Literature DB >> 10730336

Estimating the population impact of an intervention: a decision-analytic approach.

A L Hersh1, W C Black, A N Tosteson.   

Abstract

The aim of this paper is to highlight the role for decision analysis in assessing outcomes of medical interventions at a population level. The basic steps of decision analysis are introduced and an illustrative hypothetical preventive intervention is examined. Specific modelling challenges that arise when estimating the population impact of an intervention are described and each is accompanied by an example. Decision analysis can provide useful information for health policy decision makers by identifying the intervention(s) with the largest beneficial impact on health over a wide range of assumptions. In addition, by focusing attention on the parameters with the greatest influence on projected outcomes, decision analysis can aid in identifying critical areas for future research.

Mesh:

Year:  1999        PMID: 10730336     DOI: 10.1177/096228029900800404

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  4 in total

Review 1.  A systematic review of models used in cost-effectiveness analyses of preventing osteoporotic fractures.

Authors:  L Si; T M Winzenberg; A J Palmer
Journal:  Osteoporos Int       Date:  2013-10-24       Impact factor: 4.507

2.  When there is too much to do: how practicing physicians prioritize among recommended interventions.

Authors:  Timothy P Hofer; Judith K Zemencuk; Rodney A Hayward
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

Review 3.  Coronary heart disease policy models: a systematic review.

Authors:  Belgin Unal; Simon Capewell; Julia Alison Critchley
Journal:  BMC Public Health       Date:  2006-08-18       Impact factor: 3.295

4.  The effect of different public health interventions on longevity, morbidity, and years of healthy life.

Authors:  Paula Diehr; Ann Derleth; Liming Cai; Anne B Newman
Journal:  BMC Public Health       Date:  2007-04-05       Impact factor: 3.295

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.