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The Danish EQ-5D-5L Value Set: A Hybrid Model Using cTTO and DCE Data

Author

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  • Cathrine Elgaard Jensen

    (Aalborg University)

  • Sabrina Storgaard Sørensen

    (Aalborg University)

  • Claire Gudex

    (University of Southern Denmark and OPEN - Open Patient data Explorative Network, Odense University Hospital)

  • Morten Berg Jensen

    (Aarhus University)

  • Kjeld Møller Pedersen

    (University of Southern Denmark)

  • Lars Holger Ehlers

    (Aalborg University)

Abstract

Objectives Quality-adjusted life-years (QALYs) are expected to be used for priority setting of hospital-dispensed medicines in Denmark from 2021. The aim of this study was to develop the first Danish value set for the EQ-5D-5L based on interviews with a representative sample of the Danish adult population. Methods A nationally representative sample based on age (> 18 years), gender, education, and geographical region was recruited using data provided by Statistics Denmark. Computer-assisted personal interviews were carried out using the EQ-VT 2.1. Respondents each valued ten health states using composite time trade-off (cTTO) and seven health states using discrete-choice experiment (DCE). Different predictive models were explored using cTTO and DCE data alone or in combination as hybrid models. Model performance was assessed using logical consistency. Results A total of 1014 interviews were included in the analyses. The sample was representative of the Danish adult population, though the sample contained slightly more respondents with higher education than in the general population. Only the heteroscedastic censored hybrid model combining cTTO and DCE data yielded consistent results, and hence was chosen for modelling the final Danish value set. The predicted values ranged from − 0.757 to 1, and anxiety/depression was the dimension assigned most value by respondents. Conclusions This study established the Danish EQ-5D-5L value set, which represents the preferences of the Danish general population, and is expected to provide key input for healthcare decision-making in a Danish context.

Suggested Citation

  • Cathrine Elgaard Jensen & Sabrina Storgaard Sørensen & Claire Gudex & Morten Berg Jensen & Kjeld Møller Pedersen & Lars Holger Ehlers, 2021. "The Danish EQ-5D-5L Value Set: A Hybrid Model Using cTTO and DCE Data," Applied Health Economics and Health Policy, Springer, vol. 19(4), pages 579-591, July.
    • Handle: RePEc:spr:aphecp:v:19:y:2021:i:4:d:10.1007_s40258-021-00639-3
    DOI: 10.1007/s40258-021-00639-3
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    References listed on IDEAS

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    1. Buckingham, Ken J. & Devlin, Nancy Joy, 2009. "A note on the nature of utility in time and health and implications for cost utility analysis," Social Science & Medicine, Elsevier, vol. 68(2), pages 362-367, January.
    2. Ken Buckingham & Nancy Devlin, 2006. "A theoretical framework for TTO valuations of health," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1149-1154, October.
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    1. Dan Kelleher & Samer Kharroubi & Edel Doherty & Gianluca Baio & Ciaran O’Neill, 2022. "Examining the Association between Polish Migrant Status and Health Preferences Using a Novel Application of a Smaller Design EQ-5D-5L Valuation Study," PharmacoEconomics - Open, Springer, vol. 6(3), pages 425-435, May.
    2. Yiu, Hei Hang Edmund & Buckell, John & Petrou, Stavros & Stewart-Brown, Sarah & Madan, Jason, 2023. "Derivation of a UK preference-based value set for the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) to allow estimation of Mental Well-being Adjusted Life Years (MWALYs)," Social Science & Medicine, Elsevier, vol. 327(C).
    3. Peasgood, Tessa & Bourke, Mackenzie & Devlin, Nancy & Rowen, Donna & Yang, Yaling & Dalziel, Kim, 2023. "Randomised comparison of online interviews versus face-to-face interviews to value health states," Social Science & Medicine, Elsevier, vol. 323(C).
    4. Finch, Aureliano Paolo & Meregaglia, Michela & Ciani, Oriana & Roudijk, Bram & Jommi, Claudio, 2022. "An EQ-5D-5L value set for Italy using videoconferencing interviews and feasibility of a new mode of administration," Social Science & Medicine, Elsevier, vol. 292(C).

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