'A Better Way to Measure Choices' Discrete Choice Experiment and Conjoint Analysis Studies in Nephrology: A Literature Review

CLARK, Michael D, HIGGINS, Robert, GUMBER, Anil, MORO, Domenico, LEECH, Dennis, SZCZEPURA, Ala, DAGA, Sunil and WEST, Nick (2013). 'A Better Way to Measure Choices' Discrete Choice Experiment and Conjoint Analysis Studies in Nephrology: A Literature Review. EMJ Nephrology, 1, 52-59.

[img]
Preview
PDF
EMJ_Nephrology_Clark_M_et_al..pdf

Download (163kB) | Preview
Official URL: http://www.emjreviews.com/articles/nephrology/

Abstract

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.

Item Type: Article
Research Institute, Centre or Group: Centre for Health and Social Care Research
Related URLs:
Depositing User: Anil Gumber
Date Deposited: 14 Aug 2013 09:25
Last Modified: 19 Oct 2016 21:09
URI: http://shura.shu.ac.uk/id/eprint/7214

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics