Micaela J Tobin, Tricia Mae Raquepo, Shreyas Puducheri, Maria J Escobar-Domingo, Mohammed Yamin, Angela P Mihalic, Ryan P Cauley
Purpose: Given varying preference signal numbers and structures across residency specialties, this study investigates the impact of preference signaling on match outcomes in highly competitive medical specialties.
Method: Data were from University of Texas Southwestern Medical School's Texas Seeking Transparency in Application to Residency survey of applicants to the top 10 most competitive specialties using signaling between 2021 and 2024. Bivariate statistical testing compared groups across categorical and continuous variables. Multivariate logistic regression compared outcomes between 10 or fewer and 20 or more signals.
Results: The dataset contained 4,469 applications from 4,391 unique students. Number of signals used did not affect number of overall matches (2,458 of 2,908 [84.5%] for 3-5 signals, 94 of 112 [93.9%] for 6-10 signals, 178 of 203 [86.7%] for 21-25 signals, and 585 of 662 [88.4%] for 26-30 signals; P = .08). Higher signal numbers were associated with significantly higher matching rates at signaled institutions (916 of 2,098 [37.2%] vs 525 of 662 [89.6%], P < .001). Away rotations (odds ratio [OR], 9.25; 95% CI, 6.37-13.43; P < .001), signaling gold (OR, 7.74; 95% CI, 3.85-15.55; P < .001), geographic connections (OR, 4.12; 95% CI, 3.01-5.64; P < .001), and signaling programs (OR, 3.38; 95% CI, 2.43-4.68; P < .001) were significantly associated with matching. Away rotations were ranked as most important (β = 2.23) followed by gold signals (β = 2.05), geographic connection (β = 1.42), and program signals (β = 1.22). Program signals had a stronger impact for applicants with 10 signals or fewer vs 20 signals or more (OR, 5.99 [95% CI, 3.96-9.08] vs 3.00 [95% CI, 1.33-6.77]; P < .001).
Conclusions: Specialties with more signals favor successful matching to signaled programs, but signal effectiveness diminishes as quantity increases. Applicants should prioritize impactful strategies to improve their chances of matching.
{"title":"The Power of a Signal: The Impact of Preference Signaling on Matching in the Top 10 Most Competitive Specialties.","authors":"Micaela J Tobin, Tricia Mae Raquepo, Shreyas Puducheri, Maria J Escobar-Domingo, Mohammed Yamin, Angela P Mihalic, Ryan P Cauley","doi":"10.1093/acamed/wvag033","DOIUrl":"https://doi.org/10.1093/acamed/wvag033","url":null,"abstract":"<p><strong>Purpose: </strong>Given varying preference signal numbers and structures across residency specialties, this study investigates the impact of preference signaling on match outcomes in highly competitive medical specialties.</p><p><strong>Method: </strong>Data were from University of Texas Southwestern Medical School's Texas Seeking Transparency in Application to Residency survey of applicants to the top 10 most competitive specialties using signaling between 2021 and 2024. Bivariate statistical testing compared groups across categorical and continuous variables. Multivariate logistic regression compared outcomes between 10 or fewer and 20 or more signals.</p><p><strong>Results: </strong>The dataset contained 4,469 applications from 4,391 unique students. Number of signals used did not affect number of overall matches (2,458 of 2,908 [84.5%] for 3-5 signals, 94 of 112 [93.9%] for 6-10 signals, 178 of 203 [86.7%] for 21-25 signals, and 585 of 662 [88.4%] for 26-30 signals; P = .08). Higher signal numbers were associated with significantly higher matching rates at signaled institutions (916 of 2,098 [37.2%] vs 525 of 662 [89.6%], P < .001). Away rotations (odds ratio [OR], 9.25; 95% CI, 6.37-13.43; P < .001), signaling gold (OR, 7.74; 95% CI, 3.85-15.55; P < .001), geographic connections (OR, 4.12; 95% CI, 3.01-5.64; P < .001), and signaling programs (OR, 3.38; 95% CI, 2.43-4.68; P < .001) were significantly associated with matching. Away rotations were ranked as most important (β = 2.23) followed by gold signals (β = 2.05), geographic connection (β = 1.42), and program signals (β = 1.22). Program signals had a stronger impact for applicants with 10 signals or fewer vs 20 signals or more (OR, 5.99 [95% CI, 3.96-9.08] vs 3.00 [95% CI, 1.33-6.77]; P < .001).</p><p><strong>Conclusions: </strong>Specialties with more signals favor successful matching to signaled programs, but signal effectiveness diminishes as quantity increases. Applicants should prioritize impactful strategies to improve their chances of matching.</p>","PeriodicalId":50929,"journal":{"name":"Academic Medicine","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146120943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anthony Gaynier, Heather A Billings, Renee H Connolly, John Lowry, Rachel Moquin, Stacey Pylman, Morgan Rhodes, Adrienne Salentiny, Caren M Stalburg, Ellen L Usher, John D Mahan
Purpose: Clinician educators are essential to the academic medicine workforce, yet understanding how they assess their own teaching competencies is limited. The Clinical Educator Milestones (CEMs) guide growth across key educator domains, but their use and perceived relevance remain underexplored. This study aims to (1) evaluate clinician educators' self-reported performance on the CEMs; (2) examine differences by career level, specialty, and experience; and (3) inform faculty development efforts through a clearer understanding of educators' perceived strengths and gaps.
