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Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia

INTRODUCTION: Cost-utility analysis (CUA) is the preferred form of economic evaluation in many countries. As one of the key data inputs in cost-utility models, health state utility (HSU) has a crucial impact on CUA results. In the past decades, health technology assessment has been expanding rapidly...

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Autores principales: Yang, Zhihao, Zeng, Xueyun, Huang, Weidong, Chai, Qingqing, Zhao, Angela, Chuang, Ling-Hsiang, Wu, Bin, Luo, Nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283288/
https://www.ncbi.nlm.nih.gov/pubmed/37340446
http://dx.doi.org/10.1186/s12955-023-02131-z
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author Yang, Zhihao
Zeng, Xueyun
Huang, Weidong
Chai, Qingqing
Zhao, Angela
Chuang, Ling-Hsiang
Wu, Bin
Luo, Nan
author_facet Yang, Zhihao
Zeng, Xueyun
Huang, Weidong
Chai, Qingqing
Zhao, Angela
Chuang, Ling-Hsiang
Wu, Bin
Luo, Nan
author_sort Yang, Zhihao
collection PubMed
description INTRODUCTION: Cost-utility analysis (CUA) is the preferred form of economic evaluation in many countries. As one of the key data inputs in cost-utility models, health state utility (HSU) has a crucial impact on CUA results. In the past decades, health technology assessment has been expanding rapidly in Asia, yet research examining the methodology and process used to generate cost-effectiveness evidence is scarce. The aim of this study was to examine the reporting of the characteristics of HSU data used in CUAs in Asia and how the characteristics have changed over time. METHODS: A systematic literature search was performed to identify published CUA studies targeting Asian populations. Information was extracted for both the general characteristics of selected studies and the characteristics of reported HSU data. For each HSU value identified, we extracted data for four key characteristics, including 1) estimation method; 2) source of health-related quality of life (HRQoL) data; 3) source of preference data; and 4) sample size. The percentage of nonreporting was calculated and compared over two time periods (1990–2010 vs 2011–2020). RESULTS: A total of 789 studies were included and 4,052 HSUs were identified. Of these HSUs, 3,351 (82.7%) were from published literature and 656 (16.2%) were from unpublished empirical data. Overall, the characteristics of HSU data were not reported in more than 80% of the studies. Of HSUs whose characteristics were reported, most of them were estimated using the EQ-5D (55.7%), Asian HRQoL data (91.9%), and Asian health preferences (87.7%); 45.7% of the HSUs was estimated with a sample of 100 or more individuals. All four characteristics showed improvements after 2010. CONCLUSION: Over the past two decades, there has been a significant increase in CUA studies targeting Asian populations. However, HSU’s characteristics were not reported in most of the CUA studies, making it difficult to evaluate the quality and appropriateness of the HSUs used in those cost-effectiveness studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-023-02131-z.
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spelling pubmed-102832882023-06-22 Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia Yang, Zhihao Zeng, Xueyun Huang, Weidong Chai, Qingqing Zhao, Angela Chuang, Ling-Hsiang Wu, Bin Luo, Nan Health Qual Life Outcomes Review INTRODUCTION: Cost-utility analysis (CUA) is the preferred form of economic evaluation in many countries. As one of the key data inputs in cost-utility models, health state utility (HSU) has a crucial impact on CUA results. In the past decades, health technology assessment has been expanding rapidly in Asia, yet research examining the methodology and process used to generate cost-effectiveness evidence is scarce. The aim of this study was to examine the reporting of the characteristics of HSU data used in CUAs in Asia and how the characteristics have changed over time. METHODS: A systematic literature search was performed to identify published CUA studies targeting Asian populations. Information was extracted for both the general characteristics of selected studies and the characteristics of reported HSU data. For each HSU value identified, we extracted data for four key characteristics, including 1) estimation method; 2) source of health-related quality of life (HRQoL) data; 3) source of preference data; and 4) sample size. The percentage of nonreporting was calculated and compared over two time periods (1990–2010 vs 2011–2020). RESULTS: A total of 789 studies were included and 4,052 HSUs were identified. Of these HSUs, 3,351 (82.7%) were from published literature and 656 (16.2%) were from unpublished empirical data. Overall, the characteristics of HSU data were not reported in more than 80% of the studies. Of HSUs whose characteristics were reported, most of them were estimated using the EQ-5D (55.7%), Asian HRQoL data (91.9%), and Asian health preferences (87.7%); 45.7% of the HSUs was estimated with a sample of 100 or more individuals. All four characteristics showed improvements after 2010. CONCLUSION: Over the past two decades, there has been a significant increase in CUA studies targeting Asian populations. However, HSU’s characteristics were not reported in most of the CUA studies, making it difficult to evaluate the quality and appropriateness of the HSUs used in those cost-effectiveness studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12955-023-02131-z. BioMed Central 2023-06-20 /pmc/articles/PMC10283288/ /pubmed/37340446 http://dx.doi.org/10.1186/s12955-023-02131-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Review
Yang, Zhihao
Zeng, Xueyun
Huang, Weidong
Chai, Qingqing
Zhao, Angela
Chuang, Ling-Hsiang
Wu, Bin
Luo, Nan
Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia
title Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia
title_full Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia
title_fullStr Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia
title_full_unstemmed Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia
title_short Characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in Asia
title_sort characteristics of health-state utilities used in cost-effectiveness analyses: a systematic review of published studies in asia
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283288/
https://www.ncbi.nlm.nih.gov/pubmed/37340446
http://dx.doi.org/10.1186/s12955-023-02131-z
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