Literature DB >> 11459624

Computer-assisted health impact assessment for intersectoral health policy.

J M Mooy1, L J Gunning-Schepers.   

Abstract

Intersectoral health policy implies negotiations with politicians outside the health sector. Health politicians have a stronger position if they can quantify health impact. In this Dutch case-study we used a computer simulation approach to answer the following questions: Which anti-tobacco intervention has the largest health gain? Will a commuter cycling policy result in any substantial health gain? What is the relative health gain of promoting higher consumption of vegetables and fruit? We concluded that substantial health gain can be achieved if cigarette packet price were to increase by 2 Dutch guilders. A commitment of all general practitioners to implement a smoking cessation intervention will result in a similar health gain. Stimulating commuter cycling could be a promising example of intersectoral health policy. Interventions to promote higher vegetable and fruit consumption will result in a relatively small health gain. Pros and cons of simulation models to support intersectoral health policy are discussed.

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Year:  2001        PMID: 11459624     DOI: 10.1016/s0168-8510(00)00134-2

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  5 in total

Review 1.  What new knowledge would help policymakers better balance investments for optimal health outcomes?

Authors:  David Kindig; Patricia Day; Daniel M Fox; Mark Gibson; James Knickman; Jonathan Lomas; Gregory Stoddart
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

Review 2.  Planning for tomorrow: global cancer incidence and the role of prevention 2020-2070.

Authors:  Isabelle Soerjomataram; Freddie Bray
Journal:  Nat Rev Clin Oncol       Date:  2021-06-02       Impact factor: 66.675

3.  Barriers and Facilitators to Bikeshare Programs: A Qualitative Study in an Urban Environment.

Authors:  Lori Brand Bateman; Mona N Fouad; Andrew Sullivan; Laura Heider; Gabriela R Oates
Journal:  J Transp Health       Date:  2021-04-04

Review 4.  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

5.  PopMod: a longitudinal population model with two interacting disease states.

Authors:  Jeremy A Lauer; Klaus Röhrich; Harald Wirth; Claude Charette; Steve Gribble; Christopher JL Murray
Journal:  Cost Eff Resour Alloc       Date:  2003-02-26
  5 in total

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