IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v19y2021i4d10.1007_s40258-021-00639-3.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40258-021-00639-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40258-021-00639-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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. 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).
    4. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ariel Beresniak & Antonieta Medina-Lara & Jean Auray & Alain Wever & Jean-Claude Praet & Rosanna Tarricone & Aleksandra Torbica & Danielle Dupont & Michel Lamure & Gerard Duru, 2015. "Validation of the Underlying Assumptions of the Quality-Adjusted Life-Years Outcome: Results from the ECHOUTCOME European Project," PharmacoEconomics, Springer, vol. 33(1), pages 61-69, January.
    2. Daniel M. Hausman, 2010. "Valuing health: a new proposal," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 280-296, March.
    3. 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.
    4. Nancy J. Devlin & Koonal K. Shah & Brendan J. Mulhern & Krystallia Pantiri & Ben van Hout, 2019. "A new method for valuing health: directly eliciting personal utility functions," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(2), pages 257-270, March.
    5. Buckingham, K. & Devlin, N., 2008. "A note on the nature of utility in time and health and implications for cost utility analysis," Working Papers 08/02, Department of Economics, City University London.
    6. David Parkin & Nancy Devlin, 2006. "Is there a case for using visual analogue scale valuations in cost‐utility analysis?," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 653-664, July.
    7. Nicolas A. Menzies & Joshua A. Salomon, 2011. "Non‐monotonicity in the episodic random utility model," Health Economics, John Wiley & Sons, Ltd., vol. 20(12), pages 1523-1531, December.
    8. Devlin, N. & Tsuchiya, A. & Buckingham, K. & Tilling, C., 2009. "Does the value of quality of life depend on duration?," Working Papers 09/07, Department of Economics, City University London.
    9. Bansback, Nick & Brazier, John & Tsuchiya, Aki & Anis, Aslam, 2010. "Using a discrete choice experiment to estimate societal health state utility values," MPRA Paper 29933, University Library of Munich, Germany.
    10. Jing Guo & R. Tamara Konetzka & Elizabeth Magett & William Dale, 2015. "Quantifying Long-Term Care Preferences," Medical Decision Making, , vol. 35(1), pages 106-113, January.
    11. Papathanasopoulou, Eleni & White, Mathew P. & Hattam, Caroline & Lannin, Aisling & Harvey, Andrea & Spencer, Anne, 2016. "Valuing the health benefits of physical activities in the marine environment and their importance for marine spatial planning," Marine Policy, Elsevier, vol. 63(C), pages 144-152.
    12. Federico Augustovski & Lucila Rey-Ares & Vilma Irazola & Mark Oppe & Nancy Devlin, 2013. "Lead versus lag-time trade-off variants: does it make any difference?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(1), pages 25-31, July.
    13. Nancy J. Devlin & Aki Tsuchiya & Ken Buckingham & Carl Tilling, 2011. "A uniform time trade off method for states better and worse than dead: feasibility study of the ‘lead time’ approach," Health Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 348-361, March.
    14. Sharma, Rajiv & Stano, Miron, 2010. "Implications of an economic model of health states worse than dead," Journal of Health Economics, Elsevier, vol. 29(4), pages 536-540, July.
    15. Devlin, N. & Tsuchiya, A. & Buckingham, K. & Tilling, C., 2009. "A uniform Time Trade Off method for states better and worse than dead: feasibility study of the ‘lead time’ approach," Working Papers 09/08, Department of Economics, City University London.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:aphecp:v:19:y:2021:i:4:d:10.1007_s40258-021-00639-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.