicant Trends and Outcomes From the 2023 and 2024 Match

IF 1.8 Q2 EDUCATION, SCIENTIFIC DISCIPLINES

AEM Education and Training Pub Date : 2025-06-25 DOI:10.1002/aet2.70070

Andrew D. Luo, Christopher Zeuthen, Elizabeth Barrall Werley, Eric Shappell, Alexis Pelletier-Bui, Molly Estes, Megan Fix, Carl Preiksaitis, Angela P. Mihalic, Daniel J. Egan

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引用次数: 0

Abstract

Background

Program signals were introduced to the emergency medicine (EM) residency application process during the 2022–2023 and 2023–2024 application cycles, allowing applicants to express interest in specific programs. Despite widespread adoption, the relationship between signal usage and applicant outcomes remains poorly understood. This study evaluates patterns of signal utilization and their association with interview offers and match outcomes during the initial implementation in EM.

Methods

We conducted a retrospective analysis of the Texas Seeking Transparency in Application to Residency (Texas STAR) database, examining US allopathic and osteopathic senior medical students applying to EM residency programs during two application cycles (2022–2023 and 2023–2024). We analyzed program signal (PS) distribution patterns using χ² testing and employed multivariable logistic regression to assess the relationship between PS usage and both interview offers and match outcomes.

Results

The study included 967 EM applicants across two application cycles (478 in 2022–2023, 489 in 2023–2024), who sent 1919 signals in 2022–2023 and 3170 in 2023–2024. Signal distribution was highly concentrated, with the top 10% of programs receiving 35% of all signals in both application cycles. Interview yield was higher at signaled programs (2023 cycle: 76.3%, 2024 cycle: 78.9%) compared to programs overall (2023 cycle: 51.3%, 2024 cycle: 43.5%). In logistic regression analysis, sending a program signal was associated with increased odds of receiving an interview offer (2023 cycle: OR 4.40, 95% CI 3.90–4.92; 2024 cycle: OR 3.79, 95% CI 3.42–4.14), and matching after interviewing (2023 cycle: OR 5.13, 95% CI 4.08–6.47; 2024 cycle: OR 4.94, 95% CI 3.98–6.15).

Conclusion

Program signals are associated with improved odds of receiving interviews and matching at EM programs. Future studies should investigate how signals affect the likelihood of receiving interview offers for applicants across different levels of competitiveness.

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急诊医学项目信号：2023年和2024年匹配的申请人趋势和结果

在2022-2023和2023-2024申请周期，急诊医学（EM）住院医师申请过程中引入了项目信号，允许申请人表达对特定项目的兴趣。尽管被广泛采用，但信号使用与申请人结果之间的关系仍然知之甚少。本研究评估了EM初始实施过程中信号利用模式及其与面试机会和匹配结果的关系。方法我们对德克萨斯州寻求住院申请透明度（Texas STAR）数据库进行了回顾性分析。研究了在两个申请周期（2022-2023和2023-2024）申请EM住院医师项目的美国对抗疗法和整骨疗法高级医学生。我们使用χ2检验分析了节目信号（PS）的分布模式，并采用多变量逻辑回归来评估PS使用与面试机会和匹配结果之间的关系。该研究包括两个申请周期的967名EM申请人（2022-2023年为478人，2023-2024年为489人），他们在2022-2023年发送了1919个信号，在2023-2024年发送了3170个信号。信号分布高度集中，在两个应用周期中，前10%的程序接收了35%的信号。与整体项目（2023周期：51.3%，2024周期：43.5%）相比，信号项目（2023周期：76.3%，2024周期：78.9%）的面试率更高。在逻辑回归分析中，发送程序信号与获得面试机会的几率增加有关(2023周期：OR 4.40, 95% CI 3.90-4.92；2024周期：OR 3.79, 95% CI 3.42-4.14)，以及访谈后的匹配(2023周期：OR 5.13, 95% CI 4.08-6.47；2024周期：OR 4.94, 95% CI 3.98-6.15)。结论：程序信号与EM程序中接受访谈和匹配的几率提高有关。未来的研究应该调查信号是如何影响不同竞争水平的求职者获得面试机会的可能性的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

AEM Education and Training Nursing-Emergency Nursing

CiteScore

2.60

自引率

22.20%

发文量