Chronic disease prevention and management programs in primary care: Realist synthesis of 6 programs in Quebec.
Bibliographic record
Abstract
OBJECTIVE: To identify the mechanisms associated with success and failure of chronic disease prevention and management (CDPM) programs, as well as their key contexts. DESIGN: Realist synthesis. SETTING: Six primary care CDPM programs funded between 2011 and 2013 in Quebec. PARTICIPANTS: Patients, health providers, program leaders, and other stakeholders involved in CDPM programs. METHODS: A collaborative research process was implemented, involving representatives from the executive and advisory committees: researchers, health care providers, decision makers, and patients and families. Leaders were asked to provide all documents related to their programs to the research team. The documents were selected depending on their relevance and rigour. The thematic analysis of each program consisted of identifying the outcomes and mechanisms, as well as the specific contexts associated with these outcomes. Results for each program were validated by its leader before synthesizing the results of all programs together. MAIN FINDINGS: A total of 108 documents (eg, grant applications, scientific reports) were collected from the programs. Positive and negative outcomes were observed at the patient, health care provider, and health care system levels. Four main mechanism categories were associated with outcomes: patient-centred interdisciplinary care; self-management support and a motivational approach; professional support; and care coordination and relationships with partners. The main contextual factors that influenced the successes of these mechanisms were related to patients (multimorbidity, involvement of family caregivers), to health care providers (professional training, culture of interprofessional collaboration, mobilization of family physician), and to health care organizations (coordination between services, history of collaboration between partners, funding). CONCLUSION: This study confirms the essential role of patient-centred interdisciplinary care; self-management support and a motivational approach; professional support; and care coordination and relationships with partners when caring for patients with chronic diseases. It constitutes a relevant contribution for stakeholders involved in primary care transformation and should be used to inform the sustainability and scaling up of CDPM programs.
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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 | 0.018 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.017 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".