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Danish value sets for the EORTC QLU-C10D utility instrument.
Lehmann, Jens; Rojas-Concha, Leslye; Petersen, Morten Aagaard; Holzner, Bernhard; Norman, Richard; King, Madeleine T; Kemmler, Georg.
Affiliation
  • Lehmann J; University Hospital of Psychiatry II, Medical University of Innsbruck, Anichstraße 36, 6020, Innsbruck, Austria. jens.lehmann@i-med.ac.at.
  • Rojas-Concha L; University Hospital of Psychiatry I, Medical University of Innsbruck, Innsbruck, Austria. jens.lehmann@i-med.ac.at.
  • Petersen MA; Palliative Care Research Unit, Department of Geriatrics and Palliative Medicine GP, Bispebjerg & Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark.
  • Holzner B; Palliative Care Research Unit, Department of Geriatrics and Palliative Medicine GP, Bispebjerg & Frederiksberg Hospital, University of Copenhagen, Copenhagen, Denmark.
  • Norman R; University Hospital of Psychiatry II, Medical University of Innsbruck, Anichstraße 36, 6020, Innsbruck, Austria.
  • King MT; School of Public Health, Curtin University, Perth, WA, Australia.
  • Kemmler G; School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia.
Qual Life Res ; 33(3): 831-841, 2024 Mar.
Article in En | MEDLINE | ID: mdl-38183563
ABSTRACT

PURPOSE:

In this study, we developed Danish utility weights for the European Organisation for Research and Treatment of Cancer (EORTC) QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.

METHODS:

Following a standardized methodology, 1001 adult participants from the Danish general population were quota-sampled and completed a cross-sectional web-based survey and discrete choice experiment (DCE). In the DCE, participants considered 16 choice sets constructed from the key 10 dimensions of the QLU-C10D and chose their preferred health state for each one. Utility weights were calculated using conditional logistic regression with correction for non-monotonicity.

RESULTS:

The sample (n = 1001) was representative of the Danish general population with regard to age and gender. The domains with the largest utility decrements, i.e., the domains with the biggest impact on health utility, were physical functioning (- 0.224), pain (- 0.160), and role functioning (- 0.136). The smallest utility decrements were observed for the domains lack of appetite (- 0.024), sleep disorders (- 0.057), and fatigue (- 0.064). Non-monotonicity of severity levels was observed for the domains sleep disturbances, lack of appetite, and bowel problems. Deviations from monotonicity were not statistically significant.

CONCLUSION:

The EORTC QLU-C10D is a relatively new multi-attribute utility instrument and is a promising cancer-specific health technology assessment candidate measure. The country-specific Danish utility weights from this study can be used for cost-utility analyses in Danish patients and for comparison with other country-specific utility data.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Life / Neoplasms Type of study: Health_technology_assessment Limits: Adult / Humans Country/Region as subject: Europa Language: En Journal: Qual Life Res Journal subject: REABILITACAO / TERAPEUTICA Year: 2024 Type: Article Affiliation country: Austria

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality of Life / Neoplasms Type of study: Health_technology_assessment Limits: Adult / Humans Country/Region as subject: Europa Language: En Journal: Qual Life Res Journal subject: REABILITACAO / TERAPEUTICA Year: 2024 Type: Article Affiliation country: Austria