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

Madeleine T. King (Corresponding Author), Rosalie Viney, A. Simon Pickard, Donna Rowen, Neil K Aaronson, John E. Brazier, David Cella, Daniel S.J. Costa, Peter Fayers, Georg Kemmler, Helen McTaggert-Cowen, Rebecca Mercieca-Bebber, Stuart Peacock, Deborah J Street, Tracey A Young, Richard Norman

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Abstract

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.
Original languageEnglish
Pages (from-to)225-238
Number of pages14
JournalPharmacoeconomics
Volume36
Issue number225
Early online date21 Dec 2017
DOIs
Publication statusPublished - Feb 2018

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Quality of Life
Appetite
Life Expectancy
Weights and Measures
Nausea
Cost-Benefit Analysis
Fatigue
Pain
Neoplasms
Quality-Adjusted Life Years
Health
Sleep
Logistic Models
Population
Surveys and Questionnaires

Cite this

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, Madeleine T. (Corresponding Author); Viney, Rosalie; Pickard, A. Simon; Rowen, Donna ; Aaronson, Neil K; Brazier, John E.; Cella, David; Costa, Daniel S.J.; Fayers, Peter; Kemmler, Georg; McTaggert-Cowen, Helen; Mercieca-Bebber, Rebecca ; Peacock, Stuart; Street, Deborah J; Young, Tracey A ; Norman, Richard .

In: Pharmacoeconomics, Vol. 36, No. 225, 02.2018, p. 225-238.

Research output: Contribution to journalArticle

King, MT, Viney, R, Pickard, AS, Rowen, D, Aaronson, NK, Brazier, JE, Cella, D, Costa, DSJ, Fayers, P, Kemmler, G, McTaggert-Cowen, H, Mercieca-Bebber, R, Peacock, S, Street, DJ, Young, TA & Norman, R 2018, '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' Pharmacoeconomics, vol. 36, no. 225, pp. 225-238. https://doi.org/10.1007/s40273-017-0582-5
King, Madeleine T. ; Viney, Rosalie ; Pickard, A. Simon ; Rowen, Donna ; Aaronson, Neil K ; Brazier, John E. ; Cella, David ; Costa, Daniel S.J. ; Fayers, Peter ; Kemmler, Georg ; McTaggert-Cowen, Helen ; Mercieca-Bebber, Rebecca ; Peacock, Stuart ; Street, Deborah J ; Young, Tracey A ; Norman, Richard . / 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. In: Pharmacoeconomics. 2018 ; Vol. 36, No. 225. pp. 225-238.
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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",
abstract = "BackgroundThe 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.ObjectiveThe aim of this study was to provide Australian utility weights for the QLU-C10D.MethodsAn 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.ResultsA 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.ConclusionsThis 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.",
author = "King, {Madeleine T.} and Rosalie Viney and Pickard, {A. Simon} and Donna Rowen and Aaronson, {Neil K} and Brazier, {John E.} and David Cella and Costa, {Daniel S.J.} and Peter Fayers and Georg Kemmler and Helen McTaggert-Cowen and Rebecca Mercieca-Bebber and Stuart Peacock and Street, {Deborah J} and Young, {Tracey A} and Richard Norman",
note = "This research was funded by the National Health and Medical Research Council of Australia (Project Grant 632662). Dr Norman was supported by a NHMRC Early Career Research Fellowship (1069732). Professor King was supported by the Australian Government through Cancer Australia.",
year = "2018",
month = "2",
doi = "10.1007/s40273-017-0582-5",
language = "English",
volume = "36",
pages = "225--238",
journal = "Pharmacoeconomics",
issn = "1170-7690",
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TY - JOUR

T1 - 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

AU - King, Madeleine T.

AU - Viney, Rosalie

AU - Pickard, A. Simon

AU - Rowen, Donna

AU - Aaronson, Neil K

AU - Brazier, John E.

AU - Cella, David

AU - Costa, Daniel S.J.

AU - Fayers, Peter

AU - Kemmler, Georg

AU - McTaggert-Cowen, Helen

AU - Mercieca-Bebber, Rebecca

AU - Peacock, Stuart

AU - Street, Deborah J

AU - Young, Tracey A

AU - Norman, Richard

N1 - This research was funded by the National Health and Medical Research Council of Australia (Project Grant 632662). Dr Norman was supported by a NHMRC Early Career Research Fellowship (1069732). Professor King was supported by the Australian Government through Cancer Australia.

PY - 2018/2

Y1 - 2018/2

N2 - BackgroundThe 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.ObjectiveThe aim of this study was to provide Australian utility weights for the QLU-C10D.MethodsAn 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.ResultsA 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.ConclusionsThis 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.

AB - BackgroundThe 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.ObjectiveThe aim of this study was to provide Australian utility weights for the QLU-C10D.MethodsAn 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.ResultsA 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.ConclusionsThis 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.

U2 - 10.1007/s40273-017-0582-5

DO - 10.1007/s40273-017-0582-5

M3 - Article

VL - 36

SP - 225

EP - 238

JO - Pharmacoeconomics

JF - Pharmacoeconomics

SN - 1170-7690

IS - 225

ER -