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Real-world data: principles of use in decision making and in health technology assessment

https://doi.org/10.17749/2070-4909/farmakoekonomika.2023.167

Abstract

The use of real-world data (RWD) and real-world evidence (RWE) in process of improving public health, their assessment, and use in decision making is a promising area. Discussions are actively underway about the possibility of using RWD and RWE in routine medical practice of doctors and health care organizers, the weaknesses of these matters and ways to overcome them. Taking into account the considerable amount of information, complexity, and inconsistency of issues under consideration, the article presents the basic principles of using RWD and RWE in decision making, classification of health technologies values, classification of RWE sources, position of RWD studies in the hierarchy of clinical study designs, as well as the ways of their use in complex drug assessment.

About the Authors

V. V. Omelyanovskiy
Center for Healthcare Quality Assessment and Control; Financial Research Institute; Russian Medical Academy of Continuing Professional Education; Semashko National Research Institute of Public Health
Russian Federation

Vitaliy V. Omelyanovskiy – Dr. Med. Sc., Professor, Director General, Center for Healthcare Quality Assessment and Control; Head of Center for Healthcare Finance; Chief of Chair of Healthcare Organization and Public Health with a Course; Chief Researcher

10/5 Khokhlovskiy Passage, Moscow 109028

3/2 Nastasyinskiy Passage, Moscow 127006

2/1 bldg 1 Barrikadnaya Str., Moscow 123242

12 bldg 1 Vorontsovo Pole Str., Moscow 105064

WoS ResearcherID: P-6911-2018

Scopus Author ID: 6507287753



F. V. Gorkavenko
Center for Healthcare Quality Assessment and Control; Russian Medical Academy of Continuing Professional Education
Russian Federation

Filipp V. Gorkavenko – Deputy Head of Department of Methodological Support for the Comprehensive Assessment of Technologies in Healthcare; Assistant Professor, Chair of Healthcare Organization and Public Health with a Course

10/5 Khokhlovskiy Passage, Moscow 109028

2/1 bldg 1 Barrikadnaya Str., Moscow 123242



N. V. Ignatyeva
Sechenov University
Russian Federation

Nelli V. Ignatyeva – PhD (Pharm.), Assistant Professor, Chair of Pharmacology, Nelyubin Institute of Pharmacy

8/2 Trubetskaya Str., Moscow 119991



P. A. Mukhortova
Center for Healthcare Quality Assessment and Control
Russian Federation

Polina A. Mukhortova – Leading Expert, Department of Methodological Support

10/5 Khokhlovskiy Passage, Moscow 109028



O. R. Ryzhova
Center for Healthcare Quality Assessment and Control
Russian Federation

Olga R. Ryzhova – Leading Expert, Department of Methodological Support

10/5 Khokhlovskiy Passage, Moscow 109028



T. S. Teptsova
Center for Healthcare Quality Assessment and Control; Russian Medical Academy of Continuing Professional Education
Russian Federation

Tatiana S. Teptsova – Deputy Head of Department of Methodological Support

10/5 Khokhlovskiy Passage, Moscow 109028

2/1 bldg 1 Barrikadnaya Str., Moscow 123242



A. A. Kingshott
Center for Healthcare Quality Assessment and Control; Russian Medical Academy of Continuing Professional Education
Russian Federation

Anastasia A. Kingshott – Head of Department of Methodological Support for the Comprehensive Assessment of Technologies in Healthcare; Assistant Professor, Chair of Healthcare Organization and Public Health with a Course

10/5 Khokhlovskiy Passage, Moscow 109028

2/1 bldg 1 Barrikadnaya Str., Moscow 123242



B. B. Kondratyeva
Center for Healthcare Quality Assessment and Control
Russian Federation

Bela B. Kondratyeva – Leading Expert, Department of Methodological Support

10/5 Khokhlovskiy Passage, Moscow 109028



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For citations:


Omelyanovskiy V.V., Gorkavenko F.V., Ignatyeva N.V., Mukhortova P.A., Ryzhova O.R., Teptsova T.S., Kingshott A.A., Kondratyeva B.B. Real-world data: principles of use in decision making and in health technology assessment. FARMAKOEKONOMIKA. Modern Pharmacoeconomics and Pharmacoepidemiology. 2023;16(2):283-290. (In Russ.) https://doi.org/10.17749/2070-4909/farmakoekonomika.2023.167

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ISSN 2070-4909 (Print)
ISSN 2070-4933 (Online)