Integration of chronic disease prevention and management services into primary care: a pragmatic randomized controlled trial (PR1MaC)
Bibliographic record
Abstract
<h3>Background:</h3> Chronic disease prevention and management programs are usually single-disease oriented. Our objective was to evaluate an intervention that targeted multiple chronic conditions and risk factors. <h3>Methods:</h3> We conducted a pragmatic randomized controlled trial involving patients aged 18-75 years with at least 1 of the targeted chronic conditions or risk factors from 8 primary care practices in the Saguenay region of Quebec, Canada, to evaluate an intervention that included self-management support and patient-centred motivational approaches. Self-management (primary outcome) was evaluated using the Health Education Impact Questionnaire (heiQ). Secondary outcomes included self-efficacy, health-related quality of life, psychological distress and health behaviours. <h3>Results:</h3> Three hundred thirty-two patients were recruited and randomly assigned (<i>n</i> = 166 for both intervention and control groups) and evaluated after 3 months. The intervention group showed improvement in 6 of the 8 heiQ domains: health-directed behaviour (relative risk [RR] 1.71, 95% confidence interval [CI] 1.13 to 2.59), emotional well-being (RR 1.73, 95% CI 1.07 to 2.79), self-monitoring and insight (RR 2.40, 95% CI 1.19 to 4.86), constructive attitudes and approaches (RR 2.40, 95% CI 1.37 to 4.21), skill and technique acquisition (RR 1.70, 95% CI 1.14 to 2.53), and health service navigation (RR 1.93, 95% CI 1.08 to 3.47). Improvement was also observed in the Physical Component Summary (<i>p</i> = 0.017) and the Single Index (<i>p</i> = 0.041) of the 12-Item Short Form Health Survey (version 2). The intervention group improved in fruit and vegetable consumption (odds ratio [OR] 2.36, 95% CI 1.41 to 3.95) and physical activity (OR 3.81, 95% CI 1.65 to 8.76). One-year improvement was maintained in the intervention group for several outcomes. <h3>Interpretation:</h3> It is possible to implement an intervention integrating chronic disease prevention and management services into primary care settings. We obtained positive and promising results using this intervention. <b>Trial registration:</b> ClinicalTrials.gov, no.: NCT01319656.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".