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A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China
OBJECTIVE: Two EQ-5D-3L (3L) value sets (developed in 2014 and 2018) co-exist in China. The study examined the level of agreement between index scores for all the 243 health states derived from them at both absolute and relative levels and compared the responsiveness of the two indices. METHODS: Int...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118844/ https://www.ncbi.nlm.nih.gov/pubmed/35590333 http://dx.doi.org/10.1186/s12955-022-01988-w |
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author | Zhang, Ruo-Yu Wang, Wei Zhou, Hui-Jun Xuan, Jian-Wei Luo, Nan Wang, Pei |
author_facet | Zhang, Ruo-Yu Wang, Wei Zhou, Hui-Jun Xuan, Jian-Wei Luo, Nan Wang, Pei |
author_sort | Zhang, Ruo-Yu |
collection | PubMed |
description | OBJECTIVE: Two EQ-5D-3L (3L) value sets (developed in 2014 and 2018) co-exist in China. The study examined the level of agreement between index scores for all the 243 health states derived from them at both absolute and relative levels and compared the responsiveness of the two indices. METHODS: Intraclass correlations coefficient (ICC) and Bland–Altman plot were adopted to assess the degree of agreement between the two indices at the absolute level. Health gains for 29,403 possible transitions between pairs of 3L health states were calculated to assess the agreement at the relative level. Their responsiveness for the transitions was assessed using Cohen effect size. RESULTS: The mean (SD) value was 0.427 (0.206) and 0.649 (0.189) for the 3L(2014) and 3L(2018) index scores, respectively. Although the ICC value showed good agreement (i.e., 0.896), 88.9% (216/243) of the points were beyond the minimum important difference limit according to the Bland–Altman plot. The mean health gains for the 29,403 health transitions was 0.234 (3L(2014) index score) and 0.216 (3L(2018) index score). The two indices predicted consistent transitions in 23,720 (80.7%) of 29,403 pairs. For the consistent pairs, Cohen effective size value was 1.05 (3L(2014) index score) or 1.06 (3L(2018) index score); and the 3L(2014) index score only yielded 0.007 more utility gains. However, the results based on the two measures varied substantially according to the direction and magnitude of health change. CONCLUSION: The 3L(2014) and 3L(2018) index scores are not interchangeable. The choice between them is likely to influence QALYs estimations. |
format | Online Article Text |
id | pubmed-9118844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91188442022-05-20 A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China Zhang, Ruo-Yu Wang, Wei Zhou, Hui-Jun Xuan, Jian-Wei Luo, Nan Wang, Pei Health Qual Life Outcomes Research OBJECTIVE: Two EQ-5D-3L (3L) value sets (developed in 2014 and 2018) co-exist in China. The study examined the level of agreement between index scores for all the 243 health states derived from them at both absolute and relative levels and compared the responsiveness of the two indices. METHODS: Intraclass correlations coefficient (ICC) and Bland–Altman plot were adopted to assess the degree of agreement between the two indices at the absolute level. Health gains for 29,403 possible transitions between pairs of 3L health states were calculated to assess the agreement at the relative level. Their responsiveness for the transitions was assessed using Cohen effect size. RESULTS: The mean (SD) value was 0.427 (0.206) and 0.649 (0.189) for the 3L(2014) and 3L(2018) index scores, respectively. Although the ICC value showed good agreement (i.e., 0.896), 88.9% (216/243) of the points were beyond the minimum important difference limit according to the Bland–Altman plot. The mean health gains for the 29,403 health transitions was 0.234 (3L(2014) index score) and 0.216 (3L(2018) index score). The two indices predicted consistent transitions in 23,720 (80.7%) of 29,403 pairs. For the consistent pairs, Cohen effective size value was 1.05 (3L(2014) index score) or 1.06 (3L(2018) index score); and the 3L(2014) index score only yielded 0.007 more utility gains. However, the results based on the two measures varied substantially according to the direction and magnitude of health change. CONCLUSION: The 3L(2014) and 3L(2018) index scores are not interchangeable. The choice between them is likely to influence QALYs estimations. BioMed Central 2022-05-19 /pmc/articles/PMC9118844/ /pubmed/35590333 http://dx.doi.org/10.1186/s12955-022-01988-w 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 Zhang, Ruo-Yu Wang, Wei Zhou, Hui-Jun Xuan, Jian-Wei Luo, Nan Wang, Pei A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China |
title | A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China |
title_full | A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China |
title_fullStr | A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China |
title_full_unstemmed | A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China |
title_short | A head-to-head comparison of the EQ-5D-3L index scores derived from the two EQ-5D-3L value sets for China |
title_sort | head-to-head comparison of the eq-5d-3l index scores derived from the two eq-5d-3l value sets for china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118844/ https://www.ncbi.nlm.nih.gov/pubmed/35590333 http://dx.doi.org/10.1186/s12955-022-01988-w |
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