Literature DB >> 9037337

Prevention, policy, and paradox: what is the value of future health?

T G Ganiats1.   

Abstract

Cost-effectiveness is an integral part of health care policy, influencing both medical and administrative decisions. However, current research methodology for evaluating cost-effectiveness produces several paradoxes, perhaps because it incorrectly represents the general populations's view of future health states. Recent work introduces clinical and demographic factors to the traditional cost-benefit model for discounting health outcomes. It suggests a revised model that provides a more accurate basis for health policy decision-making. This revised model will likely improve the apparent cost-effectiveness of prevention programs, which are at a distinct disadvantage in present models. This article presents examples of current paradoxes resulting from the standard discounting methodology, findings on the variability of health outcomes discount rates in patients, and preliminary thoughts on developing a revised model for discounting future health outcomes. This revised model should present the value of health promotion programs more accurately.

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Year:  1997        PMID: 9037337

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  3 in total

1.  Political will: a bridge between public health knowledge and action.

Authors:  DeQuincy A Lezine; Gerald A Reed
Journal:  Am J Public Health       Date:  2007-09-27       Impact factor: 9.308

2.  Using discounting biases, risk characteristics, and perceived control improves preventive programs.

Authors:  Monica Ortendahl
Journal:  Int J Biomed Sci       Date:  2007-06

3.  Measuring the tail of the dog that doesn't bark in the night: the case of the national evaluation of Choose Life (the national strategy and action plan to prevent suicide in Scotland).

Authors:  Mhairi Mackenzie; Avril Blamey; Emma Halliday; Margaret Maxwell; Allyson McCollam; David McDaid; Joanne MacLean; Amy Woodhouse; Stephen Platt
Journal:  BMC Public Health       Date:  2007-07-06       Impact factor: 3.295

  3 in total

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