scholarly journals Is Best–Worst Scaling Suitable for Health State Valuation? A Comparison with Discrete Choice Experiments

2016 ◽  
Vol 26 (12) ◽  
Author(s):  
Nicolas Krucien ◽  
Verity Watson ◽  
Mandy Ryan
Keyword(s):  
Discrete Choice ◽  
Choice Experiments ◽  
Health State Valuation ◽  
Discrete Choice Experiments ◽  
Health State ◽  
Best Worst Scaling

scholarly journals Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences

2016 ◽  
Vol 37 (3) ◽  
pp. 285-297 ◽  
Author(s):  
Brendan Mulhern ◽  
Nick Bansback ◽  
Arne Risa Hole ◽  
Aki Tsuchiya
Keyword(s):  
Discrete Choice ◽  
Choice Experiments ◽  
Discrete Choice Experiments ◽  
Health State ◽  
Two Stage ◽  
Health States ◽  
Stage Design ◽  
Choice Sets ◽  
Two Stage Design ◽  
The Uk

Background: Discrete choice experiments incorporating duration can be used to derive health state values for EQ-5D-5L. Yet, methodological issues relating to the duration attribute and the optimal way to select health states remain. The aims of this study were to: test increasing the number of duration levels and choice sets where duration varies (aim 1); compare designs with zero and non-zero prior values (aim 2); and investigate a novel, two-stage design to incorporate prior values (aim 3). Methods: Informed by zero and non-zero prior values, two efficient designs were developed, each consisting of 120 EQ-5D-5L health profile pairs with one of six duration levels (aims 1 and 2). Another 120 health state pairs were selected, with one of six duration levels allocated in a second stage based on existing estimated utility of the states (aim 3). An online sample of 2,002 members of the UK general population completed 10 choice sets each. Differences across the regression coefficients from the three designs were assessed. Results: The zero prior value design produced a model with coefficients that were generally logically ordered, but the non-zero prior value design resulted in a set of less ordered coefficients where some differed significantly. The two-stage design resulted in ordered and significant coefficients. The non-zero prior value design may include more “difficult” choice sets, based on the proportions choosing each profile. Conclusions: There is some indication of compromised “respondent efficiency”, suggesting that the use of non-zero prior values will not necessarily result in better overall precision. It is feasible to design discrete choice experiments in two stages by allocating duration values to EQ-5D-5L health state pairs based on estimates from prior studies.

scholarly journals Discrete choice experiments or best-worst scaling? A qualitative study to determine the suitability of preference elicitation tasks in research with children and young people

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Helen J. Rogers ◽  
Zoe Marshman ◽  
Helen Rodd ◽  
Donna Rowen
Keyword(s):  
Young People ◽  
Discrete Choice ◽  
Choice Experiments ◽  
Preference Elicitation ◽  
Discrete Choice Experiments ◽  
Tooth Decay ◽  
Health States ◽  
Children And Young People ◽  
Best Worst Scaling ◽  
Level Of Understanding

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.

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