Organizational capacity for chronic disease prevention: A survey of Canadian public health organizations
Bibliographic record
Abstract
BACKGROUND: There are no national data on levels of organizational capacity within the Canadian public health system to reduce the burden of chronic disease. METHODS: Cross-sectional data were collected in a national survey (October 2004 to April 2005) of all 216 national, provincial and regional-level organizations engaged in chronic disease prevention through primary prevention or healthy lifestyle promotion. Levels of organizational capacity (defined as skills and resources to implement chronic disease prevention programmes), potential determinants of organizational capacity and involvement in chronic disease prevention programming were compared in western, central and eastern Canada and across three types of organizations (formal public health organizations, non-governmental organizations and grouped organizations). RESULTS: Forty percent of organizations were located in Central Canada. Approximately 50% were formal public health organizations. Levels of skill and involvement were highest for activities that addressed tobacco control and healthy eating; lowest for stress management, social determinants of health and programme evaluation. The few notable differences in skill levels by provincial grouping favoured Central Canada. Resource adequacy was rated low across the country; but was lowest in eastern Canada and among formal public health organizations. Determinants of organizational capacity (organizational supports and partnerships) were highest in central Canada and among grouped organizations. CONCLUSION: These data provide an evidence base to identify strengths and gaps in organizational capacity and involvement in chronic disease prevention programming in the organizations that comprise the Canadian public health system.
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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 | 0.035 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".