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通过微观模拟预测美国烟草控制政策的效果:一项研究方案

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

作者信息

Tam Jamie, Levy David T, Jeon Jihyoun, Clarke John, Gilkeson Scott, Hall Tim, Feuer Eric J, Holford Theodore R, Meza Rafael

机构信息

Department of Health Management and Policy, University of Michigan, Ann Arbor, Michigan, USA.

Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.

出版信息

BMJ Open. 2018 Mar 23;8(3):e019169. doi: 10.1136/bmjopen-2017-019169.

Abstract

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.

摘要

引言

在美国,吸烟仍是可预防死亡的首要原因,但可通过政策干预来减少吸烟。吸烟的计算模型能够提供烟草控制政策预计影响的估计值,并可用于为公共卫生决策提供依据。我们概述了一个用于模拟烟草政策对人群健康结果影响的方案。

方法与分析

我们扩展了吸烟史生成器(SHG),这是一个基于国家健康访谈调查数据的微观模拟模型,以评估烟草控制政策对美国吸烟流行率和死亡率预测的影响。SHG模拟个体生命轨迹,包括开始吸烟、戒烟和死亡情况。我们阐述了SHG政策模块在国家和州层面四种烟草控制政策类型中的应用:无烟空气法、卷烟税、增加烟草控制项目支出以及提高合法获取烟草的最低年龄。开始吸烟率和戒烟率会根据年龄、出生队列、性别以及政策实施后的年份进行调整。针对不同年龄组的差异和现有政策覆盖水平对开始吸烟率和戒烟率修正因子进行调整。在国家和州层面,针对每个政策情景计算吸烟流行率、避免的人口死亡数量以及获得的生命年数。该模型仅考虑通过减少吸烟带来的直接个体益处,而不考虑通过减少二手烟暴露带来的益处。

伦理与传播

正在开发一个基于网络的界面,以便将模拟结果整合为一种格式,让用户能够探究美国烟草控制政策的预计影响。正在进行可用性测试,专家会对该界面提供反馈。此工具的开发正在进行中,可通过http://www.tobaccopolicyeffects.org访问一个公开网站。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882c/5875683/d3d00940f243/bmjopen-2017-019169f01.jpg

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