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Eliciting preferences to the EQ-5D-5L health states: discrete choice experiment or multiprofile case of best–worst scaling?

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  • Feng Xie
  • Eleanor Pullenayegum
  • Kathryn Gaebel
  • Mark Oppe
  • Paul Krabbe

Abstract

Choice-based methods have been used widely in assessing healthcare programs. This study compared the binary discrete choice experiment (DCE) and the multiprofile case of best–worst scaling (BWS) in eliciting preferences for the EQ-5D-5L. Forty-eight EQ-5D-5L health states were selected using a Bayesian efficient design and grouped into 24 pairs for the DCE tasks and 8 sets for the BWS tasks (each set has three health states). A total of 100 participants completed 12 pairs and 8 sets in a random order. A probit regression model and ranked order logistic regression model were used to estimate the latent utilities from the DCE and BWS, respectively. Both tasks were well understood by the majority of participants. The DCE tasks were relatively easier and took a shorter time to complete. The intraclass correlation coefficient (ICC) of the DCE was higher than that of the BWS. The variances associated with the latent utilities estimated from the DCE were larger than those from the BWS. The DCE is more feasible and reliable than the BWS in valuing the EQ-5D-5L. Future studies could focus on comparing the consistency and accuracy of these techniques in predicting the health utilities of the EQ-5D-5L. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Feng Xie & Eleanor Pullenayegum & Kathryn Gaebel & Mark Oppe & Paul Krabbe, 2014. "Eliciting preferences to the EQ-5D-5L health states: discrete choice experiment or multiprofile case of best–worst scaling?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(3), pages 281-288, April.
    • Handle: RePEc:spr:eujhec:v:15:y:2014:i:3:p:281-288
    DOI: 10.1007/s10198-013-0474-3
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    References listed on IDEAS

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    1. Arthur E. Attema & Matthijs M. Versteegh & Mark Oppe & Werner B. F. Brouwer & Elly A. Stolk, 2013. "Lead Time Tto: Leading To Better Health State Valuations?," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 376-392, April.
    2. Marjon Pol & Larissa Roux, 2005. "Time preference bias in time trade-off," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(2), pages 107-111, June.
    3. 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.
    4. Flynn, Terry N. & Louviere, Jordan J. & Peters, Tim J. & Coast, Joanna, 2007. "Best-worst scaling: What it can do for health care research and how to do it," Journal of Health Economics, Elsevier, vol. 26(1), pages 171-189, January.
    5. Andrew Lloyd & Scott Doyle & Sarah Dewilde & Florian Turk, 2008. "Preferences and utilities for the symptoms of moderate to severe allergic asthma," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 9(3), pages 275-284, August.
    6. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304.
    7. Angela Robinson & Anne Spencer, 2006. "Exploring challenges to TTO utilities: valuing states worse than dead," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 393-402, April.
    8. Colin Green & Karen Gerard, 2009. "Exploring the social value of health‐care interventions: a stated preference discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 18(8), pages 951-976, August.
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    Cited by:

    1. Boxebeld, Sander, 2024. "Ordering effects in discrete choice experiments: A systematic literature review across domains," Journal of choice modelling, Elsevier, vol. 51(C).
    2. Samare P. I. Huls & Emily Lancsar & Bas Donkers & Jemimah Ride, 2022. "Two for the price of one: If moving beyond traditional single‐best discrete choice experiments, should we use best‐worst, best‐best or ranking for preference elicitation?," Health Economics, John Wiley & Sons, Ltd., vol. 31(12), pages 2630-2647, December.
    3. Nicolas Krucien & Jonathan Sicsic & Mandy Ryan, 2019. "For better or worse? Investigating the validity of best–worst discrete choice experiments in health," Health Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 572-586, April.
    4. Qinxin Guo & Junyi Shen, 2019. "An Empirical Comparison Between Discrete Choice Experiment and Best-worst Scaling: A Case Study of Mobile Payment Choice," Discussion Paper Series DP2019-14, Research Institute for Economics & Business Administration, Kobe University.

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