2019
DOI: 10.1007/s10198-019-01071-0
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Towards a Central-Eastern European EQ-5D-3L population norm: comparing data from Hungarian, Polish and Slovenian population studies

Abstract: Background EQ-5D-3L population data are available only from Hungary, Poland and Slovenia in Central and Eastern Europe (CEE). We aimed to compare the accessible studies and estimate a regional EQ-5D-3L population norm for CEE. Methods A combined dataset using patient-level data of 8850 respondents was created. Based on the European Census of 2011, regional population norm estimates were calibrated by gender, age and education for the joint citizenry of 11 CEE countries.… Show more

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Cited by 15 publications
(7 citation statements)
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References 23 publications
(31 reference statements)
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“…They concluded that between the four European countries, there is less variance than between value sets of Western and non-Western value sets [ 36 ]. Another study compared three EQ-5D valuations in Central and Eastern European countries and further estimated a population norm for this region [ 37 ]. These studies thus suggest that a pooled value set depicting averaged European health state values may indeed be a feasible and sensible way forward in health economics research.…”
Section: Discussionmentioning
confidence: 99%
“…They concluded that between the four European countries, there is less variance than between value sets of Western and non-Western value sets [ 36 ]. Another study compared three EQ-5D valuations in Central and Eastern European countries and further estimated a population norm for this region [ 37 ]. These studies thus suggest that a pooled value set depicting averaged European health state values may indeed be a feasible and sensible way forward in health economics research.…”
Section: Discussionmentioning
confidence: 99%
“…The comparison of Slovenian population norms with population norms in EU countries, specifically, in Central and Eastern European countries, showed that in all dimensions, problems were reported most frequently by Slovenian, followed by Polish and Hungarian respondents. 33 Because education was found to significantly influence the occurrence of health problems in all dimensions of the EQ-5D-3L and a lower-education population was overrepresented in Slovenian sample, the issue should be further explored.…”
Section: Discussionmentioning
confidence: 99%
“…Value sets are generated for specific populations and numerous sets are available for different country societies from 6 continents [ 28 ]. Local preferences may vary between and within countries and may be influenced by age, gender, standard of living, health expenditure or unemployment [ 34 , 35 ]. For countries without regional scores, estimated regional population norms can be used; an algorithm has also been developed to map responses from the EQ-5D-3L to the scores of the newer, more sensitive 5-level questionnaire (EQ-5D-5L) [ 35 , 36 ].…”
Section: Methodsmentioning
confidence: 99%