Literature DB >> 20117561

Standard tool for quantification in health impact assessment a review.

Stefan K Lhachimi1, Wilma J Nusselder, Hendriek C Boshuizen, Johan P Mackenbach.   

Abstract

BACKGROUND: The health impact assessment (HIA) of policy proposals is becoming common practice. HIA represents a broad approach with quantification of the impact of policy options at its core. However, no standard tool is available and it remains unclear whether any current model can serve as a standard for the field.
PURPOSE: The aim of this study is to assess whether already existing models can be used as a standard tool for the quantification step in an HIA.
METHODS: A search in 2008 identified 20 models for HIA, of which six are sufficiently generic to allow for various and multiple diseases and different risk factors: Age-Related Morbidity and Death Analysis, Global Burden of Disease, Population Health Modeling, PREVENT, Proportional Life Table Method, and the National Institute for Public Health and the Environment (the Netherlands) Chronic Disease Model. These were evaluated along three proposed model structure criteria (real-life population, dynamic projection, explicit risk-factor states) and three usability criteria (modest data requirements, rich model output, generally accessible) developed to address the needs and requirements of the HIA framework.
RESULTS: Of the six generic models investigated, none fulfills all the proposed criteria as a standard HIA tool. The models are either technically advanced with no or limited accessibility, or they are accessible but oversimplified.
CONCLUSIONS: Further work on models for HIA with equal emphasis on technical appropriateness, availability of data, and end-user-friendly implementation is warranted if the field is to move forward. 2010 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 20117561     DOI: 10.1016/j.amepre.2009.08.030

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


  10 in total

1.  The DYNAMO-HIA model: an efficient implementation of a risk factor/chronic disease Markov model for use in Health Impact Assessment (HIA).

Authors:  Hendriek C Boshuizen; Stefan K Lhachimi; Pieter H M van Baal; Rudolf T Hoogenveen; Henriette A Smit; Johan P Mackenbach; Wilma J Nusselder
Journal:  Demography       Date:  2012-11

2.  A NEIGHBORHOOD-LEVEL POTENTIAL HEALTH IMPACT SCORING TOOL TO SUPPORT LOCAL-LEVEL HEALTH IMPACT ASSESSMENTS.

Authors:  John D Prochaska; Robert N Buschmann; Daniel C Jupiter
Journal:  Cities Health       Date:  2019-08-29

Review 3.  Modelling health and economic impact of nutrition interventions: a systematic review.

Authors:  Mariska Dötsch-Klerk; Maaike J Bruins; Patrick Detzel; Janne Martikainen; Reyhan Nergiz-Unal; Annet J C Roodenburg; Ayla Gulden Pekcan
Journal:  Eur J Clin Nutr       Date:  2022-10-04       Impact factor: 4.884

Review 4.  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

5.  To what extent could cardiovascular diseases be reduced if Germany applied fiscal policies to increase fruit and vegetable consumption? A quantitative health impact assessment.

Authors:  Johanna-Katharina Schönbach; Stefan K Lhachimi
Journal:  Public Health Nutr       Date:  2020-07-14       Impact factor: 4.022

6.  DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.

Authors:  Stefan K Lhachimi; Wilma J Nusselder; Henriette A Smit; Pieter van Baal; Paolo Baili; Kathleen Bennett; Esteve Fernández; Margarete C Kulik; Tim Lobstein; Joceline Pomerleau; Johan P Mackenbach; Hendriek C Boshuizen
Journal:  PLoS One       Date:  2012-05-10       Impact factor: 3.240

7.  Potential health gains and health losses in eleven EU countries attainable through feasible prevalences of the life-style related risk factors alcohol, BMI, and smoking: a quantitative health impact assessment.

Authors:  Stefan K Lhachimi; Wilma J Nusselder; Henriette A Smit; Paolo Baili; Kathleen Bennett; Esteve Fernández; Margarete C Kulik; Tim Lobstein; Joceline Pomerleau; Hendriek C Boshuizen; Johan P Mackenbach
Journal:  BMC Public Health       Date:  2016-08-05       Impact factor: 3.295

8.  Substituting polyunsaturated fat for saturated fat: A health impact assessment of a fat tax in seven European countries.

Authors:  Johanna-Katharina Schönbach; Wilma Nusselder; Stefan K Lhachimi
Journal:  PLoS One       Date:  2019-07-10       Impact factor: 3.240

9.  Assessing Health Impacts of Pictorial Health Warning Labels on Cigarette Packs in Korea Using DYNAMO-HIA.

Authors:  Eunjeong Kang
Journal:  J Prev Med Public Health       Date:  2017-06-25

10.  Potential impact of reduced tobacco use on life and health expectancies in Belgium.

Authors:  Martina Otavova; Herman Van Oyen; Renata T C Yokota; Rana Charafeddine; Luk Joossens; Geert Molenberghs; Wilma J Nusselder; Hendriek C Boshuizen; Brecht Devleesschauwer
Journal:  Int J Public Health       Date:  2019-11-28       Impact factor: 3.380

  10 in total

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