Evaluation of the Implementation of PRISMA, a Coordination‐Type Integrated Service Delivery System for Frail Older People in Québec
Bibliographic record
Abstract
PRISMA is the only example of a co‐ordinated‐type model to be developed and fully implemented with a process and outcome evaluation. The PRISMA model was implemented in three areas (urban, rural with or without a local hospital) in Quebec, Canada and an implementation evaluation was carried out using mixed (qualitative and quantitative) methods. Over four years, the implementation rates went from 22% to 79%. The perception of integration by managers and clinicians working in the various organisations of the network shows that most interactions are perceived as at the co‐operation level, some getting the highest collaboration level. The perception of the efficacy of case managers was very high. Implementing such a model is feasible, and the decision to generalise it was made in Quebec. This model might be more appropriate for a universal publicly funded health care system like those in Canada, the UK and the Scandinavian countries.
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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 | 0.029 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".