Evidence map›Paper›PMID 40055295›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2025

Test-retest reliability of the Online Elicitation of Personal Utility Functions (OPUF) approach for valuing the EQ-HWB-S.

Aisha Moolla, Paul Schneider, Ole Marten, Clara Mukuria, Tessa Peasgood

Abstract read
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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 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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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Aisha MoollaSheffield Centre for Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK. amoolla1@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-9768-5389
Paul SchneiderSheffield Centre for Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.
Ole MartenDepartment of Health Economics and Health Care Management, Bielefeld University, Bielefeld, Germany.
Clara MukuriaSheffield Centre for Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.
Tessa PeasgoodSheffield Centre for Health and Related Research, University of Sheffield, 30 Regent Street, Sheffield, S1 4DA, UK.

Funding

EuroQol Research Foundation EQ Project 1508-RAUniversity of Sheffield University of SheffieldWellcome TrustWellcome Trust 218462/Z/19/Z
6 · The paper itself

Abstract

introductionThe EQ Health and Wellbeing Short (EQ-HWB-S) is a new 9-item instrument designed to generate utility values. However, its length makes traditional preference elicitation challenging. The Online elicitation of Personal Utility Functions (OPUF) approach has been tested as a potential solution. This study aimed to assess the test-retest reliability of OPUF for valuing the EQ-HWB-S.

methodsThe OPUF survey was administered twice, two weeks apart, to 220 German participants, including 73 from the general population and 147 patients with diabetes or rheumatic disease. Test-retest reliability was evaluated at individual and aggregate levels, examining dimension rankings, swing weights, level weights, and anchoring factors. Continuous data were analysed using the intraclass correlation coefficient (ICC), and ranking data were compared using Spearman's correlation coefficient. Individual and aggregate level utility decrements were assessed using ICC and t-tests.

resultsApproximately 36% of participants had significantly correlated dimension ranks, with 42% selecting the same top-ranked dimension. Poor agreement was shown in 70% of ICC values for individual dimension swing weights. For intermediate level weights, ICC values showed poor agreement in 70% and moderate agreement in 30% of responses. The kappa for individual pairwise comparison tasks was 0.64 (95% CI: 0.54-0.75) showing moderate agreement; however, the ICC for individual-level anchoring factors was 0.12 (p < 0.05), indicating poor agreement. Aggregate utility decrements across dimensions were similar.

conclusionThe OPUF approach generates reliable aggregate value sets for the EQ-HWB-S, but further exploration is needed to understand and address the reasons behind inconsistencies at the individual level.

Indexed as

Health StatusQuality of LifeAdultAgedDiabetes MellitusFemaleGermanyHumansInternetMaleMiddle AgedReproducibility of ResultsRheumatic DiseasesSurveys and QuestionnairesYoung AdultEQ-HWBHealth valuationMulti-attribute value theoryMulti-criteria decision analysisPersonal utility functionPreference elicitation

Identifiers

PMID40055295
PMCPMC12431937

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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.