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Is Easier Better Than Harder? An Experiment on Choice Experiments for Benefit-Risk Tradeoff Preferences

Author

Listed:
  • Jui-Chen Yang

    (Duke Clinical Research Institute, Duke University, Durham, NC, USA)

  • Shelby D. Reed

    (Duke Clinical Research Institute, Duke University, Durham, NC, USA
    Department of Population Health Sciences, Duke University, Durham, NC, USA)

  • Steve Hass

    (H. E. Outcomes, LLC, Los Angeles, CA, USA)

  • Mark B. Skeen

    (Duke University Health System, Durham, NC, USA)

  • F. Reed Johnson

    (Duke Clinical Research Institute, Duke University, Durham, NC, USA
    Department of Population Health Sciences, Duke University, Durham, NC, USA)

Abstract

Objectives To test the convergent validity of simple and more complex study designs in a discrete-choice experiment (DCE) of multiple sclerosis (MS) treatment preferences. Methods Five hundred US adults with MS completed an online DCE survey. Respondents answered 8 choice questions with pairs of constructed MS treatment profiles defined by delays in problems with walking, delays in problems with cognition, thyroid disorders, and 10-y risks of kidney failure and serious brain infection (i.e., progressive multifocal leukoencephalopathy [PML]). Four hundred respondents completed choice questions using 4 levels for all attributes, except thyroid disorders with 3 levels. One hundred respondents completed choice questions using only the 2 extreme attribute levels of the 4-level version. Random-parameters logit models were used to estimate choice-model parameters. Results Respondents viewing the 4-level and 2-level versions agreed on the relative importance of the 3 most important attributes: cognition, walking, and PML. Respondents viewing the 4-level version indicated much stronger disutility for a 0% to 0.5% increase in kidney-failure risk than those viewing the 2-level version where the risk for kidney failure increased from 0% to 3%. Otherwise, utilities for other 4-level attributes were approximately linear but with significantly steeper slopes (except for cognition) than the 2-level estimates, indicating that attributes were perceived as more important as the number of levels increased. Conclusions Although the relative importance of some attributes was similar, the 2-level and 4-level versions generally failed to demonstrate convergent validity. If the study goal is attribute rankings, a 2-level version could be adequate. If goals include quantifying tradeoffs among attribute levels, more complex designs can help respondents discriminate among attribute levels. Reductions in measurement error using fewer attribute levels appear to have come at the expense of less discriminating evaluations.

Suggested Citation

  • Jui-Chen Yang & Shelby D. Reed & Steve Hass & Mark B. Skeen & F. Reed Johnson, 2021. "Is Easier Better Than Harder? An Experiment on Choice Experiments for Benefit-Risk Tradeoff Preferences," Medical Decision Making, , vol. 41(2), pages 222-232, February.
    • Handle: RePEc:sae:medema:v:41:y:2021:i:2:p:222-232
    DOI: 10.1177/0272989X20979833
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    2. Semra Özdemir & Ateesha F. Mohamed & F. Reed Johnson & A. Brett Hauber, 2010. "Who pays attention in stated‐choice surveys?," Health Economics, John Wiley & Sons, Ltd., vol. 19(1), pages 111-118, January.
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    8. Arentze, Theo & Borgers, Aloys & Timmermans, Harry & DelMistro, Romano, 2003. "Transport stated choice responses: effects of task complexity, presentation format and literacy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(3), pages 229-244, May.
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    1. Thao Thai & Michiel Bliemer & Gang Chen & Jean Spinks & Sonja de New & Emily Lancsar, 2023. "Comparison of a full and partial choice set design in a labeled discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1284-1304, June.

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