Understanding uptake of digital health products: Methodology tutorial for a discrete choice experiment using the Bayesian efficient design

Szinay, Dorothy, Cameron, Rory, Naughton, Felix, Whitty, Jennifer A, Brown, Jamie and Jones, Andy (2021) Understanding uptake of digital health products: Methodology tutorial for a discrete choice experiment using the Bayesian efficient design. Journal of Medical Internet Research, 23 (10). ISSN 1439-4456

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Abstract

Understanding the preferences of potential users of digital health products is beneficial for digital health policy and planning. Stated preference methods could help elicit individuals’ preferences in the absence of observational data. A discrete choice experiment (DCE) is a commonly used stated preference method—a quantitative methodology that argues that individuals make trade-offs when engaging in a decision by choosing an alternative of a product or a service that offers the greatest utility, or benefit. This methodology is widely used in health economics in situations in which revealed preferences are difficult to collect but is much less used in the field of digital health. This paper outlines the stages involved in developing a DCE. As a case study, it uses the application of a DCE to reveal preferences in targeting the uptake of smoking cessation apps. It describes the establishment of attributes, the construction of choice tasks of 2 or more alternatives, and the development of the experimental design. This tutorial offers a guide for researchers with no prior knowledge of this research technique.

Item Type: Article
Uncontrolled Keywords: bayesian,design,digital health,discrete choice experiment,engagement,mhealth,methodology,preference,qualitative,quantitative methodology,stated preference methods,tutorial,uptake,user preference,health informatics ,/dk/atira/pure/subjectarea/asjc/2700/2718
Faculty \ School: Faculty of Medicine and Health Sciences > School of Health Sciences
Faculty of Medicine and Health Sciences > Norwich Medical School
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 22 Sep 2021 02:04
Last Modified: 13 Apr 2022 00:22
URI: https://ueaeprints.uea.ac.uk/id/eprint/81478
DOI: 10.2196/32365

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