Does the site of postgraduate family medicine training predict performance on summative examinations? A comparison of urban and remote programs.
Bibliographic record
Abstract
BACKGROUND: The location of postgraduate medical training is shifting from teaching hospitals in urban centres to community practice in rural and remote settings. We were interested in knowing whether learning, as measured by summative examinations, was comparable between graduates who trained in urban centres and those who trained in remote and rural settings. METHODS: Family medicine training programs in Ontario were selected as a model of postgraduate medical training. The results of the 2 summative examinations--the Medical Council of Canada Qualifying Examination (MCCQE) Part II and the College of Family Physicians of Canada (CFPC) certification examination--for graduates of the programs at Ontario's 5 medical schools were compared with the results for graduates of the programs in Sudbury and Thunder Bay from 1994 to 1997. The comparability of these 2 cohorts at entry into training was evaluated using the results of their MCCQE Part I, completed just before the family medicine training. RESULTS: Between 1994 and 1997, 1013 graduates of family medicine programs (922 at the medical schools and 91 at the remote sites) completed the CFPC certification examination; a subset of 663 completed both the MCCQE Part I and the MCCQE Part II. The MCCQE Part I results for graduates in the remote programs did not differ significantly from those for graduates entering the programs in the medical schools (mean score 531.3 [standard deviation (SD) 69.8] and 521.8 [SD 74.4] respectively, p = 0.33). The MCCQE Part II results did not differ significantly between the 2 groups either (mean score 555.1 [SD 71.7] and 545.0 [SD 76.4] respectively, p = 0.32). Similarly, there were no consistent, significant differences in the results of the CFPC certification examination between the 2 groups. INTERPRETATION: In this model of postgraduate medical training, learning was comparable between trainees in urban family medicine programs and those in rural, community-based programs. The reasons why this outcome might be unexpected and the limitations on the generalizability of these results are discussed.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".