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Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care

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  • Terry Flynn
  • Marcel Bilger
  • Chetna Malhotra
  • Eric Finkelstein

Abstract

This is the first within-subject study to investigate the association between DCE design efficiency and utility estimates. It found that a majority of people did not trade across attributes in the more efficient design but that one third of these then did trade in the less efficient design. More within-subject studies are required to establish how common this is. It may be that future DCEs should attempt to maximise some joint function of statistical and cognitive efficiency to maximise overall efficiency and minimise bias. Copyright Springer International Publishing Switzerland 2016

Suggested Citation

  • Terry Flynn & Marcel Bilger & Chetna Malhotra & Eric Finkelstein, 2016. "Are Efficient Designs Used in Discrete Choice Experiments Too Difficult for Some Respondents? A Case Study Eliciting Preferences for End-of-Life Care," PharmacoEconomics, Springer, vol. 34(3), pages 273-284, March.
    • Handle: RePEc:spr:pharme:v:34:y:2016:i:3:p:273-284
    DOI: 10.1007/s40273-015-0338-z
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    References listed on IDEAS

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    3. Finkelstein, Eric A. & Bilger, Marcel & Flynn, Terry N. & Malhotra, Chetna, 2015. "Preferences for end-of-life care among community-dwelling older adults and patients with advanced cancer: A discrete choice experiment," Health Policy, Elsevier, vol. 119(11), pages 1482-1489.
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    5. Terry N. Flynn & Elisabeth Huynh & Tim J. Peters & Hareth Al‐Janabi & Sam Clemens & Alison Moody & Joanna Coast, 2015. "Scoring the Icecap‐a Capability Instrument. Estimation of a UK General Population Tariff," Health Economics, John Wiley & Sons, Ltd., vol. 24(3), pages 258-269, March.
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    Cited by:

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    4. Mesfin G. Genie & Mandy Ryan & Nicolas Krucien, 2023. "Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?," Health Economics, John Wiley & Sons, Ltd., vol. 32(5), pages 1101-1119, May.
    5. Mandy Ryan & Nicolas Krucien & Frouke Hermens, 2018. "The eyes have it: Using eye tracking to inform information processing strategies in multi‐attributes choices," Health Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 709-721, April.
    6. Marcel F. Jonker & Bas Donkers & Esther de Bekker‐Grob & Elly A. Stolk, 2019. "Attribute level overlap (and color coding) can reduce task complexity, improve choice consistency, and decrease the dropout rate in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 350-363, March.
    7. Huynh, Elisabeth & Coast, Joanna & Rose, John & Kinghorn, Philip & Flynn, Terry, 2017. "Values for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluation at end of life," Social Science & Medicine, Elsevier, vol. 189(C), pages 114-128.

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