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EQ-5D-Y Value Set for Slovenia

Author

Listed:
  • Valentina Prevolnik Rupel

    (Institute for Economic Research)

  • Marko Ogorevc

    (Institute for Economic Research)

Abstract

Background A value set for the EuroQoL 5-Dimensions (EQ-5D)-Y in Slovenia is not yet available, making the calculation of quality-adjusted life-years (QALYs) for children and adolescents using this generic instrument impossible. Objective The main objective of our study was to obtain adult preferences towards EQ-5D-Y health states in Slovenia, following the EQ-5D-Y-3L international valuation protocol. The adults were asked to take the perspective of a hypothetical 10-year-old child. Method A sample of 1074 adults in Slovenia completed an online discrete-choice experiment (DCE) survey on EQ-5D-Y health states. The latent scale issue was addressed by obtaining the value of the anchor (33333) with 200 composite time trade-off (cTTO) interviews. A mixed (random coefficients) logit model was used to estimate the value set. Results All the estimated coefficients of the mixed logit model were statistically significant at the 1% level and had an expected negative sign. The most important health dimension in EQ-5D-Y is pain/discomfort, followed by anxiety/depression, usual activities, and mobility, with self-care being the least important health dimension. Conclusions The study addresses an important research gap and presents the EQ-5D-Y value set for Slovenia. At the time of writing, no published value sets are available for the EQ-5D-Y-3L appropriate for use in QALY calculations, making this value set the first EQ-5D-Y value set in the world.

Suggested Citation

  • Valentina Prevolnik Rupel & Marko Ogorevc, 2021. "EQ-5D-Y Value Set for Slovenia," PharmacoEconomics, Springer, vol. 39(4), pages 463-471, April.
  • Handle: RePEc:spr:pharme:v:39:y:2021:i:4:d:10.1007_s40273-020-00994-4
    DOI: 10.1007/s40273-020-00994-4
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    References listed on IDEAS

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    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923.
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    6. Ratcliffe, Julie & Huynh, Elisabeth & Chen, Gang & Stevens, Katherine & Swait, Joffre & Brazier, John & Sawyer, Michael & Roberts, Rachel & Flynn, Terry, 2016. "Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm," Social Science & Medicine, Elsevier, vol. 157(C), pages 48-59.
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    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Journal round-up: PharmacoEconomics 39(4)
      by Chris Sampson in The Academic Health Economists' Blog on 2021-06-15 06:00:05

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    Cited by:

    1. Takeru Shiroiwa & Takashi Fukuda, 2021. "EQ-5D-Y Population Norms for Japanese Children and Adolescents," PharmacoEconomics, Springer, vol. 39(11), pages 1299-1308, November.
    2. Jiaer Lin & Carlos King Ho Wong & Jason Pui Yin Cheung & Prudence Wing Hang Cheung & Nan Luo, 2022. "Psychometric performance of proxy-reported EQ-5D youth version 5-level (EQ-5D-Y-5L) in comparison with three-level (EQ-5D-Y-3L) in children and adolescents with scoliosis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1383-1395, November.
    3. Stefan A. Lipman & Liying Zhang & Koonal K. Shah & Arthur E. Attema, 2023. "Time and lexicographic preferences in the valuation of EQ-5D-Y with time trade-off methodology," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(2), pages 293-305, March.
    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.

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