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

doi:10.1007/s41669-020-00244-5

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

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8 Citations (Scopus)

138 Downloads (Pure)

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 language	English
Journal	PharmacoEconomics
Early online date	22 Jan 2021
DOIs	https://doi.org/10.1007/s41669-020-00244-5
Publication status	Early online date - 22 Jan 2021

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

abstract = "Background:Generic measures of health-related quality of life (HRQoL) permit comparisons of competing demands forhealthcare resources using outcomes that reflect the preferences of tax payers. EQ-5D instruments are the most commonlyused generic, preference-based measures of HRQoL. The EQ-5D-5L enables respondents to describe their health state usingfive dimensions of health, each with five response levels. The standardised protocol for the valuation of EQ-5D-5L healthstates 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-5Lusing DCE data collected following the standardised protocol.Method: This paper uses the equality constrained latent class model and the endogenous attribute attendance model toexamine 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 asself-care and usual activities) when evaluating the health states. The effects of ANA on utility scores depends on the interpretationof 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 reasonsfor non-attendance in national valuation studies.",

author = "Edel Doherty and Ciaran O'Neill",

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doi = "10.1007/s41669-020-00244-5",

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AB - Background:Generic measures of health-related quality of life (HRQoL) permit comparisons of competing demands forhealthcare resources using outcomes that reflect the preferences of tax payers. EQ-5D instruments are the most commonlyused generic, preference-based measures of HRQoL. The EQ-5D-5L enables respondents to describe their health state usingfive dimensions of health, each with five response levels. The standardised protocol for the valuation of EQ-5D-5L healthstates 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-5Lusing DCE data collected following the standardised protocol.Method: This paper uses the equality constrained latent class model and the endogenous attribute attendance model toexamine 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 asself-care and usual activities) when evaluating the health states. The effects of ANA on utility scores depends on the interpretationof 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 reasonsfor non-attendance in national valuation studies.

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DO - 10.1007/s41669-020-00244-5

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ER -

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

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