Integrated Primary Care Teams (IPCT) pilot project in Quebec: a protocol paper
Bibliographic record
Abstract
INTRODUCTION: The overall aim of this project is to help develop knowledge about primary care delivery models likely to improve the accessibility, quality and efficiency of care. Operationally, this objective will be achieved through supporting and evaluating 8 primary care team pilot sites that rely on an expanded nursing role within a more intensive team-based, interdisciplinary setting. METHODS AND ANALYSIS: The first research component is aimed at supporting the development and implementation of the pilot projects, and is divided into 2 parts. The first part is a logical analysis based on interpreting available scientific data to understand the causal processes by which the objectives of the intervention being studied may be achieved. The second part is a developmental evaluation to support teams in the field in a participatory manner and thereby learn from experience. Operationally, the developmental evaluation phase mainly involves semistructured interviews. The second component of the project design focuses on evaluating pilot project results and assessing their costs. This component is in turn made up of 2 parts. Part 1 is a pre-and-post survey of patients receiving the intervention care to analyse their care experience. In part 2, each patient enrolled in part 1 (around 4000 patients) will be matched with 2 patients followed within a traditional primary care model, so that a comparative analysis of the accessibility, quality and efficiency of the intervention can be performed. The cohorts formed in this way will be followed longitudinally for 4 years. ETHICS AND DISSEMINATION: The project, as well as all consent forms and research tools, have been accepted by 2 health sciences research ethics committees. The procedures used will conform to best practices regarding the anonymity of patients.
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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 | 0.040 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.003 |
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".