The Pain Interprofessional Curriculum Design Model
Bibliographic record
Abstract
Objective: Although the University of Toronto Centre for the Study of Pain has successfully implemented an Interfaculty Pain Curriculum since 2002, we have never formalized the process in a design model. Therefore, our primary aim was to develop a model that provided an overview of dynamic, interrelated elements that have been important in our experience. A secondary purpose was to use the model to frame an interactive workshop for attendees interested in developing their own pain curricula. Methods: The faculties from Dentistry, Medicine, Nursing, Occupational Therapy, Pharmacy, and Physical Therapy met to develop the model components. Discussion focused on patient-centered pain assessment and management in an interprofessional context, with pain content being based on the International Association for the Study of Pain-Interprofessional Pain Curriculum domains and related core pain competencies. Profession-specific requirements were also considered, including regulatory/course requirements, level of students involved, type of course delivery, and pedagogic strategies. Results: The resulting Pain Interprofessional Curriculum Design Model includes components that are dynamic, competency-based, collaborative, and interrelated. Key questions important to developing curricular components guide the process. The Model framed two design workshops with very positive responses from international and national attendees. Conclusions: The Pain Interprofessional Curriculum Design Model is based on established pain curricula and related competencies that are relevant to all health science students at the prelicensure (entry-to-practice) level. The model has been developed from our experience, and the components resonated with workshop attendees from other regions. This Model provides a basis for future interventions in curriculum design and evaluation.
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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 | 0.015 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 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".