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Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets

BACKGROUND: Three EQ-5D value sets (EQ-5D-3L, crosswalk, and EQ-5D-5L) are now available for cost-utility analysis in the UK and/or England. The value sets’ characteristics differ, and it is important to assess the implications of these differences. OBJECTIVE: The aim of this paper is to compare the...

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Autores principales: Mulhern, Brendan, Feng, Yan, Shah, Koonal, Janssen, Mathieu F., Herdman, Michael, van Hout, Ben, Devlin, Nancy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5954043/
https://www.ncbi.nlm.nih.gov/pubmed/29476363
http://dx.doi.org/10.1007/s40273-018-0628-3
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author Mulhern, Brendan
Feng, Yan
Shah, Koonal
Janssen, Mathieu F.
Herdman, Michael
van Hout, Ben
Devlin, Nancy
author_facet Mulhern, Brendan
Feng, Yan
Shah, Koonal
Janssen, Mathieu F.
Herdman, Michael
van Hout, Ben
Devlin, Nancy
author_sort Mulhern, Brendan
collection PubMed
description BACKGROUND: Three EQ-5D value sets (EQ-5D-3L, crosswalk, and EQ-5D-5L) are now available for cost-utility analysis in the UK and/or England. The value sets’ characteristics differ, and it is important to assess the implications of these differences. OBJECTIVE: The aim of this paper is to compare the three value sets. METHODS: We carried out analysis comparing the predicted values from each value set, and investigated how differences in health on the descriptive system is reflected in the utility score by assessing the value of adjacent states. We also assessed differences in values using data from patients who completed both EQ-5D-3L and EQ-5D-5L. RESULTS: The distribution of the value sets systematically differed. EQ-5D-5L values were higher than EQ-5D-3L/crosswalk values. The overall range and difference between adjacent states was smaller. In the patient data, the EQ-5D-5L produced higher values across all conditions and there was some evidence that the value sets rank different health conditions in a similar severity order. CONCLUSIONS: There are important differences between the value sets. Due to the smaller range of EQ-5D-5L values, the possible change in quality-adjusted life years (QALYs) might be reduced, but they will apply to both control and intervention groups, and will depend on whether the gain is in quality of life, survival, or both. The increased sensitivity of EQ-5D-5L may also favour QALY gains even if the changes in utility are smaller. Further work should assess the impact of the different value sets on cost effectiveness by repeating the analysis on clinical trial data.
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spelling pubmed-59540432018-05-18 Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets Mulhern, Brendan Feng, Yan Shah, Koonal Janssen, Mathieu F. Herdman, Michael van Hout, Ben Devlin, Nancy Pharmacoeconomics Original Research Article BACKGROUND: Three EQ-5D value sets (EQ-5D-3L, crosswalk, and EQ-5D-5L) are now available for cost-utility analysis in the UK and/or England. The value sets’ characteristics differ, and it is important to assess the implications of these differences. OBJECTIVE: The aim of this paper is to compare the three value sets. METHODS: We carried out analysis comparing the predicted values from each value set, and investigated how differences in health on the descriptive system is reflected in the utility score by assessing the value of adjacent states. We also assessed differences in values using data from patients who completed both EQ-5D-3L and EQ-5D-5L. RESULTS: The distribution of the value sets systematically differed. EQ-5D-5L values were higher than EQ-5D-3L/crosswalk values. The overall range and difference between adjacent states was smaller. In the patient data, the EQ-5D-5L produced higher values across all conditions and there was some evidence that the value sets rank different health conditions in a similar severity order. CONCLUSIONS: There are important differences between the value sets. Due to the smaller range of EQ-5D-5L values, the possible change in quality-adjusted life years (QALYs) might be reduced, but they will apply to both control and intervention groups, and will depend on whether the gain is in quality of life, survival, or both. The increased sensitivity of EQ-5D-5L may also favour QALY gains even if the changes in utility are smaller. Further work should assess the impact of the different value sets on cost effectiveness by repeating the analysis on clinical trial data. Springer International Publishing 2018-02-23 2018 /pmc/articles/PMC5954043/ /pubmed/29476363 http://dx.doi.org/10.1007/s40273-018-0628-3 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, a link is provided to the Creative Commons license and any changes made are indicated.
spellingShingle Original Research Article
Mulhern, Brendan
Feng, Yan
Shah, Koonal
Janssen, Mathieu F.
Herdman, Michael
van Hout, Ben
Devlin, Nancy
Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets
title Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets
title_full Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets
title_fullStr Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets
title_full_unstemmed Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets
title_short Comparing the UK EQ-5D-3L and English EQ-5D-5L Value Sets
title_sort comparing the uk eq-5d-3l and english eq-5d-5l value sets
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5954043/
https://www.ncbi.nlm.nih.gov/pubmed/29476363
http://dx.doi.org/10.1007/s40273-018-0628-3
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