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A Value Set for the EQ-5D-Y-3L in the Netherlands

Author

Listed:
  • Bram Roudijk

    (EuroQol Research Foundation)

  • Ayesha Sajjad

    (Erasmus University Rotterdam)

  • Brigitte Essers

    (Maastricht University Medical Center)

  • Stefan Lipman

    (Erasmus University Rotterdam)

  • Peep Stalmeier

    (Radboud University Medical Center)

  • Aureliano Paolo Finch

    (EuroQol Research Foundation)

Abstract

Background and Objective There is increasing interest in preference-accompanied measures of health for paediatric populations. The child-friendly EQ-5D version, EQ-5D-Y-3L, is one such instrument, but the lack of a Dutch value set prevents its use in economic evaluations of healthcare interventions in the Netherlands. This study aims at covering this gap by collecting preferences using a standardised protocol for deriving EQ-5D-Y-3L value sets. Methods Composite time trade-off data were collected using videoconferencing interviews, with each respondent completing ten composite time trade-off tasks. Discrete choice experiment data were collected using an online survey, with respondents each completing 15 paired comparisons. Respondents completed these tasks considering what they prefer for a hypothetical 10-year-old child. Discrete choice experiment data were analysed using a ten-parameter mixed-logit model and anchored to the quality-adjusted life-year scale using the mean observed composite time trade-off values. Results The study collected preferences for 197 respondents using composite time trade-off and for 959 respondents using a discrete choice experiment. The discrete choice experiment sample was representative for the Dutch population in terms of age and sex. The level 3 weight for pain/discomfort was the largest, followed by feeling worried, sad or unhappy, usual activities, mobility and self-care. Health state values ranged between −0.218 and 1. Conclusions This study generated a Dutch value set for the EQ-5D-Y-3L, which can be used for the computation of quality-adjusted life-years for economic evaluations of healthcare interventions in paediatric populations.

Suggested Citation

  • Bram Roudijk & Ayesha Sajjad & Brigitte Essers & Stefan Lipman & Peep Stalmeier & Aureliano Paolo Finch, 2022. "A Value Set for the EQ-5D-Y-3L in the Netherlands," PharmacoEconomics, Springer, vol. 40(2), pages 193-203, December.
    • Handle: RePEc:spr:pharme:v:40:y:2022:i:2:d:10.1007_s40273-022-01192-0
    DOI: 10.1007/s40273-022-01192-0
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    References listed on IDEAS

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    1. Bram Roudijk & A. Rogier T. Donders & Peep F. M. Stalmeier, 2019. "Cultural Values: Can They Explain Differences in Health Utilities between Countries?," Medical Decision Making, , vol. 39(5), pages 605-616, July.
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    Cited by:

    1. Zhihao Yang & Jie Jiang & Pei Wang & Xuejing Jin & Jing Wu & Yu Fang & Da Feng & Xiaoyu Xi & Shunping Li & Mingxia Jing & Bin Zheng & Weidong Huang & Nan Luo, 2022. "Estimating an EQ-5D-Y-3L Value Set for China," PharmacoEconomics, Springer, vol. 40(2), pages 147-155, December.
    2. Jonathan L. Nazari & A. Simon Pickard & Ning Yan Gu, 2022. "Findings from a Roundtable Discussion with US Stakeholders on Valuation of the EQ-5D-Y-3L," PharmacoEconomics, Springer, vol. 40(2), pages 139-146, December.
    3. David J. Mott & Nancy J. Devlin & Simone Kreimeier & Richard Norman & Koonal K. Shah & Oliver Rivero-Arias, 2022. "Analytical Considerations When Anchoring Discrete Choice Experiment Values Using Composite Time Trade-Off Data: The Case of EQ-5D-Y-3L," PharmacoEconomics, Springer, vol. 40(2), pages 129-137, December.
    4. Nancy Devlin & Bram Roudijk & Rosalie Viney & Elly Stolk, 2022. "EQ-5D-Y-3L Value Sets, Valuation Methods and Conceptual Questions," PharmacoEconomics, Springer, vol. 40(2), pages 123-127, December.
    5. Sarah Dewilde & Bram Roudijk & Nafthali H. Tollenaar & Juan M. Ramos-Goñi, 2022. "An EQ-5D-Y-3L Value Set for Belgium," PharmacoEconomics, Springer, vol. 40(2), pages 169-180, December.

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