Impact of a 1-Year Pediatric Emergency Medicine Training Program for International Medical Graduates
Bibliographic record
Abstract
OBJECTIVES: The Hospital for Sick Children in Toronto has offered a 1-year subspecialty residency training program in pediatric emergency medicine (PEM) to Canadian and internationally trained pediatricians and emergency physicians since 1993. The program is intended to support clinical service delivery while simultaneously offering a unique educational opportunity to Canadian and international physicians who desire 1 year of clinically focused training. We describe the experiences and career outcomes of participants who completed this program. METHODS: Two surveys were sent to the 68 individuals who completed the clinical fellowship program from its inception in 1993 until 2014. A blinded survey focused on the fellowship experience and subsequent career activities. A nonblinded survey subsequently determined whether participants had served as a medical director or training program director. RESULTS: Sixty of the 68 participants (88%) completed the blinded survey. Ninety-one percent were in practice in emergency medicine. Twenty-five percent of the participants were living in Canada, compared with 17% before completing the program. This net migration of 8% was not significant (P = 0.26). Thirty-six of the 50 participants (72%) who applied from outside Canada responded to the nonanonymous survey; 18 (50%) had served as an emergency department medical director, and 18 (50%) reported serving as a PEM training program director. CONCLUSIONS: Many participants attained leadership positions in PEM in countries outside of North America and/or participated in training program development. There was no significant change in the proportion of participants living in North America at the time of application compared with the time of survey completion.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".