Valuation of the EQ-5D-3L in Russia.


Journal

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
ISSN: 1573-2649
Titre abrégé: Qual Life Res
Pays: Netherlands
ID NLM: 9210257

Informations de publication

Date de publication:
Jul 2021
Historique:
accepted: 16 02 2021
pubmed: 14 3 2021
medline: 24 7 2021
entrez: 13 3 2021
Statut: ppublish

Résumé

The most widely used generic questionnaire to estimate the quality of life for yielding quality-adjusted life years in economic evaluations is EQ-5D. Country-specific population value sets are required to use EQ-5D in economic evaluations. The aim of this study was to establish an EQ-5D-3L value set for Russia. A representative sample aged 18+ years was recruited from the Russia`s general population. Computer-assisted face-to-face interviews were conducted based on the standardized valuation protocol using EQ-Portable Valuation Technology. Population preferences were elicited utilizing both composite time trade-off (cTTO) and discrete choice experiment (DCE) techniques. To estimate the value set, a hybrid regression model combining cTTO and DCE data was used. A total of 300 respondents who successfully completed the interview were included in the primary analysis. 120 (40.0%) respondents reported no health problems of any dimension, and 56 (18.7%) reported moderate health problems in one dimension of the EQ-5D-3L. Median self-rated health using EQ-VAS was 80 with IQR 70-90. Comparing cTTO and DCE-predicted values for 243 health states resulted in a similar pattern. This supports the use of hybrid models. The predicted value based on the preferred model for the worst health state "33333" was -0.503. Mobility dimension had the most significant impact on the utility decrement, and anxiety/depression had the lowest decrement. Determining a Russian national value set may be considered the first step towards promoting cost-utility analysis use to increase comparability among studies and improve the transferability of healthcare decision-making in Russia.

Identifiants

pubmed: 33713323
doi: 10.1007/s11136-021-02804-6
pii: 10.1007/s11136-021-02804-6
pmc: PMC8233249
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1997-2007

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Auteurs

Vitaly Omelyanovskiy (V)

Center of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Financial Research Institute at the Ministry of Finances of the Russian Federation, Moscow, Russia.
Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow, Russia.

Nuriya Musina (N)

Center of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation, Moscow, Russia.
Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russia.
Saint Petersburg State Chemical Pharmaceutical Academy, St. Petersburg, Russia.

Svetlana Ratushnyak (S)

Center of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia. svetlanarshk@gmail.com.

Tatiana Bezdenezhnykh (T)

Center of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Financial Research Institute at the Ministry of Finances of the Russian Federation, Moscow, Russia.

Vlada Fediaeva (V)

Center of Healthcare Quality Assessment and Control, Ministry of Health of the Russian Federation, Moscow, Russia.
Financial Research Institute at the Ministry of Finances of the Russian Federation, Moscow, Russia.

Bram Roudijk (B)

EuroQol Research Foundation, Rotterdam, the Netherlands.

Fredrick Dermawan Purba (FD)

Faculty of Psychology, Universitas Padjadjaran, Jatinangor, Indonesia.
Center for Health Technology Assessment, Universitas Padjadjaran, Jatinangor, Indonesia.

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