Register for email alerts and news feeds:
This journal | BMJ Group
rss
Tobacco Control 2002;11:47-54; doi:10.1136/tc.11.1.47
Copyright © 2002 by the BMJ Publishing Group Ltd.
Tobacco Control 2002;11:47-54
© 2002 Tobacco Control

RESEARCH PAPER

Examining the effects of tobacco treatment policies on smoking rates and smoking related deaths using the SimSmoke computer simulation model

D T Levy1 and K Friend2

1 Pacific Institute for Research and Evaluation, and University of Baltimore, Baltimore, Maryland, USA
2 Brown University, Center for Alcohol and Addiction Studies, Providence, Rhode Island, USA

Correspondence to:
Correspondence to:
David T Levy, PhD, 14403 Sylvan Glade Drive, N. Potomac, MD 20878, USA;
levy{at}pire.org

Objectives: To develop a simulation model to predict the effects of different smoking treatment policies on quit rates, smoking rates, and smoking attributable deaths.

Methods: We first develop a decision theoretic model of quitting behaviour, which incorporates the decision to quit and the choice of treatment. A model of policies to cover the costs of different combinations of treatments and to require health care provider intervention is then incorporated into the quit model. The policy model allows for the smoker to substitute between treatments and for policies to reduce treatment effectiveness. The SimSmoke computer simulation model is then used to examine policy effects on smoking rates and smoking attributable deaths.

Results: The model of quit behaviour predicts a population quit rate of 4.3% in 1993, which subsequently falls and then increases in recent years to 4.5%. The policy model suggests a 25% increase in quit rates from a policy that mandates brief interventions and the coverage of all proven treatments. Smaller effects are predicted from policies that mandate more restricted coverage of treatments, especially those limited to behavioural treatment. These policies translate into small reductions in the smoking rate at first, but increase to as much as a 5% reduction in smoking rates. They also lead to substantial savings in lives.

Conclusions: Tobacco treatment policies, especially those with broad and flexible coverage, have the potential to increase smoking cessation substantially and decrease smoking rates in the short term, with fairly immediate reductions in deaths.

Keywords: smoking cessation treatment; public policies; insurance coverage

Abbreviations: BIs, brief interventions; CDC, Centers for Disease Control and Prevention; OTC PT, over-the-counter pharmacotherapy; Rx PT, prescription pharmacotherapy


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?

This article has been cited by other articles:

  • Levy, D T, Benjakul, S, Ross, H, Ritthiphakdee, B (2008). The role of tobacco control policies in reducing smoking and deaths in a middle income nation: results from the Thailand SimSmoke simulation model. Tobacco Control 17: 53-59 [Abstract] [Full Text]  
  • Levy, D. T., Bauer, J. E., Lee, H.-r. (2006). Simulation Modeling and Tobacco Control: Creating More Robust Public Health Policies. Am. J. Public Health 96: 494-498 [Abstract] [Full Text]  
  • Lewis, M. J., Wackowski, O. (2006). Dealing With an Innovative Industry: A Look at Flavored Cigarettes Promoted by Mainstream Brands. Am. J. Public Health 96: 244-251 [Abstract] [Full Text]  
  • Lewis, M. J., Yulis, S. G., Delnevo, C., Hrywna, M. (2004). Tobacco Industry Direct Marketing after the Master Settlement Agreement. Health Promot Pract 5: 75S-83S [Abstract]  

This Article

Services
Citing Articles
Google Scholar
PubMed
Bookmark with

Register for free content

The full back archive is now available for all BMJ Journals. Institutional subscribers may access the entire archive as part of their subscription. Personal subscribers will also have access to all content when logged in. Non-subscribers who register have free access to all articles published before 2006 right back to volume 1 issue 1. Register here to access the free archive of all BMJ Journals.

Don't forget to sign up for content alerts so you keep up to date with all the articles as they are published.