Diversity in Otolaryngology Residency Programs: A Survey of Otolaryngology Program Directors
Bibliographic record
Abstract
Objective As the population of the United States becomes increasingly racially and ethnically diverse, it is important that the medical profession reflect these changes. Otolaryngology has previously been identified as one of the surgical subspecialties with the smallest presence of those underrepresented in medicine. In the context of this study, the term underrepresented in medicine is defined as blacks, Latinos, Native American, and Native Hawaiians. The purpose of this study was to describe the current state of otolaryngology residency programs in terms of diversity of resident and faculty cohort, explore general interviewing practices, and investigate recruitment of underrepresented in medicine applicants. Study Design Survey via electronic questionnaire. Setting Academic otolaryngology residency programs. Subjects and Methods A 14-item survey was distributed to 105 program directors asking them to consider their program's past 15 years of existence. Results With a response rate of roughly 30%, we found that over one-third of responding programs had matriculated 1 or fewer underrepresented in medicine residents. There was a statistically significant association between the number of underrepresented in medicine faculty and the number of underrepresented in medicine residents matriculated ( P = .02). Conclusion The authors stress the importance of underrepresented in medicine faculty mentorship. Although not statistically significant in this study, increasing the number of underrepresented in medicine applicants interviewed, as well as recommending outreach programs, may help to improve underrepresented minority matriculation into residency programs as demonstrated in the literature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".