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Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population

PURPOSE: Normative utility scores represent the health related quality of life of the general population, are of utmost importance in cost-effectiveness studies and should reflect relevant sexes and age groups. The aim of this study was to estimate EQ-5D-5L normative utility scores in a population o...

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Autores principales: Clarijs, Marloes E., Kregting, Lindy M., van Ravesteyn, Nicolien T., Koppert, Linetta B., Korfage, Ida J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584237/
https://www.ncbi.nlm.nih.gov/pubmed/36264532
http://dx.doi.org/10.1007/s11136-022-03271-3
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author Clarijs, Marloes E.
Kregting, Lindy M.
van Ravesteyn, Nicolien T.
Koppert, Linetta B.
Korfage, Ida J.
author_facet Clarijs, Marloes E.
Kregting, Lindy M.
van Ravesteyn, Nicolien T.
Koppert, Linetta B.
Korfage, Ida J.
author_sort Clarijs, Marloes E.
collection PubMed
description PURPOSE: Normative utility scores represent the health related quality of life of the general population, are of utmost importance in cost-effectiveness studies and should reflect relevant sexes and age groups. The aim of this study was to estimate EQ-5D-5L normative utility scores in a population of Dutch females, stratified by age, and to compare these scores to those of female populations of three other countries. METHODS: Dutch women completed the EQ-5D-5L online between January and July 2020. Mean normative utilities were computed using the Dutch EQ-5D-5L value set, stratified by age, tested for differences using the Kruskall–Wallis test, and compared to normative utility scores of female populations elsewhere. Additionally, to support the use of the Dutch EQ-5D-5L data in other settings, normative utility scores were also calculated by applying the value sets of Germany, United Kingdom and USA. RESULTS: Data of 9037 women were analyzed and the weighted mean utility score was 0.911 (SD 0.155, 95% CI 0.908–0.914). The mean normative utility scores differed between age groups, showing lower scores in older females. Compared to other normative utility scores of female populations, Dutch mean utilities were consistently higher except for age groups 18–24 and 25–34. With the three country-specific value sets, new age-specific mean normative utility scores were provided. CONCLUSION: This study provides mean normative utility scores of a large cohort of Dutch females per age group, which were found to be lower in older age groups. Utility scores calculated with three other value sets were made available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-022-03271-3.
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spelling pubmed-95842372022-10-21 Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population Clarijs, Marloes E. Kregting, Lindy M. van Ravesteyn, Nicolien T. Koppert, Linetta B. Korfage, Ida J. Qual Life Res Article PURPOSE: Normative utility scores represent the health related quality of life of the general population, are of utmost importance in cost-effectiveness studies and should reflect relevant sexes and age groups. The aim of this study was to estimate EQ-5D-5L normative utility scores in a population of Dutch females, stratified by age, and to compare these scores to those of female populations of three other countries. METHODS: Dutch women completed the EQ-5D-5L online between January and July 2020. Mean normative utilities were computed using the Dutch EQ-5D-5L value set, stratified by age, tested for differences using the Kruskall–Wallis test, and compared to normative utility scores of female populations elsewhere. Additionally, to support the use of the Dutch EQ-5D-5L data in other settings, normative utility scores were also calculated by applying the value sets of Germany, United Kingdom and USA. RESULTS: Data of 9037 women were analyzed and the weighted mean utility score was 0.911 (SD 0.155, 95% CI 0.908–0.914). The mean normative utility scores differed between age groups, showing lower scores in older females. Compared to other normative utility scores of female populations, Dutch mean utilities were consistently higher except for age groups 18–24 and 25–34. With the three country-specific value sets, new age-specific mean normative utility scores were provided. CONCLUSION: This study provides mean normative utility scores of a large cohort of Dutch females per age group, which were found to be lower in older age groups. Utility scores calculated with three other value sets were made available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-022-03271-3. Springer International Publishing 2022-10-20 2023 /pmc/articles/PMC9584237/ /pubmed/36264532 http://dx.doi.org/10.1007/s11136-022-03271-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Clarijs, Marloes E.
Kregting, Lindy M.
van Ravesteyn, Nicolien T.
Koppert, Linetta B.
Korfage, Ida J.
Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population
title Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population
title_full Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population
title_fullStr Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population
title_full_unstemmed Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population
title_short Health-related Quality of Life using the EQ-5D-5L: normative utility scores in a Dutch female population
title_sort health-related quality of life using the eq-5d-5l: normative utility scores in a dutch female population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584237/
https://www.ncbi.nlm.nih.gov/pubmed/36264532
http://dx.doi.org/10.1007/s11136-022-03271-3
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