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Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol

INTRODUCTION: Smoking remains the leading cause of preventable death in the USA but can be reduced through policy interventions. Computational models of smoking can provide estimates of the projected impact of tobacco control policies and can be used to inform public health decision making. We outli...

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Autores principales: Tam, Jamie, Levy, David T, Jeon, Jihyoun, Clarke, John, Gilkeson, Scott, Hall, Tim, Feuer, Eric J, Holford, Theodore R, Meza, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875683/
https://www.ncbi.nlm.nih.gov/pubmed/29574440
http://dx.doi.org/10.1136/bmjopen-2017-019169
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author Tam, Jamie
Levy, David T
Jeon, Jihyoun
Clarke, John
Gilkeson, Scott
Hall, Tim
Feuer, Eric J
Holford, Theodore R
Meza, Rafael
author_facet Tam, Jamie
Levy, David T
Jeon, Jihyoun
Clarke, John
Gilkeson, Scott
Hall, Tim
Feuer, Eric J
Holford, Theodore R
Meza, Rafael
author_sort Tam, Jamie
collection PubMed
description INTRODUCTION: Smoking remains the leading cause of preventable death in the USA but can be reduced through policy interventions. Computational models of smoking can provide estimates of the projected impact of tobacco control policies and can be used to inform public health decision making. We outline a protocol for simulating the effects of tobacco policies on population health outcomes. METHODS AND ANALYSIS: We extend the Smoking History Generator (SHG), a microsimulation model based on data from the National Health Interview Surveys, to evaluate the effects of tobacco control policies on projections of smoking prevalence and mortality in the USA. The SHG simulates individual life trajectories including smoking initiation, cessation and mortality. We illustrate the application of the SHG policy module for four types of tobacco control policies at the national and state levels: smoke-free air laws, cigarette taxes, increasing tobacco control programme expenditures and raising the minimum age of legal access to tobacco. Smoking initiation and cessation rates are modified by age, birth cohort, gender and years since policy implementation. Initiation and cessation rate modifiers are adjusted for differences across age groups and the level of existing policy coverage. Smoking prevalence, the number of population deaths avoided, and life-years gained are calculated for each policy scenario at the national and state levels. The model only considers direct individual benefits through reduced smoking and does not consider benefits through reduced exposure to secondhand smoke. ETHICS AND DISSEMINATION: A web-based interface is being developed to integrate the results of the simulations into a format that allows the user to explore the projected effects of tobacco control policies in the USA. Usability testing is being conducted in which experts provide feedback on the interface. Development of this tool is under way, and a publicly accessible website is available at http://www.tobaccopolicyeffects.org.
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spelling pubmed-58756832018-04-02 Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol Tam, Jamie Levy, David T Jeon, Jihyoun Clarke, John Gilkeson, Scott Hall, Tim Feuer, Eric J Holford, Theodore R Meza, Rafael BMJ Open Smoking and Tobacco INTRODUCTION: Smoking remains the leading cause of preventable death in the USA but can be reduced through policy interventions. Computational models of smoking can provide estimates of the projected impact of tobacco control policies and can be used to inform public health decision making. We outline a protocol for simulating the effects of tobacco policies on population health outcomes. METHODS AND ANALYSIS: We extend the Smoking History Generator (SHG), a microsimulation model based on data from the National Health Interview Surveys, to evaluate the effects of tobacco control policies on projections of smoking prevalence and mortality in the USA. The SHG simulates individual life trajectories including smoking initiation, cessation and mortality. We illustrate the application of the SHG policy module for four types of tobacco control policies at the national and state levels: smoke-free air laws, cigarette taxes, increasing tobacco control programme expenditures and raising the minimum age of legal access to tobacco. Smoking initiation and cessation rates are modified by age, birth cohort, gender and years since policy implementation. Initiation and cessation rate modifiers are adjusted for differences across age groups and the level of existing policy coverage. Smoking prevalence, the number of population deaths avoided, and life-years gained are calculated for each policy scenario at the national and state levels. The model only considers direct individual benefits through reduced smoking and does not consider benefits through reduced exposure to secondhand smoke. ETHICS AND DISSEMINATION: A web-based interface is being developed to integrate the results of the simulations into a format that allows the user to explore the projected effects of tobacco control policies in the USA. Usability testing is being conducted in which experts provide feedback on the interface. Development of this tool is under way, and a publicly accessible website is available at http://www.tobaccopolicyeffects.org. BMJ Publishing Group 2018-03-23 /pmc/articles/PMC5875683/ /pubmed/29574440 http://dx.doi.org/10.1136/bmjopen-2017-019169 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Smoking and Tobacco
Tam, Jamie
Levy, David T
Jeon, Jihyoun
Clarke, John
Gilkeson, Scott
Hall, Tim
Feuer, Eric J
Holford, Theodore R
Meza, Rafael
Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol
title Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol
title_full Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol
title_fullStr Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol
title_full_unstemmed Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol
title_short Projecting the effects of tobacco control policies in the USA through microsimulation: a study protocol
title_sort projecting the effects of tobacco control policies in the usa through microsimulation: a study protocol
topic Smoking and Tobacco
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875683/
https://www.ncbi.nlm.nih.gov/pubmed/29574440
http://dx.doi.org/10.1136/bmjopen-2017-019169
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