2018
DOI: 10.1007/s40273-018-0657-y
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Smoking Cessation: A Comparison of Two Model Structures

Abstract: The model structures themselves did not influence smoking cessation cost-effectiveness results, but long-term assumptions did. When there is variation in long-term predictions between interventions, economic models need a structure that can reflect this.

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Cited by 11 publications
(15 citation statements)
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“…The model does not include the health problems related to passive smoking, such as risk of CHDs in offspring28 and increase in risk for breast cancer 29. That makes our estimations more conservative with respect to cost savings and QALYs, although these three diseases groups do account for over 80% of morbidity (and mortality) associated with smoking and are frequently used in similar studies 15 30. Another limitation is that the model does not include the relapse rate among the quitters.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The model does not include the health problems related to passive smoking, such as risk of CHDs in offspring28 and increase in risk for breast cancer 29. That makes our estimations more conservative with respect to cost savings and QALYs, although these three diseases groups do account for over 80% of morbidity (and mortality) associated with smoking and are frequently used in similar studies 15 30. Another limitation is that the model does not include the relapse rate among the quitters.…”
Section: Discussionmentioning
confidence: 99%
“…One of the reasons of the quality issues is that all those studies are based on short-term follow-up (from 6 months to 1 year), and they have no possibilities to validate the sustainability of short-term effectiveness in real life; thus, they cannot confirm the reported cost-effectiveness results and policy recommendations. Moreover, the long-term assumption, such as relapse rate, might change the results of the smoking cessation cost-effectiveness 15…”
Section: Introductionmentioning
confidence: 99%
“…The economic model simulates the course of TDT disease, treatment and outcomes. It was implemented in Microsoft Excel® using the discretely integrated condition event (DICE) platform [21][22][23]. Design, implementation, and validation followed modeling good research practices recommendations from the International Society for Pharmacoeconomics and Outcomes Research and Society for Medical Decision Making [24].…”
Section: Model Overviewmentioning
confidence: 99%
“…Data provided by SPS added to the robustness of the results and allowed evaluation of a wider range of outcomes. Other strengths of the analysis include the use of a Markov model structure, as in other recent economic evaluations of smoking cessation, 65,[84][85][86] a conservative approach to parameter estimation, and SAs where evidence was scarce. This health economic analysis thus provides a foundation for further research and demonstrates consistent results for an initial benchmark in cost-effectiveness and economic evidence for jurisdictions contemplating a smoke-free prison policy.…”
Section: Strengths and Limitationsmentioning
confidence: 99%