Interprofessional education at Laval University: Building an integrated curriculum for patient-centred practice
Bibliographic record
Abstract
The Laval University Faculty of Medicine, Faculty of Nursing, and School of Social Work, in partnership with the Vieille-Capitale Health and Social Services Centre in Quebec City, obtained funding from Health Canada to design, implement, and evaluate an integrated interprofessional education (IPE) program for family medicine, nursing, and social work students and for professionals from those professions working in primary care. The program was developed around four components and produced the following outcomes: a 45-hour undergraduate curriculum; IPE practical training for professionals, supervisors, residents and trainees in primary care teaching settings; a continuing education model for professionals based on a coaching approach, and; information and communication technology resources. After briefly describing the implementation process, educational content, and evaluation highlights of each component, the integrated program is discussed with respect to the inter-area complementarities and coherence with the conceptual dimensions that have guided the development of the program: IPE, collaboration, and collaborative patient-centered practice. The positive evaluation outcomes, the sustainability of the educational activities, and the enthusiasm of the different partners led to the creation of the Collaborative Network on Interprofessional Practices at Laval University and its affiliated health and social services clinical network.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".