Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.

<h4>Background</h4>There are several types of tobacco control interventions/policies which can change future smoking exposure. The most basic intervention types are 1) smoking cessation interventions 2) preventing smoking initiation and 3) implementation of a nationwide policy affecting...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Margarete C Kulik, Wilma J Nusselder, Hendriek C Boshuizen, Stefan K Lhachimi, Esteve Fernández, Paolo Baili, Kathleen Bennett, Johan P Mackenbach, H A Smit
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/dab1982622c6401fa9e18ac1a734f230
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:dab1982622c6401fa9e18ac1a734f230
record_format	dspace
spelling	oai:doaj.org-article:dab1982622c6401fa9e18ac1a734f2302021-11-18T07:26:52ZComparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.1932-620310.1371/journal.pone.0032363https://doaj.org/article/dab1982622c6401fa9e18ac1a734f2302012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22384230/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>There are several types of tobacco control interventions/policies which can change future smoking exposure. The most basic intervention types are 1) smoking cessation interventions 2) preventing smoking initiation and 3) implementation of a nationwide policy affecting quitters and starters simultaneously. The possibility for dynamic quantification of such different interventions is key for comparing the timing and size of their effects.<h4>Methods and results</h4>We developed a software tool, DYNAMO-HIA, which allows for a quantitative comparison of the health impact of different policy scenarios. We illustrate the outcomes of the tool for the three typical types of tobacco control interventions if these were applied in the Netherlands. The tool was used to model the effects of different types of smoking interventions on future smoking prevalence and on health outcomes, comparing these three scenarios with the business-as-usual scenario. The necessary data input was obtained from the DYNAMO-HIA database which was assembled as part of this project. All smoking interventions will be effective in the long run. The population-wide strategy will be most effective in both the short and long term. The smoking cessation scenario will be second-most effective in the short run, though in the long run the smoking initiation scenario will become almost as effective. Interventions aimed at preventing the initiation of smoking need a long time horizon to become manifest in terms of health effects. The outcomes strongly depend on the groups targeted by the intervention.<h4>Conclusion</h4>We calculated how much more effective the population-wide strategy is, in both the short and long term, compared to quit smoking interventions and measures aimed at preventing the initiation of smoking. By allowing a great variety of user-specified choices, the DYNAMO-HIA tool is a powerful instrument by which the consequences of different tobacco control policies and interventions can be assessed.Margarete C KulikWilma J NusselderHendriek C BoshuizenStefan K LhachimiEsteve FernándezPaolo BailiKathleen BennettJohan P MackenbachH A SmitPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e32363 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Margarete C Kulik Wilma J Nusselder Hendriek C Boshuizen Stefan K Lhachimi Esteve Fernández Paolo Baili Kathleen Bennett Johan P Mackenbach H A Smit Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.
description	<h4>Background</h4>There are several types of tobacco control interventions/policies which can change future smoking exposure. The most basic intervention types are 1) smoking cessation interventions 2) preventing smoking initiation and 3) implementation of a nationwide policy affecting quitters and starters simultaneously. The possibility for dynamic quantification of such different interventions is key for comparing the timing and size of their effects.<h4>Methods and results</h4>We developed a software tool, DYNAMO-HIA, which allows for a quantitative comparison of the health impact of different policy scenarios. We illustrate the outcomes of the tool for the three typical types of tobacco control interventions if these were applied in the Netherlands. The tool was used to model the effects of different types of smoking interventions on future smoking prevalence and on health outcomes, comparing these three scenarios with the business-as-usual scenario. The necessary data input was obtained from the DYNAMO-HIA database which was assembled as part of this project. All smoking interventions will be effective in the long run. The population-wide strategy will be most effective in both the short and long term. The smoking cessation scenario will be second-most effective in the short run, though in the long run the smoking initiation scenario will become almost as effective. Interventions aimed at preventing the initiation of smoking need a long time horizon to become manifest in terms of health effects. The outcomes strongly depend on the groups targeted by the intervention.<h4>Conclusion</h4>We calculated how much more effective the population-wide strategy is, in both the short and long term, compared to quit smoking interventions and measures aimed at preventing the initiation of smoking. By allowing a great variety of user-specified choices, the DYNAMO-HIA tool is a powerful instrument by which the consequences of different tobacco control policies and interventions can be assessed.
format	article
author	Margarete C Kulik Wilma J Nusselder Hendriek C Boshuizen Stefan K Lhachimi Esteve Fernández Paolo Baili Kathleen Bennett Johan P Mackenbach H A Smit
author_facet	Margarete C Kulik Wilma J Nusselder Hendriek C Boshuizen Stefan K Lhachimi Esteve Fernández Paolo Baili Kathleen Bennett Johan P Mackenbach H A Smit
author_sort	Margarete C Kulik
title	Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.
title_short	Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.
title_full	Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.
title_fullStr	Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.
title_full_unstemmed	Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.
title_sort	comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the dynamo-hia modeling tool.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/dab1982622c6401fa9e18ac1a734f230
work_keys_str_mv	AT margareteckulik comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT wilmajnusselder comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT hendriekcboshuizen comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT stefanklhachimi comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT estevefernandez comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT paolobaili comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT kathleenbennett comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT johanpmackenbach comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool AT hasmit comparisonoftobaccocontrolscenariosquantifyingestimatesoflongtermhealthimpactusingthedynamohiamodelingtool
_version_	1718423441577607168

Comparison of tobacco control scenarios: quantifying estimates of long-term health impact using the DYNAMO-HIA modeling tool.

Ejemplares similares