Affiliation:
1. University of Michigan Medical School Ann Arbor Michigan USA
2. Department of Otolaryngology—Head and Neck Surgery University of Michigan Medical School Ann Arbor Michigan USA
3. Department of Otolaryngology—Head and Neck Surgery The Ohio State University Wexler Medical Center Columbus Ohio USA
4. Department of Pediatrics University of Texas Southwestern Medical Center Dallas Texas USA
Abstract
AbstractObjectivesTo assess the impact of applicant and program characteristics on preference signaling outcomes during the 2021 and 2022 application cycles in otolaryngology.MethodsThe Texas Seeking Transparency in Applications to Residency survey was used for otolaryngology applicants during the 2021 and 2022 match years. The primary outcome of interest was signal yield, defined as the number of interviews at signaled programs divided by the total number of signals sent. Associations with applicant‐reported characteristics, geographic connections to programs, and program reputation were assessed.ResultsOn average 59.5% of signals resulted in an interview (signal yield). There was a positive correlation between the number of signals sent to a program with a reported geographic connection and signal yield, with each additional signal resulting in a 3.4% increase in signal yield (p = .03). Signal yield was positively associated with number of publications (p < .001); number of abstracts, posters, and presentations (p = .04); and whether the applicant took a research year (p = .003). Applicants with higher USMLE Step 1 (p = .01) and Step 2 (p = .003) scores, publications (p = .03), volunteer (p = .008) and leadership (p = .001) experiences received a lower percentage of their total interviews from signaled programs whereas applicants from the 3rd (p < .001) and 4th (p = .03) cumulative class ranked quartiles received a higher percentage of their total interviews from signaled programs.ConclusionsSignal yield appears to have a significant association with geographic connections to programs and applicant competitiveness. This study may help applicants, advisors, and programs maximize the benefit of the preference signaling system.Levels of evidence: Level 4.
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6 articles.
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