Within a smoking-cessation program, what impact does genetic information on lung cancer need to have to demonstrate cost-effectiveness?

被引:5
|
作者
Gordon L.G. [1 ]
Hirst N.G. [1 ]
Young R.P. [2 ]
Brown P.M. [3 ]
机构
[1] Queensland Institute of Medical Research, Genetics and Population Health Division, PO Royal Brisbane Hospital
[2] Department of Medicine, Auckland Hospital, Auckland
[3] School of Population Health, The University of Auckland, Auckland 1142, Cnr Morrin and Meriton Rds, Glen Innes
基金
英国医学研究理事会;
关键词
Lung Cancer; Genetic Test; Relapse Rate; Nicotine Replacement Therapy; Varenicline;
D O I
10.1186/1478-7547-8-18
中图分类号
学科分类号
摘要
Background: Many smoking-cessation programs and pharmaceutical aids demonstrate substantial health gains for a relatively low allocation of resources. Genetic information represents a type of individualized or personal feedback regarding the risk of developing lung cancer, and hence the potential benefits from stopping smoking, may motivate the person to remain smoke-free. The purpose of this study was to explore what the impact of a genetic test needs to have within a typical smoking-cessation program aimed at heavy smokers in order to be cost-effective.Methods: Two strategies were modelled for a hypothetical cohort of heavy smokers aged 50 years; individuals either received or did not receive a genetic test within the course of a usual smoking-cessation intervention comprising nicotine replacement therapy (NRT) and counselling. A Markov model was constructed using evidence from published randomized controlled trials and meta-analyses for estimates on 12-month quit rates and long-term relapse rates. Epidemiological data were used for estimates on lung cancer risk stratified by time since quitting and smoking patterns. Extensive sensitivity analyses were used to explore parameter uncertainty.Results: The discounted incremental cost per QALY was AU$34,687 (95% CI $12,483, $87,734) over 35 years. At a willingness-to-pay of AU$20,000 per QALY gained, the genetic testing strategy needs to produce a 12-month quit rate of at least 12.4% or a relapse rate 12% lower than NRT and counselling alone for it to be equally cost-effective. The likelihood that adding a genetic test to the usual smoking-cessation intervention is cost-effective was 20.6% however cost-effectiveness ratios were favourable in certain situations (e.g., applied to men only, a 60 year old cohort).Conclusions: The findings were sensitive to small changes in critical variables such as the 12-month quit rates and relapse rates. As such, the cost-effectiveness of the genetic testing smoking cessation program is uncertain. Further clinical research on smoking-cessation quit and relapse rates following genetic testing is needed to inform its cost-effectiveness. © 2010 Gordon et al; licensee BioMed Central Ltd.
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