Pacific Institute for Research and Evaluation, University of Baltimore, Calverton, Maryland 20705, USA.
Am J Prev Med. 2010 Mar;38(3 Suppl):S373-81. doi: 10.1016/j.amepre.2009.11.018.
Healthy People (HP2010) set as a goal to reduce adult smoking prevalence to 12% by 2010.
This paper uses simulation modeling to examine the effects of three tobacco control policies and cessation treatment policies-alone and in conjunction-on population smoking prevalence.
Building on previous versions of the SimSmoke model, the effects of a defined set of policies on quit attempts, treatment use, and treatment effectiveness are estimated as potential levers to reduce smoking prevalence. The analysis considers the effects of (1) price increases through cigarette tax increases, (2) smokefree indoor air laws, (3) mass media/educational policies, and (4) evidence-based and promising cessation treatment policies.
Evidence-based cessation treatment policies have the strongest effect, boosting the population quit rate by 78.8% in relative terms. Treatment policies are followed by cigarette tax increases (65.9%); smokefree air laws (31.8%); and mass media/educational policies (18.2%). Relative to the status quo in 2020, the model projects that smoking prevalence is reduced by 14.3% through a nationwide tax increase of $2.00, by 7.2% through smokefree laws, by 4.7% through mass media/educational policies, and by 16.5% through cessation treatment policies alone. Implementing all of the above policies at the same time would increase the quit rate by 296%, such that the HP2010 smoking prevalence goal of 12% is reached by 2013.
The impact of a combination of policies led to some surprisingly positive possible futures in lowering smoking prevalence to 12% within just several years. Simulation models can be a useful tool for evaluating complex scenarios in which policies are implemented simultaneously, and for which there are limited data.
《健康人(HP2010)》计划设定了一个目标,即到 2010 年将成年人吸烟率降低到 12%。
本文使用仿真模型研究了三种烟草控制政策和戒烟治疗政策(单独使用和联合使用)对人群吸烟率的影响。
在之前版本的 SimSmoke 模型基础上,估计了一系列政策对戒烟尝试、治疗使用和治疗效果的影响,这些政策被认为是降低吸烟率的潜在手段。该分析考虑了以下因素的影响:(1)通过提高香烟税来增加价格;(2)无烟室内空气法;(3)大众媒体/教育政策;(4)基于证据和有前途的戒烟治疗政策。
基于证据的戒烟治疗政策效果最强,相对而言,将人群戒烟率提高了 78.8%。治疗政策之后是香烟税增加(65.9%);无烟空气法(31.8%);以及大众媒体/教育政策(18.2%)。与 2020 年的现状相比,模型预测通过全国范围内提高 2 美元的税收,吸烟率将降低 14.3%;通过无烟法律,降低 7.2%;通过大众媒体/教育政策,降低 4.7%;仅通过戒烟治疗政策,降低 16.5%。同时实施所有上述政策将使戒烟率提高 296%,从而使 2013 年达到 HP2010 吸烟率 12%的目标。
多种政策的结合产生了一些令人惊讶的积极的可能结果,可以在短短几年内将吸烟率降低到 12%。仿真模型可以成为评估同时实施政策的复杂情况的有用工具,对于这些情况,数据有限。