ArticleJournal of patient-reported outcomes2021
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.
Article in Journal of patient-reported outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.
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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
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Who cites it
21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- A systematic review of condition-specific preference-based measures used in young people and their valuation methods.Journal of patient-reported outcomes · 2024Pooled it
- Using best-worst scaling to inform policy decisions in Africa: a literature review.BMC public health · 2024Pooled it
- Preference Elicitation Techniques Used in Valuing Children's Health-Related Quality-of-Life: A Systematic Review.PharmacoEconomics · 2022Pooled it
- Systematic Review of Conceptual, Age, Measurement and Valuation Considerations for Generic Multidimensional Childhood Patient-Reported Outcome Measures.PharmacoEconomics · 2022Pooled it
- Developing a prospective ethical governance framework for a discrete choice experiment involving children aged 6-12 years: the PREF-ANX Kids study.BMC medical ethics · 2026Article
- Understanding decision-making strategies in discrete choice experiment tasks when valuing health states that include duration, a cognitive interview study with Australian adults.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026Article
- Measuring health‑ and oral health-related quality of life in secondary school pupils: a head‑to‑head psychometric comparison of CHU9D and CARIES-QC-U.BMC oral health · 2025Article
- Eliciting and Anchoring Health State Preferences Using Discrete Choice Experiments Among Adults, Adolescents, and Children.PharmacoEconomics · 2025Article
- Discrete Choice Experiment Versus Best-Worst Scaling: An Empirical Comparison in Eliciting Young People's Preferences for Web-Based Mental Health Interventions.The patient · 2025Article
- An Empirical Comparison of Discrete Choice Experiment and Best-Worst Scaling to Estimate Patient Preferences in Infertility Treatment in China.Patient preference and adherence · 2025Article
- The development of a capability wellbeing measure in economic evaluation for children and young people aged 11-15.Social science & medicine (1982) · 2024Article
- Comparing Discrete Choice Experiment with Swing Weighting to Estimate Attribute Relative Importance: A Case Study in Lung Cancer Patient Preferences.Medical decision making : an international journal of the Society for Medical Decision Making · 2024Article
- Valuing selected WAItE health states using the Time Trade-Off methodology: findings from an online interviewer-assisted remote survey.Journal of patient-reported outcomes · 2024Article
- Comparing the Self-Reported Acceptability of Discrete Choice Experiment and Best-Worst Scaling: An Empirical Study in Patients with Type 2 Diabetes Mellitus.Patient preference and adherence · 2024Article
- Exploring the Issues of Valuing Child and Adolescent Health States Using a Mixed Sample of Adolescents and Adults.PharmacoEconomics · 2022Article
- Transforming challenges into opportunities: conducting health preference research during the COVID-19 pandemic and beyond.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Adolescent valuation of CARIES-QC-U: a child-centred preference-based measure of dental caries.Health and quality of life outcomes · 2022Article
- Development of a Patient Decision Aid for Refractive Eye Surgery.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- How to assess? Student preferences for methods to assess experiential learning: A best-worst scaling approach.PloS one · 2022Article
- Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOrdinal 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.
methodsChildren 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.
resultsA 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.
conclusionThis 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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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.