Competency-based medical education guidelines are context-based: Lessons from national guidelines in five countries
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: The global shift towards competency-based medical education (CBME) has led to the development of national guidelines for CBME implementation (CBME Guides). The characteristics of CBME Guides from CBME-developed countries were analysed to inform the revision process for the CBME Guide in Japan, a CBME-developing country. METHODS: Document analysis of CBME Guides from Canada, Singapore, the Netherlands, the United Kingdom, and the United States was conducted by six Japanese medical education experts. The process of analysing the CBME Guides was also reviewed. RESULTS: While the CBME Guides contain many commonalities in structure and content, there is variation in terminology and forms of expression. The characteristics vary according to national systems, culture, and customs. The content of the Guides may have changed depending on the publication date, in line with changes in medical technology, medical needs, and advances in the understanding of CBME. CONCLUSIONS: Analysing CBME Guides from CBME-developed countries may lead to more meaningful revisions to a CBME-developing country's guide, enabling it to be better aligned with the local, social, cultural, and historical context of the country now and in the future.
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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 | 0.003 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".