Analyzing the Interprofessional Working of a Home-Based Primary Care Team
Bibliographic record
Abstract
Increasingly, interprofessional teams are responsible for providing integrated health care services. Effective teams, however, are not the result of chance but require careful planning and ongoing attention to team processes. Based on a case study involving interviews, participant observation, and a survey, we identified key attributes for effective interprofessional working (IPW) within a home-based primary care (HBPC) setting. Recognizing the importance of a theoretical model that reflects the multidimensional nature of team effectiveness research, we employed the integrated team effectiveness model to analyze our findings. The results indicated that a shared vision, common goals, respect, and trust among team members – as well as processes for ongoing communication, effective leadership, and mechanisms for conflict resolution – are vital in the development of a high-functioning IPW team. The ambiguity and uncertainty surrounding the context of service provision (clients' homes), as well the negotiation of external relationships in the HBPC field, require further investigation.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".