Improving chronic care through continuing education of interprofessional primary healthcare teams: a process evaluation
Bibliographic record
Abstract
Process evaluations assess program structures and implementation processes so that outcomes can be accurately interpreted. This article reports the results of a process evaluation of Partnerships for Health, an initiative targeting interprofessional primary healthcare teams to improve chronic care in Southwestern Ontario, Canada. Program documentation, participant observation, and in-depth interviews were used to capture details about the program structure, implementation process, and experience of implementers and participants. Results suggest that the intended program was modified during implementation to better meet the needs of participants and to overcome participation barriers. Elements of program activities perceived as most effective included series of off-site learning/classroom sessions, practice-based/workplace information-technology (IT) support, and practice coaching because they provided: dedicated time to learn how to improve chronic care; team-building/networking within and across teams; hands-on IT training/guidance; and flexibility to meet individual practice needs. This process evaluation highlighted key program activities that were essential to the continuing education (CE) of interprofessional primary healthcare teams as they attempted to transform primary healthcare to improve chronic care.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".