Valuation of the EQ-5D-Y-5L Using DCE Methods That Account for Nonlinear Time Preferences

ObjectivesDiscrete choice experiment (DCE) methods that account for nonlinear time preferences have been tested in adult EQ-5D instruments but have yet to be tested for the valuation of EQ-5D-Y instruments. The aims of this study were to test the feasibility of using DCE methods that model nonlinear time preferences for the valuation of the EQ-5D-Y-5L as well as to explore the impact of the perspective adult respondents are asked to take.MethodsA representative Australian adult general population sample completed an online survey that included 15 DCE split triplet tasks. Depending on arm assignment, respondents were asked to imagine themselves or a 10-y-old when choosing between health states. A Bayesian efficient design was used to construct DCE tasks; the design was updated 3 times. Data were analyzed using correlated mixed logit models with exponential discounting.ResultsThere were 955 and 947 respondents in the "self" and "10-y-old" arms, respectively. When nonlinear modeling is used, there is evidence of discounting in the "self" (17%) and "10-y-old" (15%) perspective. Avoiding the experience of pain and discomfort were most important in both arms. When imagining a 10-y-old, rather than "self," respondents considered being worried, sad, or unhappy to be more important. Sensitivity analysis revealed that nonparents considered a higher number of health states to be worse than dead when imagining themselves.ConclusionsThis is the first study to use a nonlinear DCE approach in the valuation of the EQ-5D-Y-5L and in pediatric health-related quality of life more generally. Nonlinear modeling methods were found to be suitable for the valuation of the EQ-5D-Y-5L.HighlightsThere is evidence that modeling for nonlinear time preferences is suitable for the valuation of adult health-related quality of life (HRQoL). It is unknown how time preferences affect the valuation of pediatric instruments, such as the EQ-5D-Y-5L, and whether this differs when adults are asked to imagine "self" versus a "10-y-old."There was evidence of nonlinear time preferences when adult respondents value health states for a 10-y-old using a discrete choice experiment (DCE) that included a duration attribute. Perspective was a strong driver of estimating states worse than dead: 42% of health states were considered worse than dead for a 10-y-old as opposed to 26% when respondents imagined themselves.Nonlinear DCE methods are feasible for the valuation of the EQ-5D-Y-5L and have advantages compared with the use of time tradeoff in valuing child HRQoL. Future studies can test whether nonlinear modeling methods are suitable for other pediatric HRQoL instruments.

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Publication Details

Journal
Medical Decision Making
Published
2026-01-13
DOI
https://doi.org/10.1177/0272989x251407950
Citations
1
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
99.81

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article

Valuation of the EQ-5D-Y-5L Using DCE Methods That Account for Nonlinear Time Preferences

Bram Roudijk, Peiwen Jiang, Deborah J. Street, Alice L. Yu et al.
1 citations
Medical Decision Making
Health Systems, Economic Evaluations, Quality of Life
99.81
article

Valuation of the EQ-5D-Y-5L Using DCE Methods That Account for Nonlinear Time Preferences

Bram Roudijk, Peiwen Jiang, Deborah J. Street, Alice L. Yu, Nancy Devlin, Richard Norman, Mulhern Brendan
article en
1 citations

Abstract

ObjectivesDiscrete choice experiment (DCE) methods that account for nonlinear time preferences have been tested in adult EQ-5D instruments but have yet to be tested for the valuation of EQ-5D-Y instruments. The aims of this study were to test the feasibility of using DCE methods that model nonlinear time preferences for the valuation of the EQ-5D-Y-5L as well as to explore the impact of the perspective adult respondents are asked to take.MethodsA representative Australian adult general population sample completed an online survey that included 15 DCE split triplet tasks. Depending on arm assignment, respondents were asked to imagine themselves or a 10-y-old when choosing between health states. A Bayesian efficient design was used to construct DCE tasks; the design was updated 3 times. Data were analyzed using correlated mixed logit models with exponential discounting.ResultsThere were 955 and 947 respondents in the "self" and "10-y-old" arms, respectively. When nonlinear modeling is used, there is evidence of discounting in the "self" (17%) and "10-y-old" (15%) perspective. Avoiding the experience of pain and discomfort were most important in both arms. When imagining a 10-y-old, rather than "self," respondents considered being worried, sad, or unhappy to be more important. Sensitivity analysis revealed that nonparents considered a higher number of health states to be worse than dead when imagining themselves.ConclusionsThis is the first study to use a nonlinear DCE approach in the valuation of the EQ-5D-Y-5L and in pediatric health-related quality of life more generally. Nonlinear modeling methods were found to be suitable for the valuation of the EQ-5D-Y-5L.HighlightsThere is evidence that modeling for nonlinear time preferences is suitable for the valuation of adult health-related quality of life (HRQoL). It is unknown how time preferences affect the valuation of pediatric instruments, such as the EQ-5D-Y-5L, and whether this differs when adults are asked to imagine "self" versus a "10-y-old."There was evidence of nonlinear time preferences when adult respondents value health states for a 10-y-old using a discrete choice experiment (DCE) that included a duration attribute. Perspective was a strong driver of estimating states worse than dead: 42% of health states were considered worse than dead for a 10-y-old as opposed to 26% when respondents imagined themselves.Nonlinear DCE methods are feasible for the valuation of the EQ-5D-Y-5L and have advantages compared with the use of time tradeoff in valuing child HRQoL. Future studies can test whether nonlinear modeling methods are suitable for other pediatric HRQoL instruments.

Medical Decision MakingVol. 46(3)
University of Technology Sydney (AU), The University of Melbourne (AU), Curtin University (AU), EuroQol Research Foundation (NL)
EuroQol Research Foundation
Openalex Percentile: Top 1%
Health Systems, Economic Evaluations, Quality of Life
99.81
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