Literature DB >> 10681904

Public policy frameworks for improving population health.

A R Tarlov1.   

Abstract

Four conceptual frameworks provide bases for constructing comprehensive public policy strategies for improving population health within wealthy (OECD) nations. (1) Determinants of population health. There are five broad categories: genes and biology, medical care, health behaviors, the ecology of all living things, and social/societal characteristics. (2) Complex systems: Linear effects models and multiple independent effects models fail to yield results that explain satisfactorily the dynamics of population health production. A different method (complex systems modeling) is needed to select the most effective interventions to improve population health. (3) An intervention framework for population health improvement. A two-by-five grid seems useful. Most intervention strategies are either ameliorative or fundamentally corrective. The other dimension of the grid captures five general categories of interventions: child development, community development, adult self-actualization, socioeconomic well-being, and modulated hierarchical structuring. (4) Public policy development process: the process has two phases. The initial phase, in which public consensus builds and an authorizing environment evolves, progresses from values and culture to identification of the problem, knowledge development from research and experience, the unfolding of public awareness, and the setting of a national agenda. The later phase, taking policy action, begins with political engagement and progresses to interest group activation, public policy deliberation and adoption, and ultimately regulation and revision. These frameworks will be applied to help understand the 39 recommendations of the Independent Inquiry into Inequalities in Health, the Sir Donald Acheson Report from the United Kingdom, which is the most ambitious attempt to date to develop a comprehensive plan to improve population health.

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Mesh:

Year:  1999        PMID: 10681904     DOI: 10.1111/j.1749-6632.1999.tb08123.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  32 in total

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