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EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets

OBJECTIVE: The objective of this study was to compare the measurement properties of the US EQ-5D-3L, EQ-5D-5L, and -5L to -3L crosswalk value sets (3L; 5L; 5L > 3L) across the spectrum of health. METHODS: The three scoring approaches were compared in terms of range of scale, percent of worse-than...

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Autores principales: Jiang, Ruixuan, Rand, Kim, Kuharic, Maja, Pickard, A. Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463847/
https://www.ncbi.nlm.nih.gov/pubmed/36085228
http://dx.doi.org/10.1186/s12955-022-02031-8
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author Jiang, Ruixuan
Rand, Kim
Kuharic, Maja
Pickard, A. Simon
author_facet Jiang, Ruixuan
Rand, Kim
Kuharic, Maja
Pickard, A. Simon
author_sort Jiang, Ruixuan
collection PubMed
description OBJECTIVE: The objective of this study was to compare the measurement properties of the US EQ-5D-3L, EQ-5D-5L, and -5L to -3L crosswalk value sets (3L; 5L; 5L > 3L) across the spectrum of health. METHODS: The three scoring approaches were compared in terms of range of scale, percent of worse-than-dead health states, and mean single-level transitions. Discriminative ability was compared by leveraging two cross-sectional datasets. A novel method was used to visualize and compare the responsiveness of 3L and 5L scoring approaches across EQ VAS values. RESULTS: The US 5L value set had the broadest range of scale at 1.573 (vs. 1.109 for 3L and crosswalk). The crosswalk had the smallest mean single-level transition of 0.061 (vs. 0.078 for 5L and 0.111 for 3L). The 5L value set tended to be more discriminative/greater statistical efficiency than the crosswalk (F-statistic ratio: 1.111, 95% CI 0.989–1.240) and 3L (F-statistic ratio: 1.102 95% CI 0.861–1.383) across levels of general health. The 5L was the most responsive value set between EQ VAS values of 25 and 75. CONCLUSION: These results imply greater sensitivity of the 5L to health changes and potentially lower incremental cost-utility ratios compared to the 3L. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-022-02031-8.
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spelling pubmed-94638472022-09-11 EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets Jiang, Ruixuan Rand, Kim Kuharic, Maja Pickard, A. Simon Health Qual Life Outcomes Research OBJECTIVE: The objective of this study was to compare the measurement properties of the US EQ-5D-3L, EQ-5D-5L, and -5L to -3L crosswalk value sets (3L; 5L; 5L > 3L) across the spectrum of health. METHODS: The three scoring approaches were compared in terms of range of scale, percent of worse-than-dead health states, and mean single-level transitions. Discriminative ability was compared by leveraging two cross-sectional datasets. A novel method was used to visualize and compare the responsiveness of 3L and 5L scoring approaches across EQ VAS values. RESULTS: The US 5L value set had the broadest range of scale at 1.573 (vs. 1.109 for 3L and crosswalk). The crosswalk had the smallest mean single-level transition of 0.061 (vs. 0.078 for 5L and 0.111 for 3L). The 5L value set tended to be more discriminative/greater statistical efficiency than the crosswalk (F-statistic ratio: 1.111, 95% CI 0.989–1.240) and 3L (F-statistic ratio: 1.102 95% CI 0.861–1.383) across levels of general health. The 5L was the most responsive value set between EQ VAS values of 25 and 75. CONCLUSION: These results imply greater sensitivity of the 5L to health changes and potentially lower incremental cost-utility ratios compared to the 3L. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-022-02031-8. BioMed Central 2022-09-09 /pmc/articles/PMC9463847/ /pubmed/36085228 http://dx.doi.org/10.1186/s12955-022-02031-8 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/) . 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
Jiang, Ruixuan
Rand, Kim
Kuharic, Maja
Pickard, A. Simon
EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets
title EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets
title_full EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets
title_fullStr EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets
title_full_unstemmed EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets
title_short EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets
title_sort eq-5d-5l measurement properties are superior to eq-5d-3l across the continuum of health using us value sets
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9463847/
https://www.ncbi.nlm.nih.gov/pubmed/36085228
http://dx.doi.org/10.1186/s12955-022-02031-8
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