Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30

King, MT; Viney, R; Simon Pickard, A; Rowen, D; Aaronson, NK; Brazier, JE; Cella, D; Costa, DSJ; Fayers, PM; Kemmler, G; McTaggart-Cowen, H; Mercieca-Bebber, R; Peacock, S; Street, DJ; Young, TA; Norman, R; Aaronson, N; Brazier, J; Costa, D; Fayers, P; Grimison, P; Janda, M; King (Chair), M; McTaggart-Cowan, H; Pickard, S; Velikova, G; Street, D; Young, T

Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30

Simon Pickard, A Rowen, D Aaronson, NK Brazier, JE Cella, D Costa, DSJ Fayers, PM Kemmler, G McTaggart-Cowen, H Mercieca-Bebber, R Peacock, S Street, DJ

Young, TA Norman, R Aaronson, N Brazier, J Costa, D Fayers, P Grimison, P Janda, M King (Chair), M McTaggart-Cowan, H Pickard, S Velikova, G Street, D

Young, T

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Publication Type:: Journal Article
Citation:: PharmacoEconomics, 2018, 36 (2), pp. 225 - 238
Issue Date:: 2018-02-01

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Field	Value	Language
dc.contributor.author	King, MT https://orcid.org/0000-0001-7192-2887	en_US
dc.contributor.author	Viney, R https://orcid.org/0000-0002-0039-9635	en_US
dc.contributor.author	Simon Pickard, A	en_US
dc.contributor.author	Rowen, D	en_US
dc.contributor.author	Aaronson, NK	en_US
dc.contributor.author	Brazier, JE	en_US
dc.contributor.author	Cella, D	en_US
dc.contributor.author	Costa, DSJ	en_US
dc.contributor.author	Fayers, PM	en_US
dc.contributor.author	Kemmler, G	en_US
dc.contributor.author	McTaggart-Cowen, H	en_US
dc.contributor.author	Mercieca-Bebber, R	en_US
dc.contributor.author	Peacock, S	en_US
dc.contributor.author	Street, DJ https://orcid.org/0000-0002-4476-0656	en_US
dc.contributor.author	Young, TA	en_US
dc.contributor.author	Norman, R	en_US
dc.contributor.author	Aaronson, N	en_US
dc.contributor.author	Brazier, J	en_US
dc.contributor.author	Costa, D	en_US
dc.contributor.author	Fayers, P	en_US
dc.contributor.author	Grimison, P	en_US
dc.contributor.author	Janda, M	en_US
dc.contributor.author	King (Chair), M	en_US
dc.contributor.author	McTaggart-Cowan, H	en_US
dc.contributor.author	Pickard, S	en_US
dc.contributor.author	Velikova, G	en_US
dc.contributor.author	Street, D https://orcid.org/0000-0002-4476-0656	en_US
dc.contributor.author	Young, T	en_US
dc.date.issued	2018-02-01	en_US
dc.identifier.citation	PharmacoEconomics, 2018, 36 (2), pp. 225 - 238	en_US
dc.identifier.issn	1170-7690	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122175
dc.description.abstract	© 2017, The Author(s). Background: The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the widely used cancer-specific quality-of-life (QOL) questionnaire, EORTC QLQ-C30. The QLU-C10D contains ten dimensions (Physical, Role, Social and Emotional Functioning; Pain, Fatigue, Sleep, Appetite, Nausea, Bowel Problems), each with four levels. To be used in cost-utility analysis, country-specific valuation sets are required. Objective: The aim of this study was to provide Australian utility weights for the QLU-C10D. Methods: An Australian online panel was quota-sampled to ensure population representativeness by sex and age (≥ 18 years). Participants completed a discrete choice experiment (DCE) consisting of 16 choice-pairs. Each pair comprised two QLU-C10D health states plus life expectancy. Data were analysed using conditional logistic regression, parameterised to fit the quality-adjusted life-year framework. Utility weights were calculated as the ratio of each QOL dimension-level coefficient to the coefficient on life expectancy. Results: A total of 1979 panel members opted in, 1904 (96%) completed at least one choice-pair, and 1846 (93%) completed all 16 choice-pairs. Dimension weights were generally monotonic: poorer levels within each dimension were generally associated with greater utility decrements. The dimensions that impacted most on choice were, in order, Physical Functioning, Pain, Role Functioning and Emotional Functioning. Oncology-relevant dimensions with moderate impact were Nausea and Bowel Problems. Fatigue, Trouble Sleeping and Appetite had relatively small impact. The value of the worst health state was -0.096, somewhat worse than death. Conclusions: This study provides the first country-specific value set for the QLU-C10D, which can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30, prospectively and retrospectively.	en_US
dc.relation	http://purl.org/au-research/grants/nhmrc/GNT632662
dc.relation	http://purl.org/au-research/grants/nhmrc/APP1069732
dc.relation.ispartof	PharmacoEconomics	en_US
dc.relation.isbasedon	10.1007/s40273-017-0582-5	en_US
dc.subject.classification	Health Policy & Services	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Neoplasms	en_US
dc.subject.mesh	Life Expectancy	en_US
dc.subject.mesh	Logistic Models	en_US
dc.subject.mesh	Choice Behavior	en_US
dc.subject.mesh	Health Status	en_US
dc.subject.mesh	Quality-Adjusted Life Years	en_US
dc.subject.mesh	Quality of Life	en_US
dc.subject.mesh	Adolescent	en_US
dc.subject.mesh	Adult	en_US
dc.subject.mesh	Aged	en_US
dc.subject.mesh	Middle Aged	en_US
dc.subject.mesh	Cost-Benefit Analysis	en_US
dc.subject.mesh	Australia	en_US
dc.subject.mesh	Female	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.title	Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	36	en_US
utslib.for	140208 Health Economics	en_US
utslib.for	11 Medical and Health Sciences	en_US
utslib.for	14 Economics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
utslib.copyright.status	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	36	en_US

Abstract:

© 2017, The Author(s). Background: The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the widely used cancer-specific quality-of-life (QOL) questionnaire, EORTC QLQ-C30. The QLU-C10D contains ten dimensions (Physical, Role, Social and Emotional Functioning; Pain, Fatigue, Sleep, Appetite, Nausea, Bowel Problems), each with four levels. To be used in cost-utility analysis, country-specific valuation sets are required. Objective: The aim of this study was to provide Australian utility weights for the QLU-C10D. Methods: An Australian online panel was quota-sampled to ensure population representativeness by sex and age (≥ 18 years). Participants completed a discrete choice experiment (DCE) consisting of 16 choice-pairs. Each pair comprised two QLU-C10D health states plus life expectancy. Data were analysed using conditional logistic regression, parameterised to fit the quality-adjusted life-year framework. Utility weights were calculated as the ratio of each QOL dimension-level coefficient to the coefficient on life expectancy. Results: A total of 1979 panel members opted in, 1904 (96%) completed at least one choice-pair, and 1846 (93%) completed all 16 choice-pairs. Dimension weights were generally monotonic: poorer levels within each dimension were generally associated with greater utility decrements. The dimensions that impacted most on choice were, in order, Physical Functioning, Pain, Role Functioning and Emotional Functioning. Oncology-relevant dimensions with moderate impact were Nausea and Bowel Problems. Fatigue, Trouble Sleeping and Appetite had relatively small impact. The value of the worst health state was -0.096, somewhat worse than death. Conclusions: This study provides the first country-specific value set for the QLU-C10D, which can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30, prospectively and retrospectively.

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http://hdl.handle.net/10453/122175