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In search of a ‘pan-European value set’; application for EQ-5D-3L

OBJECTIVES: Country-specific value sets for the EQ-5D are available which reflect preferences for health states elicited from the general population. This allows the transformation of responses on EQ-5D to health state utility values. Only twelve European countries possess country-specific value set...

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Autores principales: Sajjad, Ayesha, Versteegh, Matthijs M., Santi, Irene, Busschbach, Jan, Simon, Judit, Roijen, Leona Hakkaart-van
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835298/
https://www.ncbi.nlm.nih.gov/pubmed/36635625
http://dx.doi.org/10.1186/s12874-022-01830-3
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author Sajjad, Ayesha
Versteegh, Matthijs M.
Santi, Irene
Busschbach, Jan
Simon, Judit
Roijen, Leona Hakkaart-van
author_facet Sajjad, Ayesha
Versteegh, Matthijs M.
Santi, Irene
Busschbach, Jan
Simon, Judit
Roijen, Leona Hakkaart-van
author_sort Sajjad, Ayesha
collection PubMed
description OBJECTIVES: Country-specific value sets for the EQ-5D are available which reflect preferences for health states elicited from the general population. This allows the transformation of responses on EQ-5D to health state utility values. Only twelve European countries possess country-specific value sets and no value set reflecting the preferences of Europe exists. We aim to estimate a ‘pan-European’ value set for the EQ-5D-3L, reflecting the preferences for health states of the European population that could help to evaluate health care from the perspective of the European decision-maker. METHODS: We systematically assessed and compared the methodologies of available EQ-5D-3L time trade-off (TTO) value sets from twelve European countries: Denmark, France, Germany, Hungary, Italy, Netherlands, Poland, Portugal, Romania, Slovenia, Spain and UK. Using their published coefficients, a dataset with utility values for all 243 health states was simulated. Different modelling techniques and model specifications including interaction terms were tested. Model selection was based on goodness-of-fit criteria. We also explored results with application of population size weights. RESULTS: Methodological, procedural and analytical characteristics of the included EQ-5D-3L valuation studies were quite comparable. An OLS based model was the preferred model to represent European preferences. Weighting with population size made little difference. CONCLUSIONS: EQ-5D-3L valuation studies were considered of sufficient comparability to form the basis for a new ‘pan-European’ value set. The method used allows for an easy update when new national value sets become available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-022-01830-3.
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spelling pubmed-98352982023-01-13 In search of a ‘pan-European value set’; application for EQ-5D-3L Sajjad, Ayesha Versteegh, Matthijs M. Santi, Irene Busschbach, Jan Simon, Judit Roijen, Leona Hakkaart-van BMC Med Res Methodol Research OBJECTIVES: Country-specific value sets for the EQ-5D are available which reflect preferences for health states elicited from the general population. This allows the transformation of responses on EQ-5D to health state utility values. Only twelve European countries possess country-specific value sets and no value set reflecting the preferences of Europe exists. We aim to estimate a ‘pan-European’ value set for the EQ-5D-3L, reflecting the preferences for health states of the European population that could help to evaluate health care from the perspective of the European decision-maker. METHODS: We systematically assessed and compared the methodologies of available EQ-5D-3L time trade-off (TTO) value sets from twelve European countries: Denmark, France, Germany, Hungary, Italy, Netherlands, Poland, Portugal, Romania, Slovenia, Spain and UK. Using their published coefficients, a dataset with utility values for all 243 health states was simulated. Different modelling techniques and model specifications including interaction terms were tested. Model selection was based on goodness-of-fit criteria. We also explored results with application of population size weights. RESULTS: Methodological, procedural and analytical characteristics of the included EQ-5D-3L valuation studies were quite comparable. An OLS based model was the preferred model to represent European preferences. Weighting with population size made little difference. CONCLUSIONS: EQ-5D-3L valuation studies were considered of sufficient comparability to form the basis for a new ‘pan-European’ value set. The method used allows for an easy update when new national value sets become available. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12874-022-01830-3. BioMed Central 2023-01-12 /pmc/articles/PMC9835298/ /pubmed/36635625 http://dx.doi.org/10.1186/s12874-022-01830-3 Text en © The Author(s) 2023 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Sajjad, Ayesha
Versteegh, Matthijs M.
Santi, Irene
Busschbach, Jan
Simon, Judit
Roijen, Leona Hakkaart-van
In search of a ‘pan-European value set’; application for EQ-5D-3L
title In search of a ‘pan-European value set’; application for EQ-5D-3L
title_full In search of a ‘pan-European value set’; application for EQ-5D-3L
title_fullStr In search of a ‘pan-European value set’; application for EQ-5D-3L
title_full_unstemmed In search of a ‘pan-European value set’; application for EQ-5D-3L
title_short In search of a ‘pan-European value set’; application for EQ-5D-3L
title_sort in search of a ‘pan-european value set’; application for eq-5d-3l
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835298/
https://www.ncbi.nlm.nih.gov/pubmed/36635625
http://dx.doi.org/10.1186/s12874-022-01830-3
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