Attendance, activation and health profiles of participants in a regional chronic disease self-management program in Laval, Canada
Bibliographic record
Abstract
Abstract Background : Chronic diseases are responsible for over 70% of all deaths globally. While some self-management programs have been shown to be efficacious in preventing or altering trajectories for some chronic conditions, scaling-up and sustaining such programs beyond tightly-controlled study conditions remain a major challenge. The objective of the current study was to describe the profile of attendees and the level of engagement of participants in a new, region-wide cardiometabolic disease self-management program offered in Laval, Canada. Methods : CISSS-Laval partnered with the Cardiovascular Health Awareness Program team to co-develop Cible-santé and evaluate the first cohort of participants enrolled in the program, in order to better understand the program's implementation and scope. Trained volunteers (supervised by a nurse) assisted participants with physical measurements (blood pressure, height, weight and waist circumference), a questionnaire on healthy habits, and assessment of cardiovascular disease and type 2 diabetes risk. Results : The evaluation of the first cohort of Cible-Santé participants showed very low attendance. Furthermore, only 1 in 10 of enrolled participants completed the full program. The program typically attracted adults with some risk factors associated with their chronic conditions (high waist circumference, obesity), but with an already high level of knowledge, skills and confidence to participate in self-management activities. Conclusion : A limitation of the study is the lack of data regarding the number of professionals who referred their patients to the program. This study provides a portrait of new participants to a self-management chronic disease program, which highlights the potential of supporting chronic disease patients ready to make changes but also exposes the difficulty of attracting a larger number and diversity of participants and in encouraging completion of the program.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".