HEALTH-RELATED QUALITY OF LIFE POPULATION INDICATORS USING EQ-5D QUESTIONNAIRE

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Introduction. The concept of health-related quality of life as a key factor in patient-doctor interactions is an important basis for making managerial and medical decisions in many foreign health systems. In Russia, the concept of health-related quality of life is in its infancy: it is required the theoretical, methodological and scientific-practical foundations development. Aims and objectives. The aim of this study is to assess the health- related quality of life for Russian population based on the EQ-5D questionnaire and to form the average health indicators. Material and methods. The survey was conducted on a sample of 1,602 people aged 18 to 92 years. The final sample is representative for the country and federal districts. We use using the Russian-language version of the EQ-5D questionnaire which allows us to receive two indicators for each respondent - health profile and index based on visual analog scale EQ-VAS. Results. The study revealed the following results: (1) the majority of the respondents among all ages have the problems in EQ-5D dimension “anxiety/depression”; (2) women tend to detect moderate problems in all dimensions more often than men; (3) EQ-5D descriptive results are decreased in all components with the respondents age; (4) the most infrequent population’s problems among the all dimensions are found in the "self-care" dimension; (5) the age changes related to a decrease of EQ-VAS are associated with the general tendency of a decrease in the dimensions. Discussion. To obtain the most accurate and objective assessments from the EQ-5D, it is necessary to conduct a study in accordance with established international protocols, compare the estimates with the average population indices and adhere to a thorough research design. Conclusion. The study reveals the possibilities of using EQ-5D and the first health-related quality of life Russian population indicators that can be used as a basis for comparing between different population groups and patients.

About the authors

E. A. Aleksandrova

Centre for Health Economics, Management, and Policy, National Research University Higher School of Economics

Author for correspondence.
Email: ea.aleksandrova@hse.ru
Russian Federation

J. C. Gerry

Oxford School of Global and Area Studies, University of Oxford; Institute for Social Analysis and Forecasting, Russian Presidential Academy of National Economy and Public Administration

Email: noemail@neicon.ru
Russian Federation

P. .. Kind

EuroQol Group; Faculty of Medicine and Health

Email: noemail@neicon.ru
Russian Federation

A. R. Khabibullina

Centre for Health Economics, Management, and Policy, National Research University Higher School of Economics

Email: noemail@neicon.ru
Russian Federation

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Copyright (c) 2020 Aleksandrova E.A., Gerry J.C., Kind P..., Khabibullina A.R.

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