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Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment

Author

Listed:
  • Vikas Soekhai

    (Erasmus University Rotterdam
    Erasmus University Rotterdam
    Erasmus MC, Erasmus University Medical Center Rotterdam)

  • Bas Donkers

    (Erasmus University Rotterdam
    Erasmus University Rotterdam)

  • Jennifer Viberg Johansson

    (Uppsala University
    Institute of Futures Studies)

  • Cecilia Jimenez-Moreno

    (Newcastle University
    Patient Centered Research)

  • Cathy Anne Pinto

    (Merck & Co., Inc.)

  • G. Ardine Wit

    (Utrecht University)

  • Esther Bekker-Grob

    (Erasmus University Rotterdam
    Erasmus University Rotterdam)

Abstract

Background and Objectives Case 2 best-worst scaling (BWS-2) is an increasingly popular method to elicit patient preferences. Because BWS-2 potentially has a lower cognitive burden compared with discrete choice experiments, the aim of this study was to compare treatment preference weights and relative importance scores. Methods Patients with neuromuscular diseases completed an online survey at two different moments in time, completing one method per occasion. Patients were randomly assigned to either first a discrete choice experiment or BWS-2. Attributes included: muscle strength, energy endurance, balance, cognition, chance of blurry vision, and chance of liver damage. Multinomial logit was used to calculate overall relative importance scores and latent class logit was used to estimate heterogeneous preference weights and to calculate the relative importance scores of the attributes for each latent class. Results A total of 140 patients were included for analyses. Overall relative importance scores showed differences in attribute importance rankings between a discrete choice experiment and BWS-2. Latent class analyses indicated three latent classes for both methods, with a specific class in both the discrete choice experiment and BWS-2 in which (avoiding) liver damage was the most important attribute. Ex-post analyses showed that classes differed in sex, age, level of education, and disease status. The discrete choice experiment was easier to understand compared with BWS-2. Conclusions This study showed that using a discrete choice experiment and BWS-2 leads to different outcomes, both in preference weights as well as in relative importance scores, which might have been caused by the different framing of risks in BWS-2. However, a latent class analysis revealed similar latent classes between methods. Careful consideration about method selection is required, while keeping the specific decision context in mind and pilot testing the methods.

Suggested Citation

  • Vikas Soekhai & Bas Donkers & Jennifer Viberg Johansson & Cecilia Jimenez-Moreno & Cathy Anne Pinto & G. Ardine Wit & Esther Bekker-Grob, 2023. "Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 16(3), pages 239-253, May.
    • Handle: RePEc:spr:patien:v:16:y:2023:i:3:d:10.1007_s40271-023-00615-0
    DOI: 10.1007/s40271-023-00615-0
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    References listed on IDEAS

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    1. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
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