Russian population health-related quality of life indicators calculated using the EQ-5D-3L questionnaire
E. A. Aleksandrova,
A. R. Khabibullina,
A. V. Aistov,
F. G. Garipova,
Ch. J. Gerry,
A. P. Davitadze,
E. A. Zazdravnykh,
D. V. Kislitsyn,
M. Yu. Kuznetsova,
A. V. Kupera,
A. Yu. Meylakhs,
P. A. Meylakhs,
T. I. Rodionova,
E. V. Taraskina,
D. S. Shchapov https://doi.org/10.15372/SSMJ20200314
Abstract
Objectives. The paper aims was forming the first health-related quality of life population indicators using EQ-5D–3L survey that represents the Russian population by gender and age, as well as by the attained level of education. Material and methods. For compiling population indicators, we use the EQ-5D-3L questionnaire. The study was conducted on the adult Russian population aged 18 to 75 years. A representative sample was 12616 respondents. Results. 59.3 % of the sample is in good health (profile 11111). The proportion of respondents reporting any health problems increases with age. The average score on a 100-point visual analogue scale is 72.4 (standard deviation 18,1; 95 per cent confidence interval from 72,1 to 72,7). Men, on average, tend to assess their health higher than women. However there are no statistically significant differences in health scores among educational groups, taking into account gender and age data. Conclusions. Comparison of health-related quality of life estimations with normative population data allows us to track differences in health between population groups, as well as to analyze the health status and progress in treating patients. The Russian health-related quality indicators from EQ-5D-3L survey are similar to the Hungary population indices, as well as to many European countries, the USA, and Argentina for age cohorts under 45 years of age. For the cohorts of respondents older than 45 years, Russian estimations are much lower than in other countries. This evidence confirms that borrowing scales from other countries for converting EQ-5D-3L values into a preference EQ-5D-3L index is not acceptable for Russian patients, especially for the elderly.
Keywords
health status,
quality of life questionnaire,
health technology assessment,
EQ-5D-3L,
visual analogue scale,
self-assessed health,
quality of life in medicine
Supporting agencies: The study was funded by the Russian Science Foundation (project № 20-18-00307 «The health of nation: the multidimensional analysis of health, health inequality and health-related quality of life»).
About the Authors
E. A. Aleksandrova
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Russian Federation
Ekaterina A. Aleksandrova, candidate of economical sciences
194100, Saint Petersburg, Kantemirovskaya st., 3A
A. R. Khabibullina
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Alina R. Khabibullina194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Alina R. Khabibullina194100, Saint Petersburg, Kantemirovskaya st., 3A
A. V. Aistov
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Russian Federation
Andrey V. Aistov, candidate of physico-mathematical sciences
194100, Saint Petersburg, Kantemirovskaya st., 3A
F. G. Garipova
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Farida G. Garipova194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Farida G. Garipova194100, Saint Petersburg, Kantemirovskaya st., 3A
Ch. J. Gerry
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics; Oxford School of Global and Area Studies, University of Oxford
Russian Federation
Russian Federation
Christopher J. Gerry, professor
194100, Saint Petersburg, Kantemirovskaya st., 3A
Great Britain, OX2 6JF, Oxford, Woodstock rd., 62
A. P. Davitadze
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Arsen P. Davitadze194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Arsen P. Davitadze194100, Saint Petersburg, Kantemirovskaya st., 3A
E. A. Zazdravnykh
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Russian Federation
Evgenii A. Zazdravnykh, candidate of economical sciences
194100, Saint Petersburg, Kantemirovskaya st., 3A
Evgenii A. Zazdravnykh, candidate of economical sciencesD. V. Kislitsyn
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Russian Federation
Dmitrii V. Kislitsyn, candidate of economical sciences
194100, Saint Petersburg, Kantemirovskaya st., 3A
M. Yu. Kuznetsova
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Mariya Yu. Kuznetsova194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Mariya Yu. Kuznetsova194100, Saint Petersburg, Kantemirovskaya st., 3A
A. V. Kupera
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Russian Federation
Aleksandra V. Kupera, candidate of economical sciences
194100, Saint Petersburg, Kantemirovskaya st., 3A
A. Yu. Meylakhs
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Anastasiya Yu. Meylakhs194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Anastasiya Yu. Meylakhs194100, Saint Petersburg, Kantemirovskaya st., 3A
P. A. Meylakhs
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Russian Federation
Petr A. Meylakhs, candidate of sociological sciences
194100, Saint Petersburg, Kantemirovskaya st., 3A
T. I. Rodionova
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Tat’yana I. Rodionova194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Tat’yana I. Rodionova194100, Saint Petersburg, Kantemirovskaya st., 3A
E. V. Taraskina
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Elena V.Taraskina194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Elena V.Taraskina194100, Saint Petersburg, Kantemirovskaya st., 3A
D. S. Shchapov
Centre for Health Economics, Management and Policy, National Research University Higher School of Economics
Russian Federation
Dmitrii S. Shchapov194100, Saint Petersburg, Kantemirovskaya st., 3A
Russian Federation
Dmitrii S. Shchapov194100, Saint Petersburg, Kantemirovskaya st., 3A
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For citations:
Aleksandrova E.A., Khabibullina A.R., Aistov A.V., Garipova F.G., Gerry Ch.J., Davitadze A.P., Zazdravnykh E.A., Kislitsyn D.V., Kuznetsova M.Yu., Kupera A.V., Meylakhs A.Yu., Meylakhs P.A., Rodionova T.I., Taraskina E.V., Shchapov D.S. Russian population health-related quality of life indicators calculated using the EQ-5D-3L questionnaire. Сибирский научный медицинский журнал. 2020;40(3):99-107. (In Russ.) https://doi.org/10.15372/SSMJ20200314
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