Building positive relationships in healthcare: Evaluation of the teams of interprofessional staff interprofessional education program
Bibliographic record
Abstract
The Teams of Interprofessional Staff (TIPS) project consisted of five healthcare teams from across Ontario, participating in three, two-day face-to-face interprofessional educational (IPE) sessions over an 8-month period. The purpose of TIPS was to explore whether interprofessional team development for practicing healthcare professionals, makes a difference in team functioning, team member satisfaction, ability to work effectively both individually and as a team, and improved patient well-being. A comprehensive formative and summative evaluation revealed that all teams perceived they benefitted from and engaged in successful team development. Success meant different things to each team reflecting the continuum of team development from building a safe, trusted group to becoming leaders of team development for other interprofessional teams. Effective teamwork is crucial to nurses who often take on the role of coordinator of care on a day-to-day basis, or are in managerial roles in interprofessional clinics or clinical program teams.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".