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EORTC QLU-C10D value sets for Austria, Italy, and Poland

OBJECTIVE: To develop Austrian, Italian, and Polish general population value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30, and to descriptively compare their index scores for distinct health states. METHODS: The QLU-C10D descriptive system comprises 10...

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Autores principales: Gamper, E. M., King, M. T., Norman, R., Efficace, F., Cottone, F., Holzner, B., Kemmler, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434806/
https://www.ncbi.nlm.nih.gov/pubmed/32458409
http://dx.doi.org/10.1007/s11136-020-02536-z
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author Gamper, E. M.
King, M. T.
Norman, R.
Efficace, F.
Cottone, F.
Holzner, B.
Kemmler, G.
author_facet Gamper, E. M.
King, M. T.
Norman, R.
Efficace, F.
Cottone, F.
Holzner, B.
Kemmler, G.
author_sort Gamper, E. M.
collection PubMed
description OBJECTIVE: To develop Austrian, Italian, and Polish general population value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30, and to descriptively compare their index scores for distinct health states. METHODS: The QLU-C10D descriptive system comprises 10 health attributes and each can take on 4 levels. A standardised and pre-tested methodology has been applied for valuations including a web-based discrete choice experiment (DCE). It was administered in 1000 general population respondents per country recruited via online panels, aiming at representativeness for core socio-demographic variables. RESULTS: In all three countries, the attributes with the largest impact on utility were physical functioning, pain, and role functioning. Cancer-specific dimensions with the largest impact were nausea and fatigue or bowel problems. Utility values of the worst health state (i.e. severe problems on all 10 dimension) were -0.111 (Austria), 0.025 (Italy), and 0.048 (Poland). Country-specific utilities differed for a selection of health states across the continuum. Austrian utilities were systematically lower for moderately and severely impaired health states. CONCLUSION: QLU-C10D cancer-specific utilities can now be calculated in three more countries. Differences between countries indicate that careful consideration is required when using non-country-specific value sets in economic evaluations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11136-020-02536-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-74348062020-08-24 EORTC QLU-C10D value sets for Austria, Italy, and Poland Gamper, E. M. King, M. T. Norman, R. Efficace, F. Cottone, F. Holzner, B. Kemmler, G. Qual Life Res Article OBJECTIVE: To develop Austrian, Italian, and Polish general population value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30, and to descriptively compare their index scores for distinct health states. METHODS: The QLU-C10D descriptive system comprises 10 health attributes and each can take on 4 levels. A standardised and pre-tested methodology has been applied for valuations including a web-based discrete choice experiment (DCE). It was administered in 1000 general population respondents per country recruited via online panels, aiming at representativeness for core socio-demographic variables. RESULTS: In all three countries, the attributes with the largest impact on utility were physical functioning, pain, and role functioning. Cancer-specific dimensions with the largest impact were nausea and fatigue or bowel problems. Utility values of the worst health state (i.e. severe problems on all 10 dimension) were -0.111 (Austria), 0.025 (Italy), and 0.048 (Poland). Country-specific utilities differed for a selection of health states across the continuum. Austrian utilities were systematically lower for moderately and severely impaired health states. CONCLUSION: QLU-C10D cancer-specific utilities can now be calculated in three more countries. Differences between countries indicate that careful consideration is required when using non-country-specific value sets in economic evaluations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11136-020-02536-z) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-05-26 2020 /pmc/articles/PMC7434806/ /pubmed/32458409 http://dx.doi.org/10.1007/s11136-020-02536-z Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/.
spellingShingle Article
Gamper, E. M.
King, M. T.
Norman, R.
Efficace, F.
Cottone, F.
Holzner, B.
Kemmler, G.
EORTC QLU-C10D value sets for Austria, Italy, and Poland
title EORTC QLU-C10D value sets for Austria, Italy, and Poland
title_full EORTC QLU-C10D value sets for Austria, Italy, and Poland
title_fullStr EORTC QLU-C10D value sets for Austria, Italy, and Poland
title_full_unstemmed EORTC QLU-C10D value sets for Austria, Italy, and Poland
title_short EORTC QLU-C10D value sets for Austria, Italy, and Poland
title_sort eortc qlu-c10d value sets for austria, italy, and poland
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7434806/
https://www.ncbi.nlm.nih.gov/pubmed/32458409
http://dx.doi.org/10.1007/s11136-020-02536-z
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