Geoinformation analysis russian health system: modeling, visualization, analysis

Alexander N. Panin (), Vladimir S. Tikunov (), Vitaly M. Eshrokov () and Tamara V. Vatlina ()
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Alexander N. Panin: Lomonosov Moscow State University, Moscow, Russia
Vladimir S. Tikunov: Lomonosov Moscow State University, Moscow, Russia
Vitaly M. Eshrokov: North-Caucasian Federal University, Stavropol, Russia
Tamara V. Vatlina: Smolensk State University, Smolensk, Russia

Population and Economics, 2023, vol. 7, issue 3, 136-171

Abstract: In the Russian Federation, noticeable differences remain among its constituent entities in terms of citizens' access to high-quality medical care. The primary challenges in the development of the nation's healthcare system and its various regions are closely linked to demographic trends and the need to address mortality problems. The state of regional healthcare systems plays a pivotal role in influencing mortality rates, which, in turn, serves as a reflection of the regional and municipal healthcare systems' overall development. Consequently, the development of an algorithm or methodology for assessing the effectiveness of healthcare systems, as mandated by strategic and territorial planning documents at all administrative levels, has become a pressing scientific concern and the focal point of this research. The development of the algorithm involved a multifactor analysis and geoinformation mapping methods. The authors have developed specific criteria to evaluate the current state of healthcare systems in the constituent entities of the Russian Federation and municipalities, taking into account their impact on target socio-economic indicators and mortality rates aligned with the national objectives of the Russian Federation, as well as the goals outlined in the National Projects «Healthcare» and «Demography.» Through a comprehensive analysis of demographic and socio-economic factors, the research has unveiled distinctive characteristics in the spatial organization and structure of healthcare systems, both at the municipal and constituent entity levels within the Russian Federation. This analysis has facilitated the development of typologies for the constituent entities based on a comprehensive composite indicator that encompasses both medical and non-medical factors. The authors have introduced a system of cartographic indicators designed to evaluate the efficiency of the spatial organization of healthcare systems at various territorial levels, encompassing constituent entities of the Russian Federation, municipalities, and settlements. To support this evaluation, the authors have prepared a series of original cartographic materials for each level, featuring corresponding assessment indicators.

Keywords: geographic; information; methods; multivariate; analysis; spatial; organization; of; the; healthcare; system; strategic; planning; territorial; planning; typology (search for similar items in EconPapers)
JEL-codes: I (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:arh:jpopec:v:7:y:2023:i:3:p:136-171

DOI: 10.3897/popecon.7.e104639

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