Integration of chronic disease prevention and management services into primary care (PR1MaC): findings from an embedded qualitative study
Bibliographic record
Abstract
BACKGROUND: The PR1MaC study was conducted to evaluate the integration of Chronic Disease Prevention and Management services into primary care practices and was reported effective. The aim of this study was to further explore the effects of the PR1MaC intervention on patients and their family. METHODS: We conducted a qualitative study embedded in a randomized controlled trial. The trial was implemented in eight primary health care practices in the Saguenay region, Quebec, Canada. The interdisciplinary patient-centred team-based intervention included self-management support and a motivational approach. We conducted focus groups and semi-directed individual interviews with patients, family members and healthcare professionals. RESULTS: Perceived positive effects can be grouped into six major themes: awareness, improved knowledge, improved motivation and empowerment, adoption of healthy behaviours, improvement of health status and improvement of quality of life. On the negative side, some participants reported lack of sustainability of newly acquired benefits in the months following the intervention. CONCLUSIONS: Integrating chronic disease prevention and management services into primary care settings had impacts on patients and their family members. These findings are consistent with findings that were reported in the quantitative study. Further studies should address longterm sustainabilility in terms of benefits for the patients. TRIAL REGISTRATION: ClinicalTrials.gov, no.: NCT01319656 .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".