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16.05.2019 | Original Paper

EQ-5D studies in nervous system diseases in eight Central and East European countries: a systematic literature review

The European Journal of Health Economics
Valentina Prevolnik Rupel, Marko Divjak, Zsombor Zrubka, Fanni Rencz, László Gulácsi, Dominik Golicki, Dagmara Mirowska-Guzel, Judit Simon, Valentin Brodszky, Petra Baji, Jakub Závada, Guenka Petrova, Alexandru Rotar, Márta Péntek
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The online version of this article (https://​doi.​org/​10.​1007/​s10198-019-01068-9) contains supplementary material, which is available to authorized users.

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Guidelines for economic analyses of health care technologies require local input data for reimbursement decisions in the countries of Central and Eastern Europe (CEE). The aim of this study was to systematically review and analyse the available empirical studies using the EQ-5D instrument as a measure of the health-related quality of life (HRQoL) in patients with neurological diseases.


A systematic literature search was performed up to 1st April 2018 to identify relevant studies in eight selected CEE countries. Original articles reporting on studies of neurological diseases using the EQ-5D instrument were analysed.


Thirty-six articles, describing the results of 38 samples of patients and a total of 13,005 patients were included in the review. Most studies were from Hungary (44.4%) and none from Romania or Slovakia. EQ-5D utility scores were reported in 33 (91.7%) articles. In multiple sclerosis (MS) being the most represented disease, the average utility scores ranged from 0.49 in Austria to 0.80 in Poland with a weighted average of 0.69. EQ VAS scores for MS ranged from 39 in Czech Republic to 72.0 in Poland, with weighted average of 59.1. MS patients, together with epilepsy and essential tremor patients, estimated their HRQoL among the highest.


EQ-5D research activity in neurology has been increasing through the years in studied CEE countries. There are clinical areas with the significant social burden, such as a migraine or meningitis, that are completely lacking data, other areas, such as stroke or epilepsy, with very scarce data.

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