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

Edel Doherty, Ciaran O'Neill

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
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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.
Original languageEnglish
JournalPharmacoEconomics
Early online date22 Jan 2021
DOIs
Publication statusEarly online date - 22 Jan 2021

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