scholarly journals Comparing results of ranking conjoint analyses, best–worst scaling and discrete choice experiments in a nonhypothetical context

2019 ◽  
Vol 63 (2) ◽  
pp. 221-246 ◽  
Author(s):  
Ahmed Yangui ◽  
Faical Akaichi ◽  
Montserrat Costa‐Font ◽  
José Maria Gil
2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Helen J. Rogers ◽  
Zoe Marshman ◽  
Helen Rodd ◽  
Donna Rowen

Abstract Background Ordinal tasks are increasingly used to explore preferences for health states. This study aimed to determine the suitability of two ordinal preference elicitation tasks (discrete choice experiments (DCE) and best-worst scaling (BWS)) for use with children and young people to generate health state utility values. The study explored children’s understanding, the relationship between their age and level of understanding, and how many tasks they felt they could complete. Methods Children aged 11–16 years were recruited from a secondary school in South Yorkshire, UK. Participants were asked to ‘think aloud’ as they completed a computer-based survey that contained both DCE and BWS tasks relating to dental caries (tooth decay) health states. Health states involved descriptions of the impact of tooth decay on children’s daily lives. One-to-one semi-structured interviews were then held with participants, with use of a topic guide. Qualitative data were transcribed verbatim and analysed thematically. Results A total of 33 children (12 male, 21 female) participated, comprising 5–6 children from each school year group. Children expressed a preference for BWS and demonstrated a better understanding of these tasks than DCE. There was no clear relationship between children’s level of understanding and age. Children felt they could manage between 8 and 10 BWS tasks comfortably. Conclusion This study suggests that BWS tasks are the most appropriate type of preference elicitation task to value health states for children and young people aged 11–16 years to complete.


2011 ◽  
Vol 72 (10) ◽  
pp. 1717-1727 ◽  
Author(s):  
Dimitris Potoglou ◽  
Peter Burge ◽  
Terry Flynn ◽  
Ann Netten ◽  
Juliette Malley ◽  
...  

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Negar Mirzaee ◽  
Amirhossein Takian ◽  
Farshad Farzadfar ◽  
Rajabali Daroudi ◽  
Ali Kazemi Karyani ◽  
...  

Abstract Background Global concerns regarding the significant burden of non-communicable diseases and injuries (NCDIs) exist from both public health and economic perspectives. Our research focuses on the reduction of fatal risks due to NCDIs and the citizens’ preferences about health programs and intervention to reduce premature death due to NCDIs. Governments and health authorities need reliable evidence and information to prioritize the interests of their citizens. One crucial piece of evidence to justify the resources spent on NCDIs is the value derived from the interventions on prevention and NCDIs control. This concept is usually called “Value of Statistical Life” (VSL), meaning the monetary value that individuals place on changes in the risk levels of life- threatening events. To the best of our knowledge, for the first time, our study will estimate the statistical value of life for selected interventions for the prevention and control of NCDIs at both national and sub-national levels in the context of Iran. This paper reports the development of a national protocol through Discrete Choice Experiments (DCEs) method. Methods and designs Our study comprises several stages: (a) a literature review to identify the attributes and levels of the prevention programs and Willingness to Pay (WTP) for reducing the NCDI’s fatal risks; (b) experimental design to assessing, prioritizing, and finalizing the identified attributes and levels; (c) instrumental design to conduct face-to-face structured survey interviews of 3180 respondents aged 18–69 across the entire country; (d) statistical analysis to estimate the results through the Mixed Multinomial logit (MMNL) model. Discussion We anticipate that our findings will help build a stronger empirical basis for monetizing the value of small changes in selected fatality risks. It paves the way for other national or vast VSL estimates for NCDIs, as well as other major causes of morbidity and mortality in the context of Iran, and perhaps other low and middle-income countries (LMICs).


Nutrients ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 2677
Author(s):  
Anastasios Bastounis ◽  
John Buckell ◽  
Jamie Hartmann-Boyce ◽  
Brian Cook ◽  
Sarah King ◽  
...  

Food production is a major contributor to environmental damage. More environmentally sustainable foods could incur higher costs for consumers. In this review, we explore whether consumers are willing to pay (WTP) more for foods with environmental sustainability labels (‘ecolabels’). Six electronic databases were searched for experiments on consumers’ willingness to pay for ecolabelled food. Monetary values were converted to Purchasing Power Parity dollars and adjusted for country-specific inflation. Studies were meta-analysed and effect sizes with confidence intervals were calculated for the whole sample and for pre-specified subgroups defined as meat-dairy, seafood, and fruits-vegetables-nuts. Meta-regressions tested the role of label attributes and demographic characteristics on participants’ WTP. Forty-three discrete choice experiments (DCEs) with 41,777 participants were eligible for inclusion. Thirty-five DCEs (n = 35,725) had usable data for the meta-analysis. Participants were willing to pay a premium of 3.79 PPP$/kg (95%CI 2.7, 4.89, p ≤ 0.001) for ecolabelled foods. WTP was higher for organic labels compared to other labels. Women and people with lower levels of education expressed higher WTP. Ecolabels may increase consumers’ willingness to pay more for environmentally sustainable products and could be part of a strategy to encourage a transition to more sustainable diets.


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