Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study results

Abstract Objective To compare the country-specific value sets of the EQ-5D-5L utility index and to evaluate the impact on the interpretation of clinical study results. Six country value sets from Canada, England, Japan, Korea, Netherlands and Uruguay were obtained from literature. In addition, ten c...

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Main Authors: Christoph Gerlinger, Luke Bamber, Friedhelm Leverkus, Carsten Schwenke, Claudia Haberland, Gilda Schmidt, Jan Endrikat
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Research Notes
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13104-019-4067-9
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spelling doaj-54e63e0c3bc745459af9d27abe8df1462020-11-25T02:05:43ZengBMCBMC Research Notes1756-05002019-01-011211610.1186/s13104-019-4067-9Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study resultsChristoph Gerlinger0Luke Bamber1Friedhelm Leverkus2Carsten Schwenke3Claudia Haberland4Gilda Schmidt5Jan Endrikat6Statistics and Data Insights, Bayer AGHealth Economics and Outcomes Research, Bayer AGHealth Economics and Outcomes Research, Pfizer Deutschland GmbHSCOSSISHealth Economics and Outcomes Research, Bayer AGObstetrics and Gynecology, Saarland UniversityObstetrics and Gynecology, Saarland UniversityAbstract Objective To compare the country-specific value sets of the EQ-5D-5L utility index and to evaluate the impact on the interpretation of clinical study results. Six country value sets from Canada, England, Japan, Korea, Netherlands and Uruguay were obtained from literature. In addition, ten crosswalk value sets were downloaded from the EuroQol.org website. Results For each of the 3125 possible health states the difference between the country with the highest index and the country with the lowest index was calculated. The median difference was 0.417 across the health states. When analyzing multinational clinical studies, country-specific value sets should be used to evaluate treatment effects. Additional country-specific analyses are needed.http://link.springer.com/article/10.1186/s13104-019-4067-9EQ-5D-5L utility indexClinical studiesCountry differencesQuality of life valuation
collection DOAJ
language English
format Article
sources DOAJ
author Christoph Gerlinger
Luke Bamber
Friedhelm Leverkus
Carsten Schwenke
Claudia Haberland
Gilda Schmidt
Jan Endrikat
spellingShingle Christoph Gerlinger
Luke Bamber
Friedhelm Leverkus
Carsten Schwenke
Claudia Haberland
Gilda Schmidt
Jan Endrikat
Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study results
BMC Research Notes
EQ-5D-5L utility index
Clinical studies
Country differences
Quality of life valuation
author_facet Christoph Gerlinger
Luke Bamber
Friedhelm Leverkus
Carsten Schwenke
Claudia Haberland
Gilda Schmidt
Jan Endrikat
author_sort Christoph Gerlinger
title Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study results
title_short Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study results
title_full Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study results
title_fullStr Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study results
title_full_unstemmed Comparing the EQ-5D-5L utility index based on value sets of different countries: impact on the interpretation of clinical study results
title_sort comparing the eq-5d-5l utility index based on value sets of different countries: impact on the interpretation of clinical study results
publisher BMC
series BMC Research Notes
issn 1756-0500
publishDate 2019-01-01
description Abstract Objective To compare the country-specific value sets of the EQ-5D-5L utility index and to evaluate the impact on the interpretation of clinical study results. Six country value sets from Canada, England, Japan, Korea, Netherlands and Uruguay were obtained from literature. In addition, ten crosswalk value sets were downloaded from the EuroQol.org website. Results For each of the 3125 possible health states the difference between the country with the highest index and the country with the lowest index was calculated. The median difference was 0.417 across the health states. When analyzing multinational clinical studies, country-specific value sets should be used to evaluate treatment effects. Additional country-specific analyses are needed.
topic EQ-5D-5L utility index
Clinical studies
Country differences
Quality of life valuation
url http://link.springer.com/article/10.1186/s13104-019-4067-9
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