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Analysis of the Regional Differentiation and Tendencies in Development of the Health Care Sphere in Ukraine
Lazebnyk I. O., Chala T. G., Burakova A. O.

Lazebnyk, Iuliia O., Chala, Tеtyana G., and Burakova, Anhelina O. (2019) “Analysis of the Regional Differentiation and Tendencies in Development of the Health Care Sphere in Ukraine.” Business Inform 10:158–164.
https://doi.org/10.32983/2222-4459-2019-10-158-164

Section: Economic statistics

UDC 311.2:314.4(477)

Abstract:
The article is aimed at elaborating methods and techniques for statistically ensuring the analysis of regional differentiation, development tendencies and forecasting of the main indicators of the health sector in Ukraine and its impact on mortality. The main health care factors that affect the mortality of the population in Ukraine are allocated and analyzed. Based on the use of correlation analysis methods, the most influential factors are defined, which include the number of hospitals and clinics, the number of doctors of all specialties, the number of diseases, the diseases of the population associated with the mental health disorders, tumors. In order to increase the efficiency of modernization of the health care sphere in Ukraine, it is proposed to group the regions of the country according to the status of this sphere and adjust management decisions for each of the allocated groups according to its characteristics. The grouping of regions of Ukraine by the status of the health care sector was carried out using cluster analysis methods. An analysis of the features of differentiation of regions by the factors affecting the mortality of the Ukrainian population from the point of view of health care has been carried out. Using the singular spectral analysis methods, tendencies and seasonality are researched, a forecast of mortality of the population of Ukraine for 2020 is generated. Adequacy of the models, built on the base of calculations of error of the MAPE forecast, is proven. It is proposed to use the built models to scientifically substantiate the prospective rates of mortality of the population according to the allocated groups of Ukrainian regions; in planning for measures and strategies of development of the health care sphere at the local level, based on features of a region; in developing managerial decisions in the sphere of the country’s socio-demographic policy.

Keywords: analysis of regional differentiation, health care, correlation analysis, forecasting of mortality of the population, cluster analysis.

Fig.: 4. Tabl.: 1. Formulae: 1. Bibl.: 9.

Lazebnyk Iuliia O. – Doctor of Sciences (Economics), Professor, Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]
Chala Tеtyana G. – Candidate of Sciences (Economics), Associate Professor, Associate Professor, Department of Statistics, Accounting and Auditing, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]
Burakova Anhelina O. – Student, V. N. Karazin Kharkiv National University (4 Svobody Square, Kharkіv, 61022, Ukraine)
Email: [email protected]

List of references in article

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“Programma «Caterpillar SAS» (analiz vremennykh ryadov)“ [Caterpillar SAS Program (Time Series Analysis)]. http://www.gistatgroup.com/gus/index.html
Chepelevska, L. A. “Tendentsii medyko-demohrafichnykh pokaznykiv Ukrainy u XXI stolitti“ [Trends in Medical and Demographic Indicators of Ukraine in the XXI Century]. Ukraina. Zdorovia natsii, no. 1 (2018): 48-53.
Busse, R. et al. “Tackling chronic disease in Europe. Strategies, interventions and challenges“. http://www.euro.who.int/__data/assets/pdf_file/0008/96632/E93736.pdf

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