Eliciting Smoker's Preference for Smoking Cessation Interventions in China: A Discrete Choice Experiment
Author(s)
ABSTRACT WITHDRAWN
OBJECTIVES : External intervention to quit smoking can effectively increase the smoking cessation Success rate of smokers,Yet, testing preferences among smokers are poorly investigated. METHODS : We developed a Discrete Choice Experiment with 5 attributes: Continuous intervention time, Six-month smoking-quitting rate, Distance traveled to obtain intervention, Probability of adverse events, and Intervention cost. By studying the choices that the smoker make in the hypothetical scenarios and comparing the attributes and levels, we can analyze the smoker’s preference of Smoking cessation interventions in China. RESULTS : at present, eight smokers completed the Pre-investigation , Respondents considered Intervention cost as the most important attribute, followed by Six-month smoking-quitting rate, Continuous intervention time, Probability of adverse events, and Distance traveled to obtain intervention, respectively. The estimated preference weight for Technological innovation intervention was higher than Medical intervention. Participants are unwilling to pay too much for quitting smoking, Compared to other studies , smokers in our study place relatively less emphasis on Continuous intervention time and Probability of adverse events. CONCLUSIONS : The present study has shown that Chinese smokers place more emphasis on Intervention cost than Probability of adverse events. Chinese smokers place great preference on Technological innovation intervention, which indicate a popular need of improve application of technological innovations to smoking cessation interventions.This study provided a new idea for the decision makers in the Chinese Public health department.
Conference/Value in Health Info
2021-05, ISPOR 2021, Montreal, Canada
Value in Health, Volume 24, Issue 5, S1 (May 2021)
Code
PNS5
Topic
Epidemiology & Public Health, Health Policy & Regulatory, Health Technology Assessment, Medical Technologies
Topic Subcategory
Decision & Deliberative Processes, Digital Health, Pricing Policy & Schemes, Public Health
Disease
No Specific Disease
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