From heart health promotion to chronic disease prevention: contributions of the Canadian Heart Health Initiative.
Bibliographic record
Abstract
BACKGROUND: The Canadian Heart Health Initiative began in 1987 as an 18-year undertaking to address the epidemic of cardiovascular disease in Canada. There is growing recognition in Canada of the need for an integrated approach to prevention that addresses common risks for many chronic diseases. CONTEXT: Research and intervention activities of the Canadian Heart Health Initiative have shifted toward chronic disease prevention and health promotion. This study explores the contributions of the Canadian Heart Health Initiative to document how single-disease strategies can evolve into integrated chronic disease prevention efforts. METHODS: Key informant interviews were conducted with project researchers and health system stakeholders from seven Canadian Heart Health Initiative provincial projects. A review of provincial health policy documents was also performed. CONSEQUENCES: Findings indicate that the Canadian Heart Health Initiative projects contributed to public health capacity development, including coalition and partnership building, and development of health knowledge and resource infrastructure. The Canadian Heart Health Initiative projects helped put chronic disease prevention issues onto local and provincial health agendas and provided community-based models to help develop public health policies. INTERPRETATION: Experience with the Canadian Heart Health Initiative shows the need for integrated health programs to build on existing infrastructure. Other requirements for integrated chronic disease prevention programs include shared goals, partnerships at various policy levels and in multiple sectors, ongoing information sharing, and funding that is flexible and long-term.
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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 | 0.015 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| 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".