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Valuation of the EQ-5D-3L in Russia
PURPOSE: The most widely used generic questionnaire to estimate the quality of life for yielding quality-adjusted life years in economic evaluations is EQ-5D. Country-specific population value sets are required to use EQ-5D in economic evaluations. The aim of this study was to establish an EQ-5D-3L...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233249/ https://www.ncbi.nlm.nih.gov/pubmed/33713323 http://dx.doi.org/10.1007/s11136-021-02804-6 |
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author | Omelyanovskiy, Vitaly Musina, Nuriya Ratushnyak, Svetlana Bezdenezhnykh, Tatiana Fediaeva, Vlada Roudijk, Bram Purba, Fredrick Dermawan |
author_facet | Omelyanovskiy, Vitaly Musina, Nuriya Ratushnyak, Svetlana Bezdenezhnykh, Tatiana Fediaeva, Vlada Roudijk, Bram Purba, Fredrick Dermawan |
author_sort | Omelyanovskiy, Vitaly |
collection | PubMed |
description | PURPOSE: The most widely used generic questionnaire to estimate the quality of life for yielding quality-adjusted life years in economic evaluations is EQ-5D. Country-specific population value sets are required to use EQ-5D in economic evaluations. The aim of this study was to establish an EQ-5D-3L value set for Russia. METHODS: A representative sample aged 18+ years was recruited from the Russia`s general population. Computer-assisted face–to–face interviews were conducted based on the standardized valuation protocol using EQ-Portable Valuation Technology. Population preferences were elicited utilizing both composite time trade-off (cTTO) and discrete choice experiment (DCE) techniques. To estimate the value set, a hybrid regression model combining cTTO and DCE data was used. RESULTS: A total of 300 respondents who successfully completed the interview were included in the primary analysis. 120 (40.0%) respondents reported no health problems of any dimension, and 56 (18.7%) reported moderate health problems in one dimension of the EQ‐5D‐3L. Median self-rated health using EQ‐VAS was 80 with IQR 70–90. Comparing cTTO and DCE-predicted values for 243 health states resulted in a similar pattern. This supports the use of hybrid models. The predicted value based on the preferred model for the worst health state “33333” was −0.503. Mobility dimension had the most significant impact on the utility decrement, and anxiety/depression had the lowest decrement. CONCLUSION: Determining a Russian national value set may be considered the first step towards promoting cost-utility analysis use to increase comparability among studies and improve the transferability of healthcare decision-making in Russia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02804-6. |
format | Online Article Text |
id | pubmed-8233249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-82332492021-07-09 Valuation of the EQ-5D-3L in Russia Omelyanovskiy, Vitaly Musina, Nuriya Ratushnyak, Svetlana Bezdenezhnykh, Tatiana Fediaeva, Vlada Roudijk, Bram Purba, Fredrick Dermawan Qual Life Res Article PURPOSE: The most widely used generic questionnaire to estimate the quality of life for yielding quality-adjusted life years in economic evaluations is EQ-5D. Country-specific population value sets are required to use EQ-5D in economic evaluations. The aim of this study was to establish an EQ-5D-3L value set for Russia. METHODS: A representative sample aged 18+ years was recruited from the Russia`s general population. Computer-assisted face–to–face interviews were conducted based on the standardized valuation protocol using EQ-Portable Valuation Technology. Population preferences were elicited utilizing both composite time trade-off (cTTO) and discrete choice experiment (DCE) techniques. To estimate the value set, a hybrid regression model combining cTTO and DCE data was used. RESULTS: A total of 300 respondents who successfully completed the interview were included in the primary analysis. 120 (40.0%) respondents reported no health problems of any dimension, and 56 (18.7%) reported moderate health problems in one dimension of the EQ‐5D‐3L. Median self-rated health using EQ‐VAS was 80 with IQR 70–90. Comparing cTTO and DCE-predicted values for 243 health states resulted in a similar pattern. This supports the use of hybrid models. The predicted value based on the preferred model for the worst health state “33333” was −0.503. Mobility dimension had the most significant impact on the utility decrement, and anxiety/depression had the lowest decrement. CONCLUSION: Determining a Russian national value set may be considered the first step towards promoting cost-utility analysis use to increase comparability among studies and improve the transferability of healthcare decision-making in Russia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02804-6. Springer International Publishing 2021-03-13 2021 /pmc/articles/PMC8233249/ /pubmed/33713323 http://dx.doi.org/10.1007/s11136-021-02804-6 Text en © The Author(s) 2021 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/) . |
spellingShingle | Article Omelyanovskiy, Vitaly Musina, Nuriya Ratushnyak, Svetlana Bezdenezhnykh, Tatiana Fediaeva, Vlada Roudijk, Bram Purba, Fredrick Dermawan Valuation of the EQ-5D-3L in Russia |
title | Valuation of the EQ-5D-3L in Russia |
title_full | Valuation of the EQ-5D-3L in Russia |
title_fullStr | Valuation of the EQ-5D-3L in Russia |
title_full_unstemmed | Valuation of the EQ-5D-3L in Russia |
title_short | Valuation of the EQ-5D-3L in Russia |
title_sort | valuation of the eq-5d-3l in russia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233249/ https://www.ncbi.nlm.nih.gov/pubmed/33713323 http://dx.doi.org/10.1007/s11136-021-02804-6 |
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