Territorial organization of healthcare in Rivne region in the focus of human geography
Journal Title: Економічна та соціальна географія - Year 2016, Vol 75, Issue
Abstract
The feasibility of in-depth analysis of the territorial organization of the healthcare system in Rivne region is determined primarily by the need to assess the quality of public health facilities operation and their availability in the region, which suffered significant radioactive contamination as a result of the Chernobyl accident. The main goal of this study was to determine the characteristics of the territorial organization of healthcare system in Rivne Region assessing its impact on the medical and demographic situation in the region. Analysis of the territorial organization of medical services in Rivne Region was carried out by determining the number of parameters (localization index, index of territorial concentration, service area, and service radius). The best indicators of the ratio of health care institutions to the population are observed in Ostroh, Rivne, Kostopil and Zdolbunov districts. The biggest discrepancy between these figures were found in Berezne, Koretsk, Volodymyrets and Dubrovytsya districts, primarily due to the peripheral location of these districts in the region. Similar differences have developed well in terms of access to medical facilities. The smallest service areas of medical institutions are (188-244 sq. km) in Demydiv, Zdolbuniv, and Berezne districts. The biggest service areas of medical institutions are in Dubno, Kostopil, Ostroh, and Goshcha districts (692-1200 sq km). In general, the southern and central parts of the region are better provided with medical facilities. Rivne district should be noted separately for the best indicators of public healthcare due to its “capital” status. A correlation analysis was conducted in order to establish the relationship between the number of hospitals, on the one hand, and medical and demographic indicators (total mortality, morbidity, and spread of diseases). The results indicate a strong dependence: r1 = 0.7, r2 = 0.8, r3 = 0.9 respectively. This means that the public health depends significantly on the level of medical care.
Authors and Affiliations
Anastasia Hreben
Keywords
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- EP ID EP236361
- DOI 10.17721/2413-7154/2016.75.63-68
- Views 101
- Downloads 0
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