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Testing a discrete choice experiment including duration to value health states for large descriptive systems

Addressing design and sampling issues

Bibliographic Data

ID4602522
AuthorsNick Bansback (0000-0002-1510-3462, Centre for Health Evaluation and Outcome Sciences, corresponding author), Arne R Hole (0000-0002-9413-8101, University of Sheffield), B Mulhern (0000-0003-3656-8063, University of Sheffield), Akiko Tsuchiya (0000-0003-4245-5399, University of Sheffield), Aki Tsuchiya
Year2014
Volume114
Pages38-48
Publication date2014-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2014.05.026
PMID24908173
PMCIDPMC4074344
OpenAlexW2071006029
LanguageEN
Citations received12
References cited31

There is interest in the use of discrete choice experiments that include a duration attribute (DCETTO) to generate health utility values, but questions remain on its feasibility in large health state descriptive systems. This study examines the stability of DCETTO to estimate health utility values from the five-level EQ-5D, an instrument with depicts 3125 different health states. Between January and March 2011, we administered 120 DCETTO tasks based on the five-level EQ-5D to a total of 1799 respondents in the UK (each completed 15 DCETTO tasks on-line). We compared models across different sample sizes and different total numbers of observations. We found the DCETTO coefficients were generally consistent, with high agreement between individual ordinal preferences and aggregate cardinal values. Keeping the DCE design and the total number of observations fixed, subsamples consisting of 10 tasks per respondent with an intermediate sized sample, and 15 tasks with a smaller sample provide similar results in comparison to the whole sample model. In conclusion, we find that the DCETTO is a feasible method for developing values for larger descriptive systems such as EQ-5D-5L, and find evidence supporting important design features for future valuation studies that use the DCETTO

Descriptive statistics · Duration (music · Econometrics · Economics · Respondent · Sample (material · Sample size determination · Statistics · Time-trade-off · Valuation (finance · Computer Science · Economic and Environmental Valuation · Global Health Care Issues · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Psychology

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    Open Access•Pedro Lopes Ferreira, Patrícia Antunes et al.•Quality of Life Research•2019

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    Open Access•Tessa Peasgood, Jesse Carlton et al.•Quality of Life Research•2026

  • Developing a utility value set for the Gambling Quality of Life Scale-Brief (GQoLS-Brief) using a discrete choice experiment

    Open Access•Amandine Luquiens, Henri Panjo et al.•Quality of Life Research•2024

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    Open Access•Sanjeewa Kularatna, Gang Chen et al.•Quality of Life Research•2022

  • Examining the psychometric properties of a split version of the EQ-5D-5L anxiety/depression dimension in patients with anxiety and/or depression

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Unique citing works12
Citations per year1,2
Citation span2016 - 2026 (11)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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