Abstract
Objective: To assess whether preferential hiring practices, particularly self-hiring, are present in academic otolaryngology departments. Setting: A list of academic Otolaryngology-Head and Neck Surgery (O-HNS) departments ranked #1-40 was generated from the Doximity 2021 rankings. The educational background and training information of clinical faculty members and departmental leadership was extracted from each department's online directories. Methods: Descriptive statistics were used to examine inter/intradepartmental relationships and affiliations of included clinical faculty and departmental leadership based on current employment and medical training sites. A "prior affiliation ratio" was calculated to assess the degree of self-hiring and account for multiple possible prior affiliations (medical school, residency, and fellowship) by dividing all prior self-hired affiliations of faculty by the total number of faculty at each department. Results: A total of 1344 clinical faculty were identified, and 596 (44.35%) had at least 1 prior affiliation with their department. The overall prior affiliation ratio was 0.6, and 7 departments had a value >0.8, with the highest being 1.27 (>1.0 indicating multiple prior affiliations per individual such as both residency and fellowship). A network map of departments #1-10 showed heavy intradepartmental faculty recruitment with 24% of faculty having completed a #1-10 residency, 24% a #11-20 residency, 13% a #21-30 residency, and 11% a #31-40 residency. Totaling this data, 76% of faculty at departments ranked #1-10 had completed training at a program ranked #1-40. Furthermore, our data shows high rates of self-hiring among departmental leadership, (40% of Departmental Chairs and 62.5% of Program Directors) though rates are not significantly higher than self-hiring among faculty overall. Conclusion: The top 40 ranked O-HNS departments have high rates of self-hiring, relying on prestige of training programs and prior affiliation in hiring decisions. The effect on departmental productivity and training is unclear.
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