Accreditation Council for Graduate Medical Education Milestone Training Ratings and Surgeons’ Early Outcomes
Bibliographic record
Abstract
Importance: National data on the development of competence during training have been reported using the Accreditation Council for Graduate Medical Education (ACGME) Milestones system. It is now possible to consider longitudinal analyses that link Milestone ratings during training to patient outcomes data of recent graduates. Objective: To evaluate the association of in-training ACGME Milestone ratings in a surgical specialty with subsequent complication rates following a commonly performed operation, endovascular aortic aneurysm repair (EVAR). Design, Setting, and Participants: This study of patient outcomes followed EVAR in the Vascular Quality Initiative (VQI) registry (4213 admissions from 208 hospitals treated by 327 surgeons). All surgeons included in this study graduated from ACGME-accredited training programs from 2015 through 2019 and had Milestone ratings 6 months prior to graduation. Data were analyzed from December 1, 2021, through September 15, 2023. Because Milestone ratings can vary with program, they were corrected for program effect using a deviation score from the program mean. Exposure: Milestone ratings assigned to individual trainees 6 months prior to graduation, based on judgments of surgical competence. Main Outcomes and Measures: Surgical complications following EVAR for patients treated by recent graduates during the index hospitalization, obtained using the nationwide Society for Vascular Surgery Patient Safety Organization's VQI registry, which includes 929 participating centers in 49 US states. Results: The study included outcomes for 4213 patients (mean [SD] age, 73.25 [8.74] years; 3379 male participants [80.2%]). Postoperative complications included 9.5% major (400 of 4213 cases) and 30.2% minor (1274 of 4213 cases) complications. After adjusting for patient risk factors and site of training, a significant association was identified between individual Milestone ratings of surgical trainees and major complications in early surgical practice in programs with lower mean Milestone ratings (odds ratio, 0.50; 95% CI; 0.27-0.95). Conclusions and Relevance: In this study, Milestone assessments of surgical trainees were associated with subsequent clinical outcomes in their early career. Although these findings represent one surgical specialty, they suggest Milestone ratings can be used in any specialty to identify trainees at risk for future adverse patient outcomes when applying the same theory and methodology. Milestones data should inform data-driven educational interventions and trainee remediation to optimize future patient outcomes.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".