Population health organizational monitoring technologies in the Russian Federation
- Authors: Cherkasov S.N.1, Fedyaeva A.V.1, Meshkov D.O.1, Zolotarev P.N.2, Moroz I.N.3
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Affiliations:
- Institute of Control Sciences of the Russian Academy of Sciences
- Ministry of Health of the Samara Region
- Belarusian State Medical University
- Issue: Vol 8, No 3 (2022)
- Pages: 57-66
- Section: ORIGINAL STUDY ARTICLES
- URL: https://journals.rcsi.science/2411-8729/article/view/122467
- DOI: https://doi.org/10.17816/fm712
- ID: 122467
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Abstract
BACKGROUND: The present stage of modern civilization is characterized as a political, social, economic, and climatological evolution, with which the issue of effective functioning of the health system, population health status study and analysis, and ensuring control and management of the processes of public health formation is acute. This task can be conducted only within the framework of population health monitoring measures.
AIMS: The study aimed to analyze the organizational technology for monitoring population health in the Russian Federation.
MATERIALS AND METHODS: The data of expert assessments of the World Health Organization Collaborating Center on the Family of International Classifications of Information Coding Quality and the results of the discussion at conferences on the problems of population health monitoring were used.
RESULTS: The organization of systemic monitoring as a method of managing public health should include the definition of a set of informative monitoring parameters, as well as clear mechanisms for collecting and analyzing data. Additional parameters shall be possible if necessary.
CONCLUSION: Monitoring should be based on a family of international classifications, but derived classifications should be developed and used as a link between statistical and clinical classifications. The organization of systemic monitoring as a method of managing public health should include the definition of a set of informative monitoring parameters, as well as clear mechanisms for collecting and analyzing data, with possible additional parameters if necessary.
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##article.viewOnOriginalSite##About the authors
Sergei N. Cherkasov
Institute of Control Sciences of the Russian Academy of Sciences
Email: cherkasovsn@mail.ru
ORCID iD: 0000-0003-1664-6802
SPIN-code: 5392-9889
MD, Dr. Sci. (Med.), Senior Research Associate
Russian Federation, MoscowAnna V. Fedyaeva
Institute of Control Sciences of the Russian Academy of Sciences
Author for correspondence.
Email: orgzdravotdel@gmail.com
ORCID iD: 0000-0002-8874-0921
SPIN-code: 4383-7594
MD, Cand. Sci. (Med.), Senior Research Associate
Russian Federation, MoscowDmitry O. Meshkov
Institute of Control Sciences of the Russian Academy of Sciences
Email: dmitrymeshkov@mail.ru
ORCID iD: 0000-0001-6474-7427
SPIN-code: 9305-3167
MD, Dr. Sci. (Med.), Senior Research Associate
Russian Federation, MoscowPavel N. Zolotarev
Ministry of Health of the Samara Region
Email: zolotareff@list.ru
ORCID iD: 0000-0003-4020-0720
SPIN-code: 6446-9350
MD, Dr. Sci. (Med.)
Russian Federation, SamaraIrina N. Moroz
Belarusian State Medical University
Email: moroz_iri@bk.ru
ORCID iD: 0000-0002-7430-3237
SPIN-code: 2933-9746
MD, Dr. Sci. (Med.), Professor
Belarus, MinskReferences
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