Assessing the impact of excluded attributes on choice in a discrete choice experiment using a follow-up question

Carol Mansfield*, Jessie Sutphin, Marco Boeri

*Corresponding author for this work

    Research output: Contribution to journalArticle

    Abstract

    Health researchers design discrete choice experiments (DCEs) to elicit preferences over attributes that define treatments. A DCE can accommodate a limited number of attributes selected by researchers based on numerous factors (e.g., respondent comprehension, cognitive burden, and sample size). For situations where researchers want information about the possible impact of an attribute excluded from the DCE, we propose a method to use a question after the DCE. This follow-up question includes the attributes in the DCE with fixed levels and an additional attribute originally excluded from the DCE. The DCE data can be used to predict the probability that respondents would select one treatment profile over another without the additional attribute. Comparing the prediction to the percentage of the sample who selected each profile when it includes the additional attribute provides information on the potential impact of the additional attribute. We provide an example using data from a DCE on treatments for chronic lymphocytic leukemia. Cost was excluded from the DCE, but the survey included a follow-up question with two fixed treatment profiles, similar to two treatments currently on the market, and a cost for each. Preferences were sensitive to modest changes in cost, highlighting the importance of gathering this information.

    Original languageEnglish
    Pages (from-to)1307-1315
    Number of pages9
    JournalHealth Economics (United Kingdom)
    Volume29
    Issue number10
    Early online date06 Jul 2020
    DOIs
    Publication statusEarly online date - 06 Jul 2020

    Keywords

    • discrete choice experiment
    • individual attribute estimates
    • preference analysis
    • share prediction

    ASJC Scopus subject areas

    • Health Policy

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