Using appreciative inquiry to understand the integration of interprofessional teams within primary care
Bibliographic record
Abstract
Over the past fifteen years, primary care networks have been established across Canada; spaces whereby people can access a first point of contact with healthcare professionals focused on chronic disease management, health maintenance, and prevention. British Columbia has recently launched a model of primary care networks and interprofessional teams in response to a current health system challenged with demands related to an aging population and increased prevalence of chronic disease and disability. Using appreciative inquiry for understanding organizational social system change, information was gathered to explore the strengths and directional change needed as shared by primary care providers and case managers working in a Vancouver Island health authority primary care network. The purpose of the project was to understand how these providers could work more effectively within integrated interprofessional teams. Actions focused on the process of facilitating connection, communication, relationship, collaboration and autonomy within these networks are explicated.
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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 | 0.017 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.057 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.003 | 0.007 |
| 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 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".