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

<h4>Background</h4>Currently, no standard tool is publicly available that allows researchers or policy-makers to quantify the impact of policies using epidemiological evidence within the causal framework of Health Impact Assessment (HIA). A standard tool should comply with three technica...

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Autores principales: 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
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Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/18a53df6228b47ecbb4350dcdc369a53
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spelling oai:doaj.org-article:18a53df6228b47ecbb4350dcdc369a532021-11-18T07:19:13ZDYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.1932-620310.1371/journal.pone.0033317https://doaj.org/article/18a53df6228b47ecbb4350dcdc369a532012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22590491/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Currently, no standard tool is publicly available that allows researchers or policy-makers to quantify the impact of policies using epidemiological evidence within the causal framework of Health Impact Assessment (HIA). A standard tool should comply with three technical criteria (real-life population, dynamic projection, explicit risk-factor states) and three usability criteria (modest data requirements, rich model output, generally accessible) to be useful in the applied setting of HIA. With DYNAMO-HIA (Dynamic Modeling for Health Impact Assessment), we introduce such a generic software tool specifically designed to facilitate quantification in the assessment of the health impacts of policies.<h4>Methods and results</h4>DYNAMO-HIA quantifies the impact of user-specified risk-factor changes on multiple diseases and in turn on overall population health, comparing one reference scenario with one or more intervention scenarios. The Markov-based modeling approach allows for explicit risk-factor states and simulation of a real-life population. A built-in parameter estimation module ensures that only standard population-level epidemiological evidence is required, i.e. data on incidence, prevalence, relative risks, and mortality. DYNAMO-HIA provides a rich output of summary measures--e.g. life expectancy and disease-free life expectancy--and detailed data--e.g. prevalences and mortality/survival rates--by age, sex, and risk-factor status over time. DYNAMO-HIA is controlled via a graphical user interface and is publicly available from the internet, ensuring general accessibility. We illustrate the use of DYNAMO-HIA with two example applications: a policy causing an overall increase in alcohol consumption and quantifying the disease-burden of smoking.<h4>Conclusion</h4>By combining modest data needs with general accessibility and user friendliness within the causal framework of HIA, DYNAMO-HIA is a potential standard tool for health impact assessment based on epidemiologic evidence.Stefan K LhachimiWilma J NusselderHenriette A SmitPieter van BaalPaolo BailiKathleen BennettEsteve FernándezMargarete C KulikTim LobsteinJoceline PomerleauJohan P MackenbachHendriek C BoshuizenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 5, p e33317 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
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
DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.
description <h4>Background</h4>Currently, no standard tool is publicly available that allows researchers or policy-makers to quantify the impact of policies using epidemiological evidence within the causal framework of Health Impact Assessment (HIA). A standard tool should comply with three technical criteria (real-life population, dynamic projection, explicit risk-factor states) and three usability criteria (modest data requirements, rich model output, generally accessible) to be useful in the applied setting of HIA. With DYNAMO-HIA (Dynamic Modeling for Health Impact Assessment), we introduce such a generic software tool specifically designed to facilitate quantification in the assessment of the health impacts of policies.<h4>Methods and results</h4>DYNAMO-HIA quantifies the impact of user-specified risk-factor changes on multiple diseases and in turn on overall population health, comparing one reference scenario with one or more intervention scenarios. The Markov-based modeling approach allows for explicit risk-factor states and simulation of a real-life population. A built-in parameter estimation module ensures that only standard population-level epidemiological evidence is required, i.e. data on incidence, prevalence, relative risks, and mortality. DYNAMO-HIA provides a rich output of summary measures--e.g. life expectancy and disease-free life expectancy--and detailed data--e.g. prevalences and mortality/survival rates--by age, sex, and risk-factor status over time. DYNAMO-HIA is controlled via a graphical user interface and is publicly available from the internet, ensuring general accessibility. We illustrate the use of DYNAMO-HIA with two example applications: a policy causing an overall increase in alcohol consumption and quantifying the disease-burden of smoking.<h4>Conclusion</h4>By combining modest data needs with general accessibility and user friendliness within the causal framework of HIA, DYNAMO-HIA is a potential standard tool for health impact assessment based on epidemiologic evidence.
format article
author 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
author_facet 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
author_sort Stefan K Lhachimi
title DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.
title_short DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.
title_full DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.
title_fullStr DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.
title_full_unstemmed DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.
title_sort dynamo-hia--a dynamic modeling tool for generic health impact assessments.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/18a53df6228b47ecbb4350dcdc369a53
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