Discrete choice experiments (DCE) and conjoint analysis (CA) are increasingly used to address health policy issues. This is because the DCE and CA approaches have theoretical foundations in the characteristics theory of demand, which assumes goods, services, or healthcare provision, can be valued in terms of their characteristics (or attributes). As a result, such analysis is grounded in economic theory, lending theoretical validity to this approach. With DCEs, respondents are also assumed to act in a utility-maximising manner and make choices contingent upon the levels of attributes in DCE scenarios. Therefore, choice data can be analysed using econometric methods compatible with random utility theory (RUT) or random regret minimisation (RRM) theory. This means they have additional foundations in economic theory. In contrast, analyses described as CAs are sometimes compatible with RUT or RRM, but by definition they do not have to be. In this paper we review the CA/DCE evidence relating to nephrology. The CA/DCE approach is then compared with other approaches used to provide either quality of life information or preference information relating to nephrology. We conclude by providing an assessment of the value of undertaking CA or DCE analysis in nephrology, comparing the application of CA/DCEs in nephrology with other methodological approaches.
|Publication status||Published - 2013|
Bibliographical noteThe full text is available from: http://emjreviews.com/journals/nephrology-2013/
- conjoint analysis
- discrete choice experiments
- literature review
Clark, M. D., Higgins, R., Gumber, A., Moro, D., Leech, D., Szczepura, A., ... West, N. (2013). A Better Way to Measure Choices’, Discrete Choice Experiment/Conjoint Analysis Studies in Nephrology - A Literature Review. EMJ Nephrology, 1, 52-59.