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dc.contributor.authorGordon, Louisa G.
dc.contributor.authorHirst, Nicholas G.
dc.contributor.authorYoung, Robert
dc.contributor.authorBrown, Paul
dc.date.accessioned2018-02-20T12:30:25Z
dc.date.available2018-02-20T12:30:25Z
dc.date.issued2010
dc.date.modified2011-03-10T08:10:09Z
dc.identifier.issn1478-7547
dc.identifier.doi10.1186/1478-7547-8-18
dc.identifier.urihttp://hdl.handle.net/10072/36149
dc.description.abstractBackground 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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent433232 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherBioMed Central
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom18-1
dc.relation.ispartofpageto18-10
dc.relation.ispartofjournalCost Effectiveness and Resource Allocation
dc.relation.ispartofvolume8
dc.rights.retentionY
dc.subject.fieldofresearchMedical and Health Sciences not elsewhere classified
dc.subject.fieldofresearchApplied Economics
dc.subject.fieldofresearchcode119999
dc.subject.fieldofresearchcode1402
dc.titleWithin a smoking-cessation program, what impact does genetic information on lung cancer need to have to demonstrate cost-effectiveness?
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/2.0
gro.description.notepublicPage numbers are not for citation purposes. Instead, this article has the unique article number of 8:18.
gro.rights.copyright© 2010 Gordon et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.date.issued2010
gro.hasfulltextFull Text
gro.griffith.authorGordon, Louisa
gro.griffith.authorHirst, Nick


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