Method: Clinician educators from 9 US academic institutions completed a self-assessment rating their performance across 4 universal pillars and 11 educational theory and practice competencies on a 1- (novice) to 5- (expert) point scale in 0.5-point increments from August to November 2024. Descriptive statistics and mean difference tests were used to analyze variation across demographic and professional characteristics.
Results: A total of 484 responses to at least 1 CEM were received. Respondents rated themselves highest in commitment to professional responsibilities (mean [SD], 4.30 [0.68]), teaching and facilitating learning (mean [SD], 3.96 [0.74]), and professionalism (mean [SD], 3.93 [0.73]) and lowest in medical education scholarship (mean [SD], 3.11 [1.15]), program evaluation (mean [SD], 3.33 [1.03]), and the science of learning (mean [SD], 3.43 [1.10]). Statistically significant group differences were found by years of posttraining clinical experience (F2,413 = 16.87, P < .001, η2 = .076), years of teaching experience (F2,433 = 20.87, P < .001, η2 = .088), and academic rank (F2,403 = 13.96, P < .001, η2 = .065).
Conclusions: This study identifies key trends in self-perceived strengths and needs among clinician educators and highlights the limited awareness of the CEM framework. As institutions aim to build effective educator development systems, the CEMs can serve as a useful structure for tailoring support to individuals and identifying institutional needs.
{"title":"Exploring Faculty Self-Assessment on Clinician Educator Milestones: Insights From a Multi-Institutional Study.","authors":"Anthony Gaynier, Heather A Billings, Renee H Connolly, John Lowry, Rachel Moquin, Stacey Pylman, Morgan Rhodes, Adrienne Salentiny, Caren M Stalburg, Ellen L Usher, John D Mahan","doi":"10.1093/acamed/wvag032","DOIUrl":"https://doi.org/10.1093/acamed/wvag032","url":null,"abstract":"<p><strong>Purpose: </strong>Clinician educators are essential to the academic medicine workforce, yet understanding how they assess their own teaching competencies is limited. The Clinical Educator Milestones (CEMs) guide growth across key educator domains, but their use and perceived relevance remain underexplored. This study aims to (1) evaluate clinician educators' self-reported performance on the CEMs; (2) examine differences by career level, specialty, and experience; and (3) inform faculty development efforts through a clearer understanding of educators' perceived strengths and gaps.</p><p><strong>Method: </strong>Clinician educators from 9 US academic institutions completed a self-assessment rating their performance across 4 universal pillars and 11 educational theory and practice competencies on a 1- (novice) to 5- (expert) point scale in 0.5-point increments from August to November 2024. Descriptive statistics and mean difference tests were used to analyze variation across demographic and professional characteristics.</p><p><strong>Results: </strong>A total of 484 responses to at least 1 CEM were received. Respondents rated themselves highest in commitment to professional responsibilities (mean [SD], 4.30 [0.68]), teaching and facilitating learning (mean [SD], 3.96 [0.74]), and professionalism (mean [SD], 3.93 [0.73]) and lowest in medical education scholarship (mean [SD], 3.11 [1.15]), program evaluation (mean [SD], 3.33 [1.03]), and the science of learning (mean [SD], 3.43 [1.10]). Statistically significant group differences were found by years of posttraining clinical experience (F2,413 = 16.87, P < .001, η2 = .076), years of teaching experience (F2,433 = 20.87, P < .001, η2 = .088), and academic rank (F2,403 = 13.96, P < .001, η2 = .065).</p><p><strong>Conclusions: </strong>This study identifies key trends in self-perceived strengths and needs among clinician educators and highlights the limited awareness of the CEM framework. As institutions aim to build effective educator development systems, the CEMs can serve as a useful structure for tailoring support to individuals and identifying institutional needs.</p>","PeriodicalId":50929,"journal":{"name":"Academic Medicine","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146121032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}