DYNAMO-HIA–A Dynamic Modeling Tool for Generic Health Impact Assessments

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 populatio...

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Vydáno v:PloS one Ročník 7; číslo 5; s. e33317
Hlavní autoři: Lhachimi, Stefan K., Nusselder, Wilma J., Smit, Henriette A., van Baal, Pieter, Baili, Paolo, Bennett, Kathleen, Fernández, Esteve, Kulik, Margarete C., Lobstein, Tim, Pomerleau, Joceline, Mackenbach, Johan P., Boshuizen, Hendriek C.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Public Library of Science 10.05.2012
Public Library of Science (PLoS)
Témata:
Accessibility
Age
Alcohol
Alcohol use
Alcoholic beverages
Biometrics
care
Chronic illnesses
Computer simulation
Construction standards
Costs
Criteria
Data requirements
Diabetes
Disease
Disease prevention
Dynamic models
Epidemiologic Methods
Epidemiology
Forecasts and trends
Graphical user interface
Health risks
Health sciences
Humans
Hàbit de fumar
Information storage and retrieval
Intervention
Life expectancy
Life span
Markov chains
Medical policy
Medicine
Modelling
Models, Theoretical
Mortality
Obesity
Parameter estimation
Policies
Política sanitària
Population
projection
Public health
Risk assessment
Risk factors
Salut pública
Simulation
Smoking
Social and Behavioral Sciences
Software
Software development tools
standard tool
Survival
Tobacco
Tobbacco habit
Netherlands
Spain
ISSN:1932-6203, 1932-6203
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Popis
Shrnutí: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. 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. 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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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Conceived and designed the experiments: SKL WJN HS PvB JPM HCB. Analyzed the data: SKL. Wrote the paper: SKL. Collected and validated data on all respective diseases and/or risk factors: PB KB EF MCK TL JP.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0033317