The Use of a Discrete Choice Experiment Including Both Duration and Dead for the Development of an EQ-5D-5L Value Set for Australia.

Norman, R; Mulhern, B; Lancsar, E; Lorgelly, P; Ratcliffe, J; Street, D; Viney, R

The Use of a Discrete Choice Experiment Including Both Duration and Dead for the Development of an EQ-5D-5L Value Set for Australia.

Norman, R Mulhern, B

Lancsar, E Lorgelly, P Ratcliffe, J Street, D Viney, R

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Publisher:: Springer Nature
Publication Type:: Journal Article
Citation:: Pharmacoeconomics, 2023, 41, (4), pp. 427-438
Issue Date:: 2023-04

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Field	Value	Language
dc.contributor.author	Norman, R
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063
dc.contributor.author	Lancsar, E
dc.contributor.author	Lorgelly, P
dc.contributor.author	Ratcliffe, J
dc.contributor.author	Street, D
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635
dc.date.accessioned	2023-05-26T02:32:32Z
dc.date.available	2023-01-11
dc.date.available	2023-05-26T02:32:32Z
dc.date.issued	2023-04
dc.identifier.citation	Pharmacoeconomics, 2023, 41, (4), pp. 427-438
dc.identifier.issn	1170-7690
dc.identifier.issn	1179-2027
dc.identifier.uri	http://hdl.handle.net/10453/170479
dc.description.abstract	BACKGROUND/AIMS: Discrete choice experiments (DCEs) with either duration included an attribute or with dead included as an option can be used as a stand-alone approach to value health states. This paper reports on a DCE with both of these features to develop an EQ-5D-5L value set for Australia. METHODS: A DCE was undertaken using a large Australian panel of internet respondents, from which a sample of more than 4000 Australian adults was chosen, stratified to be population representative on age and gender. The DCE contained 500 choice triplets, with two EQ-5D-5L health states with duration, and dead as the third option. Each respondent answered 12 choice sets from the 500, stating both the best and worst options from the three available. The design was constructed to estimate a utility algorithm with main effects plus some key interaction terms. A variety of approaches to parameterising interactions, and to anchoring the value set on the required 0-1 scale, were tested. A preferred Australian adult utility algorithm for use in cost-utility analysis was then generated. RESULTS: In total, 4477 people completed at least one choice set and were included in the analysis. The results reflected the monotonic structure of the EQ-5D-5L, in that moving from no problems to extreme problems led to worsening utility in each dimension. Inclusion of interaction terms demonstrates that the disutility of the first dimension moving to a poor level (defined as either level 5, or level 4 or 5) had a large impact, but subsequent dimensions moving to a poor level had a relatively smaller disutility. DISCUSSION: This work develops a value set for the EQ-5D-5L in Australia, and also provides a range of methodological insights which can inform future work using a stand-alone DCE to value health in other countries.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Springer Nature
dc.relation.ispartof	Pharmacoeconomics
dc.relation.isbasedon	10.1007/s40273-023-01243-0
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	11 Medical and Health Sciences, 14 Economics
dc.subject.classification	Health Policy & Services
dc.subject.mesh	Adult
dc.subject.mesh	Humans
dc.subject.mesh	Quality of Life
dc.subject.mesh	Health Status
dc.subject.mesh	Australia
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Quality-Adjusted Life Years
dc.subject.mesh	Humans
dc.subject.mesh	Health Status
dc.subject.mesh	Quality-Adjusted Life Years
dc.subject.mesh	Quality of Life
dc.subject.mesh	Adult
dc.subject.mesh	Australia
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Adult
dc.subject.mesh	Humans
dc.subject.mesh	Quality of Life
dc.subject.mesh	Health Status
dc.subject.mesh	Australia
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Quality-Adjusted Life Years
dc.title	The Use of a Discrete Choice Experiment Including Both Duration and Dead for the Development of an EQ-5D-5L Value Set for Australia.
dc.type	Journal Article
utslib.citation.volume	41
utslib.location.activity	New Zealand
utslib.for	11 Medical and Health Sciences
utslib.for	14 Economics
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Centre for Health Economics Research and Evaluation
utslib.copyright.status	open_access	*
dc.date.updated	2023-05-26T02:32:28Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	41
utslib.citation.issue	4

Abstract:

BACKGROUND/AIMS: Discrete choice experiments (DCEs) with either duration included an attribute or with dead included as an option can be used as a stand-alone approach to value health states. This paper reports on a DCE with both of these features to develop an EQ-5D-5L value set for Australia. METHODS: A DCE was undertaken using a large Australian panel of internet respondents, from which a sample of more than 4000 Australian adults was chosen, stratified to be population representative on age and gender. The DCE contained 500 choice triplets, with two EQ-5D-5L health states with duration, and dead as the third option. Each respondent answered 12 choice sets from the 500, stating both the best and worst options from the three available. The design was constructed to estimate a utility algorithm with main effects plus some key interaction terms. A variety of approaches to parameterising interactions, and to anchoring the value set on the required 0-1 scale, were tested. A preferred Australian adult utility algorithm for use in cost-utility analysis was then generated. RESULTS: In total, 4477 people completed at least one choice set and were included in the analysis. The results reflected the monotonic structure of the EQ-5D-5L, in that moving from no problems to extreme problems led to worsening utility in each dimension. Inclusion of interaction terms demonstrates that the disutility of the first dimension moving to a poor level (defined as either level 5, or level 4 or 5) had a large impact, but subsequent dimensions moving to a poor level had a relatively smaller disutility. DISCUSSION: This work develops a value set for the EQ-5D-5L in Australia, and also provides a range of methodological insights which can inform future work using a stand-alone DCE to value health in other countries.

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http://hdl.handle.net/10453/170479