Developing an Australian utility value set for MacNew-7D health states.

Kularatna, S; Chen, G; Norman, R; Mukuria, C; Rowen, D; Senanayake, S; Hettiarachchi, R; Mulhern, B; Fozzard, K; Parsonage, W; MacPhail, SM

Developing an Australian utility value set for MacNew-7D health states.

Kularatna, S Chen, G Norman, R Mukuria, C Rowen, D Senanayake, S Hettiarachchi, R Mulhern, B

Fozzard, K Parsonage, W MacPhail, SM

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Qual Life Res, 2022
Issue Date:: 2022-12-21

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Field	Value	Language
dc.contributor.author	Kularatna, S
dc.contributor.author	Chen, G
dc.contributor.author	Norman, R
dc.contributor.author	Mukuria, C
dc.contributor.author	Rowen, D
dc.contributor.author	Senanayake, S
dc.contributor.author	Hettiarachchi, R
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063
dc.contributor.author	Fozzard, K
dc.contributor.author	Parsonage, W
dc.contributor.author	MacPhail, SM
dc.date.accessioned	2023-03-02T02:55:47Z
dc.date.available	2022-12-10
dc.date.available	2023-03-02T02:55:47Z
dc.date.issued	2022-12-21
dc.identifier.citation	Qual Life Res, 2022
dc.identifier.issn	0962-9343
dc.identifier.issn	1573-2649
dc.identifier.uri	http://hdl.handle.net/10453/166621
dc.description.abstract	BACKGROUND: A new preference-based measure (MacNew-7D) has recently been developed to allow condition-specific data to be used to capture the quality of life in health economic evaluations in cardiology; however, a general population value set has not yet been developed. This study developed a population utility value set for the MacNew-7D heart disease-specific instrument. METHODS: The discrete choice experiments (DCE) technique was chosen as the preference-elicitation method. The DCE asked respondents to compare two options and to state their preferences. The survey was conducted using an online panel of respondents, with quota sampling using age groups, sex and jurisdictions to achieve representativeness of the Australian population. The total design consisted of 200 choice sets, of which each respondent answered eight. Additionally, each respondent answered two quality control choice sets. The best-fitting models were selected on the basis of consistency, parsimony, and goodness of fit. RESULTS: In total, 1903 respondents were included in the analyses. The MacNew-7D utility value set ranged from -0.4456 to 1.000 for health states defined by the classification system. The best-fitting model retained all levels for five dimensions and collapsed one adjacent level for the other two dimensions. Findings were robust to sensitivity analyses related to the inclusion or exclusion of dominancy and repeat tasks. CONCLUSION: Findings indicated that the MacNew-7D utility value set is likely suitable for estimating quality-adjusted life years derived from the MacNew heart disease health-related quality-of-life questionnaire. This value set was derived from an Australian population-based sample and may not be generalisable to dissimilar populations.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	SPRINGER
dc.relation.ispartof	Qual Life Res
dc.relation.isbasedon	10.1007/s11136-022-03325-6
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1117 Public Health and Health Services, 1701 Psychology
dc.subject.classification	Health Policy & Services
dc.title	Developing an Australian utility value set for MacNew-7D health states.
dc.type	Journal Article
utslib.location.activity	Netherlands
utslib.for	1117 Public Health and Health Services
utslib.for	1701 Psychology
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	closed_access	*
dc.date.updated	2023-03-02T02:55:46Z
pubs.publication-status	Published online

Abstract:

BACKGROUND: A new preference-based measure (MacNew-7D) has recently been developed to allow condition-specific data to be used to capture the quality of life in health economic evaluations in cardiology; however, a general population value set has not yet been developed. This study developed a population utility value set for the MacNew-7D heart disease-specific instrument. METHODS: The discrete choice experiments (DCE) technique was chosen as the preference-elicitation method. The DCE asked respondents to compare two options and to state their preferences. The survey was conducted using an online panel of respondents, with quota sampling using age groups, sex and jurisdictions to achieve representativeness of the Australian population. The total design consisted of 200 choice sets, of which each respondent answered eight. Additionally, each respondent answered two quality control choice sets. The best-fitting models were selected on the basis of consistency, parsimony, and goodness of fit. RESULTS: In total, 1903 respondents were included in the analyses. The MacNew-7D utility value set ranged from -0.4456 to 1.000 for health states defined by the classification system. The best-fitting model retained all levels for five dimensions and collapsed one adjacent level for the other two dimensions. Findings were robust to sensitivity analyses related to the inclusion or exclusion of dominancy and repeat tasks. CONCLUSION: Findings indicated that the MacNew-7D utility value set is likely suitable for estimating quality-adjusted life years derived from the MacNew heart disease health-related quality-of-life questionnaire. This value set was derived from an Australian population-based sample and may not be generalisable to dissimilar populations.

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http://hdl.handle.net/10453/166621