ASSESSMENT OF HEALTH CARE DEVELOPMENT IN UKRAINE BASED ON IMPULSE MODELING

Abstract

Objective. The objective of the study is to analyze the current state of health of the population of Ukraine based on a system of indicators that reflect the quality of the provision of medical services, to perform impulse modeling of the indicators of the health care system of Ukraine and to develop scenarios for the management of the medical industry of Ukraine. Methods. Historical, logical and system-structural approaches to the analysis of the medical industry of Ukraine. Modern methods of data modeling analysis are used, including correlation analysis, analysis of cause and effect relationships, impulse cognitive analysis, etc. The work uses information and analytical products, among which MS Excel is noted. The information base of the study is scientific works of domestic and foreign scientists, Laws of Ukraine, resolutions of the Cabinet of Ministers of Ukraine, regulations and statistical materials of the State Statistics Service of Ukraine, the World Data Bank, Eurostat and the Center for Health Statistics of Ukraine, research and analytical materials, Internet resource. Results. The statistical indicators of medical reporting and their classifiers of medical care of the population of Ukraine were studied, a comparative analysis of the budgets of the European Union and Ukraine and country ratings by the indicator of the level of health care expenses per person was made, as well as the average life expectancy of the population in Ukraine was analyzed. The system of statistical indicators for impulse modeling, the use of correlation analysis to study the relationship between influential factors and to build a cognitive map are substantiated. The results of the application of impulse models in the management of the health care system and possible scenarios of its development were obtained. The advantages of using impulse modeling in the management of socio-economic systems in the conditions of crisis phenomena, which allows to quickly respond to dynamic changes in social life, have been proven. As a result of impulse cognitive modeling, it was found that the best indicators of life expectancy can be achieved by the development of scenario 5, namely, the reduction of medical institutions by 23%, and the number of medical beds by 6.3%.