ReviewPharmacoEconomics - open2018
Application of Discrete-Choice Experiment Methods in Tobacco Control: A Systematic Review.
Review in PharmacoEconomics - open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- Discrete Choice Experiments in Health Economics: Past, Present and Future.PharmacoEconomics · 2019Pooled it
- Discrete Choice Experiment on Financial Incentives for Engaging Young Adults in Vaping Cessation Programs.Substance use & misuse · 2025Trial
- Effects of tobacco product type and characteristics on appeal and perceived harm: Results from a discrete choice experiment among Guatemalan adolescents.Preventive medicine · 2021Trial
- Tobacco control policies that influence Filipino adults who smoke: Results from a discrete choice experiment.Tobacco induced diseases · 2026Article
- Monetary Risk Preferences and Demand for Preventative Treatment: A Discrete Choice Experiment Among Individuals at High Risk for Lung Cancer.Patient preference and adherence · 2026Article
- A Break from the Norm? Parametric Representations of Preference Heterogeneity for Discrete Choice Models in Health.Medical decision making : an international journal of the Society for Medical Decision Making · 2025Article
- Effectiveness of signage in preventing adolescents and young adults from accessing e-cigarettes in retail stores: a discrete-choice experiment.Tobacco control · 2025Article
- Cigarette consumption from a life-course perspective in low- and middle-income countries.Bulletin of the World Health Organization · 2025Article
- Article
- Effects of cigarette price and packaging on hypothetical quit-smoking behaviour: a discrete choice experiment among Vietnamese adults who smoke.Tobacco control · 2025Article
- Discrete choice experiments: a primer for the communication researcher.Frontiers in communication · 2025Article
- Article
- Article
- Cannabis consumers' preferences for legal and illegal cannabis: evidence from a discrete choice experiment.BMC public health · 2024Article
- Assessing the job preferences of senior medical students for mandatory service: a discrete choice experiment.Primary health care research & development · 2024Article
- Messaging about very low nicotine cigarettes (VLNCs) to influence policy attitudes, harm perceptions and smoking motivations: a discrete choice experiment.Tobacco control · 2024Article
- Discrete choice experiment for dyadic data collection: eliciting preferences of couple-based smoking cessation interventions.Women's health nursing (Seoul, Korea) · 2024Article
- Tobacco minimum packaging policy to reduce cigarillo use among young people: results of an experimental study.Tobacco control · 2024Article
- Effects of reduced nicotine content cigarette advertising with warning labels and social media features on product perceptions among young adults.Journal of behavioral medicine · 2023Article
- Will tobacco price increases lead more people who smoke to vape? The results from a discrete choice experiment amongst U.S. adults.BMC public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.