An Exploration on Attribute Non-attendance Using Discrete Choice Experiment Data from the Irish EQ-5D-5L National Valuation Study

Edel Doherty (), Anna Hobbins, David G. T. Whitehurst and Ciaran O’Neill
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Edel Doherty: National University of Ireland
Anna Hobbins: National University of Ireland
David G. T. Whitehurst: Simon Fraser University
Ciaran O’Neill: Queen’s University Belfast

PharmacoEconomics - Open, 2021, vol. 5, issue 2, No 9, 237-244

Abstract: Abstract Background Generic measures of health-related quality of life (HRQoL) permit comparisons of competing demands for healthcare resources using outcomes that reflect the preferences of tax payers. EQ-5D instruments are the most commonly used generic, preference-based measures of HRQoL. The EQ-5D-5L enables respondents to describe their health state using five dimensions of health, each with five response levels. The standardised protocol for the valuation of EQ-5D-5L health states comprises use of the composite time trade-off valuation technique, supplemented by a discrete choice experiment (DCE). Objective This paper presents the first exploration on attribute non-attendance (ANA) to the dimensions of the EQ-5D-5L using DCE data collected following the standardised protocol. Method This paper uses the equality constrained latent class model and the endogenous attribute attendance model to examine ANA to the dimensions of the EQ-5D-5L. Results The results suggest that respondents are less likely to consider the physical dimensions of the EQ-5D-5L (such as self-care and usual activities) when evaluating the health states. The effects of ANA on utility scores depends on the interpretation of the underlying reasons for ANA. Conclusions We recommend that future value sets based in whole or in part on DCE data examine the impact of and reasons for non-attendance in national valuation studies.

Date: 2021
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DOI: 10.1007/s41669-020-00244-5

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