ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2025
How well do participants understand the questions asked in the Online Personal Utility Functions (OPUF) approach? A cognitive debrief of the EQ-HWB-S (EQ Health and Wellbeing Short version) valuation.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The Influence of Perspective on the Valuation of the EQ-5D-Y-3L: A Comparison Using the OPUF Tool and a Discrete Choice Experiment.PharmacoEconomics · 2026Trial
- Qualitative testing of potential modifications to the EQ-HWB-9 in the United Kingdom.Health and quality of life outcomes · 2026Article
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Authors and funding
8 authors.
Funding
Abstract
purposeOnline elicitation of Personal Utility Functions (OPUF) is an innovative approach to valuing health states. OPUF uses a combination of ranking, swing-weighting, levels-rating and anchoring dead tasks. Little is known about how participants interpret and engage with OPUF tasks. This study aimed to address this gap.
methodCognitive debrief interviews, which included 'think-aloud' and probing questions, were undertaken in the UK to understand how members of the public engage with OPUF when used to value the EQ-HWB-S (EQ Health and Wellbeing Short version). Coding drew upon a Framework approach, with final codes including an assessment of how participants engaged with each of the five OPUF tasks based on whether (1) they completed as expected, (2) minor concerns were identified or (3) major concerns were identified. The presence of major concerns was judged to undermine the validity of responses.
resultsAll 27 interviews were identified to have at least minor concern and 18 (67%) were identified as having major concerns. Major concerns were identified in four of the tasks: ranking (in 19% of interviews), swing-weighting (30%), levels-rating (56%), anchoring dead task (48%). Older participants were more likely to have major errors.
conclusionThink-aloud and probing interviews with 27 participants completing the OPUF identified multiple concerns, to the extent that their data is unlikely to be a valid reflection of their preferences. The extent of concerns identified here suggests the need for interviewer led data collection within OPUF to ensure data quality.
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