The Quit Benefits Model: a Markov model for assessing the health benefits and health care cost savings of quitting smoking

The Quit Benefits Model: a Markov model for assessing the health benefits and health care cost savings of quitting smoking

0.00 Avg rating0 Votes
Article ID: iaor20081846
Volume: 5
Issue: 2
Publication Date: Jan 2007
Journal: Cost Effectiveness and Resource Allocation
Authors: ,
Keywords: measurement
Abstract:

In response to the lack of comprehensive information about the health and economic benefits of quitting smoking for Australians, we developed the Quit Benefits Model (QBM). The QBM is a Markov model, programmed in TreeAge, that assesses the consequences of quitting in terms of cases avoided of the four most common smoking-associated diseases, deaths avoided, and quality-adjusted life-years (QALYs) and health care costs saved (in Australian dollars, A$). Quitting outcomes can be assessed for males and females in 14 five year age-groups from 15–19 to 80–84 years. Exponential models, based on data from large case-control and cohort studies, were developed to estimate the decline over time after quitting in the risk of acute myocardial infarction (AMI), stroke, lung cancer, chronic obstructive pulmonary disease (COPD), and death. Australian data for the year 2001 were sourced for disease incidence and mortality and health care costs. Utility of life estimates were sourced from an international registry and a meta-analysis. In this paper, outcomes are reported for simulated subjects followed up for ten years after quitting smoking. Life-years, QALYs and costs were estimated with 0%, 3% and 5% per annum discount rates. Summary results are presented for a group of 1,000 simulated quitters chosen at random from the Australian population of smokers aged between 15 and 74.

Reviews

Required fields are marked *. Your email address will not be published.