A80 DEVELOPMENT OF COMPETENCY BASED MEDICAL EDUCATION CURRICULUM FOR INFLAMMATORY BOWEL DISEASE ADVANCED TRAINING PROGRAM IN CANADA
Bibliographic record
Abstract
Abstract Background Inflammatory bowel disease (IBD) advanced training programs in Canada are heterogenous in their education, structure, and case exposure, resulting in differences in trainee experience. While competency based medical education (CBME) is becoming the primary educational framework in residency training, there is no CBME-based curriculum for IBD advanced training programs. Adopting a CBME framework for IBD fellowships may help standardize training to increase competence. Purpose The purpose of this study was to develop a CBME-based curriculum for IBD advanced training programs in Canada. Method Strategic groups consisting of 25 IBD experts were assigned to develop 15 entrustable professional activities (EPAs), which were then refined by experts in medical education and curriculum development. Acceptable EPAs were assessed using an electronically administered round-less Delphi panel. Panel members evaluated each EPA using a Likert scale, which asked participants to consider appropriateness of each EPA for an advanced IBD curriculum. A consensus strength greater than 70% was the acceptable threshold for inclusion into the final curriculum. Milestones were modelled after CanMED roles for each EPA. Result(s) Of the 15 initial EPAs, nine were recommended for the roundless Delphi panel by the selection committee: (1) identification, diagnosis, and treatment of new onset IBD; (2) assessment and treatment of outpatients with IBD; (3) the endoscopic evaluation of disease activity and the effective communication of endoscopic findings for patients with IBD; (4) provide effective inpatient management and coordinate transition to outpatient care for patients with IBD; (5) recognize and institute preventive health maintenance strategies in patients with IBD; (6) management and treatment of special populations with IBD; (7) identification, diagnosis, and treatment of the various extraintestinal manifestations of IBD; (8) Engage health care systems to improve the quality of care for patients with IBD; (9) engage in scholarly activities related to IBD. Eight of the nine EPAs achieved a consensus score greater than 70%, with the EPA, ‘engage in scholarly activities related to IBD’ failing to meet this cut-off. Associated milestones were developed for the eight final EPAs. Image Conclusion(s) This study was the first attempt to develop a CBME-based IBD curriculum in Canada. With proper funding and guidance, we hope our model can be implemented across Canada in IBD advanced training programs. These methods may also help facilitate the development of CBME curricula for other advanced training programs. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared
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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 | 0.005 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".