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First population norms for the EQ-5D-3L in the Russian Federation

Abstract:
Purpose The EQ–5D survey instrument is routinely applied to general and patient specific populations in many countries, as a means of measuring Health Related Quality of Life (HRQOL) and/or informing Health Technology Assessment. The instrument is the subject of growing interest in the Russian Federation, as too is Health Technology Assessment. This research is the first to systematically present the EQ–5D–3L nationally representative population norms and to examine the socioeconomic and socio-demographic characteristics of the instrument among a representative sample of the Russian population. Methods Based on a nationally representative health and well-being survey of the Russian population, conducted in November 2017, we establish the descriptive results, including the EQ-VAS and the EQ-5D Index, by age and gender, examine the correspondence between the EQ–5D health classifications and the separate EQ-VAS scores, and draw on a set of augmented logistic regressions to evaluate the association between the presence of problems in each dimension and various socio-economic and health-related characteristics. Results We find strong evidence that the EQ-5D instrument is sensitive to underlying observed and latent health experiences, that it mirrors many of the characteristics familiar from other settings but that there are Russian specificities which merit further research, particularly with respect to the anxiety/depression dimension of the instrument. Conclusion This research represents an important landmark for HRQOL studies in Russia as well as for the prospects of continuing to develop the scholarly and practical infrastructure necessary for Russian Health Technology Assessment to advance.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pone.0263816

Authors


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Institution:
University of Oxford
Division:
SSD
Department:
OSGA
Sub department:
Area Studies
Role:
Author


Publisher:
Public Library of Science
Journal:
PLoS ONE More from this journal
Volume:
17
Issue:
3
Article number:
e0263816
Publication date:
2022-03-29
Acceptance date:
2022-01-27
DOI:
EISSN:
1932-6203


Language:
English
Keywords:
Pubs id:
1248878
Local pid:
pubs:1248878
Deposit date:
2022-03-30

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