Hysterectomy Route and Numbers Reported by Graduating Residents in Obstetrics and Gynecology Training Programs
Bibliographic record
Abstract
OBJECTIVE: To characterize trends in self-reported numbers and routes of hysterectomy for obstetrics and gynecology residents using the Accreditation Council for Graduate Medical Education (ACGME) case log database. METHODS: Hysterectomy case log data for obstetrics and gynecology residents completing training between 2002-2003 and 2017-2018 were abstracted from the ACGME database. Total numbers of hysterectomies and modes of approach (abdominal, laparoscopic, and vaginal) were compared using bivariate statistics, and trends over time were analyzed using simple linear regression. RESULTS: Hysterectomy data were collected from 18,982 obstetrics and gynecology residents in a median of 243 (interquartile range 241-246) ACGME-accredited programs. The number of graduating residents increased significantly over time (12.1/year, P<.001), whereas the number of residency programs decreased significantly (0.52 fewer programs per year, P<.001) over the 16-year period. For cases logged as "surgeon," the median number of abdominal hysterectomies decreased by 56.5% from 85 (interquartile range 69-102) to 37 (interquartile range 34-43) (P<.001). The median number of vaginal hysterectomies decreased by 35.5% from 31 (interquartile range 24-39) to 20 (interquartile range 17-25) (P=.002). The median total number of hysterectomies per resident decreased by 6.3% from 112 (interquartile range 97-132) to 105 (interquartile range 92-121) (P=.036). In contrast, the median number of laparoscopic hysterectomies increased by 115% from 20 (interquartile range 13-28) in 2008-2009 to 43 (interquartile range 32-56) in 2017-2018, despite the decrease in overall number of hysterectomies (P<.001). These trends were statistically significant. CONCLUSIONS: The total number of hysterectomies performed by obstetrics and gynecology residents in the United States is decreasing, and the routes are changing with decreases in abdominal and vaginal approaches, and an increase in use of laparoscopic hysterectomy.
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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 | 0.000 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".