Cargando…
A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases
BACKGROUND: In the Central and Eastern European region, the British EQ-5D-3L value set is used commonly in quality of life (QoL) studies. Only Poland and Slovenia have country-specific weights. Our study aimed to investigate the impact of value set choice on the evaluation of 18 chronic conditions i...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544595/ https://www.ncbi.nlm.nih.gov/pubmed/31104218 http://dx.doi.org/10.1007/s10198-019-01069-8 |
_version_ | 1783423277277904896 |
---|---|
author | Zrubka, Zsombor Beretzky, Zsuzsanna Hermann, Zoltán Brodszky, Valentin Gulácsi, László Rencz, Fanni Baji, Petra Golicki, Dominik Prevolnik-Rupel, Valentina Péntek, Márta |
author_facet | Zrubka, Zsombor Beretzky, Zsuzsanna Hermann, Zoltán Brodszky, Valentin Gulácsi, László Rencz, Fanni Baji, Petra Golicki, Dominik Prevolnik-Rupel, Valentina Péntek, Márta |
author_sort | Zrubka, Zsombor |
collection | PubMed |
description | BACKGROUND: In the Central and Eastern European region, the British EQ-5D-3L value set is used commonly in quality of life (QoL) studies. Only Poland and Slovenia have country-specific weights. Our study aimed to investigate the impact of value set choice on the evaluation of 18 chronic conditions in Hungary. METHODS: Patients’ EQ-5D-3L index scores were calculated using the VAS-based Slovenian and European and the time-trade-off-based Polish and British value sets. We performed pairwise comparisons of mean index values by dimensions, diagnoses and age groups. We evaluated disease burden by comparing index values matched by age and gender in each condition with those of the general population of the CEE region in all four value sets. RESULTS: Altogether, 2421 patients (55% female) were included in our sample with the average age of 55.87 years (SD = 17.75). The average Slovenian, European, Polish and British EQ-5D-3L scores were 0.598 (SD = 0.279), 0.661 (SD = 0.257), 0.770 (SD = 0.261) and 0.644 (SD = 0.279), respectively. We found highly significant differences in most diagnoses, with the greatest difference between the Polish and Slovenian index values in Parkinson’s disease (0.265). Systematic pairwise comparison across all conditions and value sets revealed greatest differences between the time-trade-off (TTO) and VAS-based value sets as well as varying sensitivity of the disease burden evaluations of chronic disease conditions to the choice of value sets. CONCLUSIONS: Our results suggest that the choice of value set largely influences the health state utility results in chronic diseases, and might have a significant impact on health policy decisions. |
format | Online Article Text |
id | pubmed-6544595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-65445952019-06-19 A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases Zrubka, Zsombor Beretzky, Zsuzsanna Hermann, Zoltán Brodszky, Valentin Gulácsi, László Rencz, Fanni Baji, Petra Golicki, Dominik Prevolnik-Rupel, Valentina Péntek, Márta Eur J Health Econ Original Paper BACKGROUND: In the Central and Eastern European region, the British EQ-5D-3L value set is used commonly in quality of life (QoL) studies. Only Poland and Slovenia have country-specific weights. Our study aimed to investigate the impact of value set choice on the evaluation of 18 chronic conditions in Hungary. METHODS: Patients’ EQ-5D-3L index scores were calculated using the VAS-based Slovenian and European and the time-trade-off-based Polish and British value sets. We performed pairwise comparisons of mean index values by dimensions, diagnoses and age groups. We evaluated disease burden by comparing index values matched by age and gender in each condition with those of the general population of the CEE region in all four value sets. RESULTS: Altogether, 2421 patients (55% female) were included in our sample with the average age of 55.87 years (SD = 17.75). The average Slovenian, European, Polish and British EQ-5D-3L scores were 0.598 (SD = 0.279), 0.661 (SD = 0.257), 0.770 (SD = 0.261) and 0.644 (SD = 0.279), respectively. We found highly significant differences in most diagnoses, with the greatest difference between the Polish and Slovenian index values in Parkinson’s disease (0.265). Systematic pairwise comparison across all conditions and value sets revealed greatest differences between the time-trade-off (TTO) and VAS-based value sets as well as varying sensitivity of the disease burden evaluations of chronic disease conditions to the choice of value sets. CONCLUSIONS: Our results suggest that the choice of value set largely influences the health state utility results in chronic diseases, and might have a significant impact on health policy decisions. Springer Berlin Heidelberg 2019-05-18 2019 /pmc/articles/PMC6544595/ /pubmed/31104218 http://dx.doi.org/10.1007/s10198-019-01069-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper Zrubka, Zsombor Beretzky, Zsuzsanna Hermann, Zoltán Brodszky, Valentin Gulácsi, László Rencz, Fanni Baji, Petra Golicki, Dominik Prevolnik-Rupel, Valentina Péntek, Márta A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases |
title | A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases |
title_full | A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases |
title_fullStr | A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases |
title_full_unstemmed | A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases |
title_short | A comparison of European, Polish, Slovenian and British EQ-5D-3L value sets using a Hungarian sample of 18 chronic diseases |
title_sort | comparison of european, polish, slovenian and british eq-5d-3l value sets using a hungarian sample of 18 chronic diseases |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544595/ https://www.ncbi.nlm.nih.gov/pubmed/31104218 http://dx.doi.org/10.1007/s10198-019-01069-8 |
work_keys_str_mv | AT zrubkazsombor acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT beretzkyzsuzsanna acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT hermannzoltan acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT brodszkyvalentin acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT gulacsilaszlo acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT renczfanni acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT bajipetra acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT golickidominik acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT prevolnikrupelvalentina acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT pentekmarta acomparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT zrubkazsombor comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT beretzkyzsuzsanna comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT hermannzoltan comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT brodszkyvalentin comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT gulacsilaszlo comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT renczfanni comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT bajipetra comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT golickidominik comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT prevolnikrupelvalentina comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases AT pentekmarta comparisonofeuropeanpolishslovenianandbritisheq5d3lvaluesetsusingahungariansampleof18chronicdiseases |