Different Roles, Same Goal: Students Learn about Interprofessional Practice in a Clinical Setting
Bibliographic record
Abstract
The Shriners Hospitals for Children-Canada has developed an innovative Interprofessional Education Program to help tomorrow's healthcare professionals gain the skills and knowledge they need to work effectively in teams to provide efficient, collaborative and family-centred care. Undergraduate students in nursing, physiotherapy and occupational therapy participated in group discussions, seminars by staff members and group presentations. Students reported increased understanding of their own and others' roles and a more holistic view of patients and families, and demonstrated their ability to work in teams to create collaborative care plans. Facilitating factors were a strong existing interprofessional team, administrative buy-in and support, consistent clinical nurse specialist involvement and strong, enthusiastic students. Challenges included logistics, time taken away from students' regular clinical time, time required of staff for program planning and implementation, and the difficulty of evaluating effects on patient care. The program shows promise as a way of introducing students to interprofessional practice and giving them a chance to practise their newly acquired skills in a clinical setting. It also has the potential to enhance staff awareness of interprofessional issues and facilitate staff development.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".