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Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment

BACKGROUND: The EORTC QLU-C10D is a preference-based measure derived from the EORTC QLQ-C30. For use in economic evaluations, country-specific value sets are needed. This study aimed to generate an EORTC QLU-C10 value set for Spain. METHODS: A sample of the Spanish general population completed an on...

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Autores principales: Finch, Aureliano Paolo, Gamper, Eva, Norman, Richard, Viney, Rosalie, Holzner, Bernhard, King, Madeleine, Kemmler, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352836/
https://www.ncbi.nlm.nih.gov/pubmed/34216380
http://dx.doi.org/10.1007/s40273-021-01058-x
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author Finch, Aureliano Paolo
Gamper, Eva
Norman, Richard
Viney, Rosalie
Holzner, Bernhard
King, Madeleine
Kemmler, Georg
author_facet Finch, Aureliano Paolo
Gamper, Eva
Norman, Richard
Viney, Rosalie
Holzner, Bernhard
King, Madeleine
Kemmler, Georg
author_sort Finch, Aureliano Paolo
collection PubMed
description BACKGROUND: The EORTC QLU-C10D is a preference-based measure derived from the EORTC QLQ-C30. For use in economic evaluations, country-specific value sets are needed. This study aimed to generate an EORTC QLU-C10 value set for Spain. METHODS: A sample of the Spanish general population completed an online discrete choice experiment. An attribute-balanced incomplete block design was used to select 960 choice tasks, with a total of 1920 health states. Each participant was randomly assigned 16 choice sets without replacement. Data were modelled using generalized estimating equations and mixed logistic regressions. RESULTS: A total of 1625 panel members were invited to participate, 1010 of whom were included in the study. Dimension decrements were generally monotonic with larger disutilities at increased severity levels. Dimensions associated with larger decrements were physical functioning and pain, while the dimension with the smallest decrement was sleep disturbances. The PITS state (i.e. worst attainable health) for the Spanish population is − 0.043. CONCLUSIONS: This study generated the first Spanish value set for the QLU-C10D. This can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-021-01058-x.
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spelling pubmed-83528362021-08-24 Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment Finch, Aureliano Paolo Gamper, Eva Norman, Richard Viney, Rosalie Holzner, Bernhard King, Madeleine Kemmler, Georg Pharmacoeconomics Original Research Article BACKGROUND: The EORTC QLU-C10D is a preference-based measure derived from the EORTC QLQ-C30. For use in economic evaluations, country-specific value sets are needed. This study aimed to generate an EORTC QLU-C10 value set for Spain. METHODS: A sample of the Spanish general population completed an online discrete choice experiment. An attribute-balanced incomplete block design was used to select 960 choice tasks, with a total of 1920 health states. Each participant was randomly assigned 16 choice sets without replacement. Data were modelled using generalized estimating equations and mixed logistic regressions. RESULTS: A total of 1625 panel members were invited to participate, 1010 of whom were included in the study. Dimension decrements were generally monotonic with larger disutilities at increased severity levels. Dimensions associated with larger decrements were physical functioning and pain, while the dimension with the smallest decrement was sleep disturbances. The PITS state (i.e. worst attainable health) for the Spanish population is − 0.043. CONCLUSIONS: This study generated the first Spanish value set for the QLU-C10D. This can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40273-021-01058-x. Springer International Publishing 2021-07-03 2021 /pmc/articles/PMC8352836/ /pubmed/34216380 http://dx.doi.org/10.1007/s40273-021-01058-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
Finch, Aureliano Paolo
Gamper, Eva
Norman, Richard
Viney, Rosalie
Holzner, Bernhard
King, Madeleine
Kemmler, Georg
Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment
title Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment
title_full Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment
title_fullStr Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment
title_full_unstemmed Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment
title_short Estimation of an EORTC QLU-C10 Value Set for Spain Using a Discrete Choice Experiment
title_sort estimation of an eortc qlu-c10 value set for spain using a discrete choice experiment
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352836/
https://www.ncbi.nlm.nih.gov/pubmed/34216380
http://dx.doi.org/10.1007/s40273-021-01058-x
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