Investment in Population Health in Five OECD Countries
Why this work is in the frame
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Bibliographic record
Abstract
There is growing interest in the potential for preventive interventions to improve average health status in OECD countries and to tackle remaining health inequalities. The interest is in a wide range of interventions spanning not only health services but also measures to influence behaviour and lifestyles and action to improve the contribution of the social, economic and physical environments to health. These interventions are referred to in this paper as examples of a government’s ‘population health investment’effort. The paper notes the evidence on trends in health and health inequalities in OECD countries and reviews the general case for population health investments and the evidence on the effectiveness of selected interventions. It focuses on population health investment strategies and institutions in five member countries: Australia, Canada, Korea, Sweden and Switzerland. In particular, it reviews the methods of financing population health investments and levels of ... Un interet croissant se manifeste pour les possibilites d’interventions preventives visant a ameliorer l’etat de sante moyen dans les pays de l’OCDE et a remedier aux inegalites de sante persistantes. Cet interet est porte a un large eventail d’interventions couvrant non seulement les services de sante mais aussi les mesures destinees a agir sur les comportements et les modes de vie et les actions visant a accroitre la contribution des environnements social, economique et physique en matiere de sante. L’eventail de ces interventions peut etre designe sous le terme “investissement dans la sante des populations”. Ce document presente les informations recueillies sur les tendances en matiere de sante et d’inegalites de sante dans les pays de l’OCDE et examine la question generale des investissements dans la sante des populations ainsi que les preuves de l’efficacite de certaines interventions. Il est centre sur les strategies d’investissement dans la sante des populations ...
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it