Enhancing interprofessional education and practice: Development and implementation of a new graduate-level course using the international classification of functioning, disability, and health
Bibliographic record
Abstract
Since the introduction of the World Health Organization's International Classification of Functioning, Disability and Health (ICF), there is increasing awareness among health professionals to consider a biopsychosocial approach to patients' health and functioning. Although diffusion of the ICF as a concept is widely recognized, application of the ICF within health education and practice requires attention, training, and support. This article describes the development and implementation of a new graduate-level course using the ICF to assist health professionals and graduate trainees in rehabilitation. The innovation behind this course is its focus on application of the ICF in research and practice through a combination of peer support and instructor mentorship. The value of the ICF for interprofessional education, research, and practice includes promotion of a broad perspective to health, application of theory in practice, and enhanced communication and collaboration in healthcare.
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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 | 0.002 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".