Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic ReviewReport as inadecuate




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PharmacoEconomics - Open

pp 1–13

First Online: 25 April 2017DOI: 10.1007-s41669-017-0025-4

Cite this article as: Regmi, K., Kaphle, D., Timilsina, S. et al. PharmacoEconomics Open 2017. doi:10.1007-s41669-017-0025-4

Abstract

BackgroundEconomic evidence relating to tobacco control is generally derived from the cost effectiveness of smoking-cessation programs or the economic impact of tobacco-induced disease, based on revealed-preference data. However, empirical estimates from stated-preference data on tobacco users’ preferences, smoking behaviour and smoking cessation aids using analytical techniques such as discrete-choice experiments DCEs could be important for policy decision making in tobacco control.

ObjectivesOur objective was to review the practice and utility of DCE methodology across nicotine- and tobacco-related issues, particularly smoking and smoking-cessation behaviour, anti-smoking policies and preferences for smoking-cessation aids.

MethodsWe searched the PubMed, MEDLINE and ECONLIT databases for full-text original research articles on tobacco-related issues published between January 2000 and April 2016 that used a DCE method. We summarised the evidence and methodological characteristics of DCEs according to Lancsar and Louviere, 2008.

ResultsOur review of the 12 eligible studies showed that DCE methodology was used to elicit smoker preferences and to evaluate tobacco-control policies. The majority of the studies were published in the last 5 years. The areas of application were smoking cessation, smoking behaviour, electronic cigarette use, water-pipe smoking and tobacco packaging. Monetary attributes were the most influential attributes in all studies. The design of the DCEs varied.

ConclusionDCE studies of tobacco-related issues were methodologically consistent with guidelines proposed for conducting health-related DCEs.

Electronic supplementary materialThe online version of this article doi:10.1007-s41669-017-0025-4 contains supplementary material, which is available to authorized users.





Author: Kabindra Regmi - Dinesh Kaphle - Sabina Timilsina - Nik Annie Afiqah Tuha

Source: https://link.springer.com/







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