Genitourinary reconstructive surgery curriculum and postgraduate training program development in the Caribbean
Bibliographic record
Abstract
Objectives: To describe the development of a genitourinary reconstructive fellowship curriculum and the establishment of the first genitourinary reconstructive and pelvic floor postgraduate training program in the Caribbean. Methods: In an effort to respond to the need for specialty-trained reconstructive urologists in the Dominican Republic, we developed an18-month fellowship program to train local surgeons. The process began with creation of a curriculum and partnership with in-country physicians, societies, hospitals, and government officials. We sought accreditation via a well-established local university, and fellowship candidates were selected. A database was maintained to track outcomes. Subjective and objective reviews were performed of the fellows. Results: The first fellow graduated in 2018, the second in 2020, and the third is currently in training. The curriculum was created and implemented. The fellowship has been successfully integrated into the health system, and the fellows performed 199 and 235 cases, respectively, during the program, completing all rotations successfully. They have been appointed to the national health system. Both graduates are now docents in the program and in the public system. Additional staff including radiologists, radiology technicians, nurses, urology residents (both Dominican and American), urology attendings, operating room staff, and anesthesia residents were trained as a result of the program. Conclusions: To our knowledge, this is the first fellowship of its kind in the Caribbean. A novel curriculum was created and implemented, and the first 2 fellows have successfully completed all rotations. This training model may be transferable to additional sites.
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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 | 0.001 |
| 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 | 0.001 |
| 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".