Tools for local health in all policies implementation: evidence from an explanatory case study of Kuopio, Finland
Bibliographic record
Abstract
Aims: This paper describes the use of three governance tools for health in all policies utilised to facilitate implementation in the municipality of Kuopio, Finland: impact assessments, a city mandate (the Kuopio strategy), and shared budgets. Methods: An explanatory case study was used. Data sources included semistructured interviews with 10 government employees and scholarly literature. Realist scientific methods were used to reveal mechanisms underlying the use of tools in health in all policies. Results: Strong evidence was found supporting initial and new theory/hypotheses regarding the use of each tool in achieving positive implementation outcomes. Impact assessments facilitated health in all policies by enhancing understanding of health implications. The Kuopio strategy aided in implementation by giving credence to health in all policies work via formal authority. Shared budgets promoted intersectoral discussions and understanding, and a sense of ownership, in addition to allowing time to be spent on health in all policies work and not financial deliberation. Conclusions: Findings confirm the efficacious use of three governance tools in implementing health in all policies in Kuopio. Knowledge and evidence-based guidelines on local health in all policies implementation are needed as this policy approach continues to be recognised and adopted as a means to promote population health and health equity.
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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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".