Literature DB >> 1543315

Preventive health strategies and the policy makers' paradox.

E Y Brown1, C M Viscoli, R I Horwitz.   

Abstract

The likelihood of developing many diseases is predicted by levels of risk factors. Many public health strategies have been created to apply interventions (for example, drugs, diets, exercise) intended to lower levels of these factors and thereby prevent disease. Often, these strategies are based on the interpretation of incomplete evidence for the effectiveness of the interventions. The reason this evidence is and will likely remain incomplete is explained by the policy makers' paradox. The paradox occurs when evidence for an intervention's effectiveness is obtained in persons with the highest levels of a risk factor, but the application of the intervention may have the greatest potential for reducing disease burden in persons with lower levels. Resolution of the paradox requires consideration of the type and quality of evidence, the society's time preference for risk, and the society's choice about allocation of scarce resources.

Entities:  

Keywords:  Health Care and Public Health

Mesh:

Substances:

Year:  1992        PMID: 1543315     DOI: 10.7326/0003-4819-116-7-593

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  5 in total

1.  Treatment strategies in the prevention of tuberculosis.

Authors:  T L Petty
Journal:  West J Med       Date:  1992-10

Review 2.  The mammography and prostate-specific antigen controversies: implications for patient-physician encounters and public policy.

Authors:  A S Brett
Journal:  J Gen Intern Med       Date:  1995-05       Impact factor: 5.128

3.  Policy research for disease prevention: challenges and practical recommendations.

Authors:  R C Brownson; C J Newschaffer; F Ali-Abarghoui
Journal:  Am J Public Health       Date:  1997-05       Impact factor: 9.308

4.  Global physician budgets as common-property resources: some implications for physicians and medical associations.

Authors:  J Hurley; R Card
Journal:  CMAJ       Date:  1996-04-15       Impact factor: 8.262

5.  Assessing prevention effectiveness using data to drive program decisions.

Authors:  S B Thacker; J P Koplan; W R Taylor; A R Hinman; M F Katz; W L Roper
Journal:  Public Health Rep       Date:  1994 Mar-Apr       Impact factor: 2.792

  5 in total

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