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Smoking Cessation Treatment and Outcomes Patterns Simulation: A New Framework for Evaluating the Potential Health and Economic Impact of Smoking Cessation Interventions

Author

Listed:
  • Denis Getsios
  • Jenő Marton
  • Nikhil Revankar
  • Alexandra Ward
  • Richard Willke
  • Dale Rublee
  • K. Ishak
  • James Xenakis

Abstract

By allowing for multiple quit attempts over the course of individuals’ lives, the simulation can provide more reliable estimates on the health and economic impact of interventions designed to increase abstinence from smoking. Furthermore, the individual nature of the simulation allows for evaluation of outcomes in populations with different baseline profiles. DES provides a framework for comprehensive and appropriate predictions when applied to smoking cessation over smoker lifetimes. Copyright Springer International Publishing Switzerland 2013

Suggested Citation

  • Denis Getsios & Jenő Marton & Nikhil Revankar & Alexandra Ward & Richard Willke & Dale Rublee & K. Ishak & James Xenakis, 2013. "Smoking Cessation Treatment and Outcomes Patterns Simulation: A New Framework for Evaluating the Potential Health and Economic Impact of Smoking Cessation Interventions," PharmacoEconomics, Springer, vol. 31(9), pages 767-780, September.
    • Handle: RePEc:spr:pharme:v:31:y:2013:i:9:p:767-780
    DOI: 10.1007/s40273-013-0070-5
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    Cited by:

    1. Eren Demir & David Southern, 2017. "Enabling better management of patients: discrete event simulation combined with the STAR approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(5), pages 577-590, May.

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