What works better for preference elicitation among older people? Cognitive burden of discrete choice experiment and case 2 best-worst scaling in an online setting

Sebastian Himmler, Vikas Soekhai, Job van Exel, Werner Brouwer

Research output: Contribution to journalArticleAcademicpeer-review

14 Citations (Scopus)
23 Downloads (Pure)

Abstract

To appropriately weight dimensions of quality of life instruments for health economic evaluations, population and patient preferences need to be elicited. Two commonly used elicitation methods for this purpose are discrete choice experiments (DCE) and case 2 best-worst scaling (BWS). These methods differ in terms of their cognitive burden, which is especially relevant when eliciting preferences among older people. Using a randomised experiment with respondents from an online panel, this paper examines the cognitive burden associated with colour-coded and level overlapped DCE, colour-coded BWS, and ‘standard’ BWS choice tasks in a complex health state valuation setting. Our sample included 469 individuals aged 65 and above. Based on both revealed and stated cognitive burden, we found that the DCE tasks were less cognitively burdensome than case 2 BWS. Colour coding case 2 BWS cannot be recommended as its effect on cognitive burden was less clear and the colour coding lead to undesired choice heuristics. Our results have implications for future health state valuations of complex quality of life instruments and at least serve as an example of assessing cognitive burden associated with different types of choice experiments.

Original languageEnglish
Article number100265
JournalJournal of Choice Modelling
Volume38
DOIs
Publication statusPublished - 1 Mar 2021

Bibliographical note

Funding Information:
Sebastian Himmler receives financial support from a grant from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (grant agreement No. 721402). The funding agreement ensured the authors' independence in designing the study, interpreting the data, writing, and publishing the report.

Funding Information:
Sebastian Himmler receives financial support from a grant from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Programme (grant agreement No. 721402 ). The funding agreement ensured the authors' independence in designing the study, interpreting the data, writing, and publishing the report.

Publisher Copyright:
© 2020 The Author(s)

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