The article analyzes the problems of organizing the provision of primary medical care for rural areas of the Republic of Tuva. The necessity of using specialized vehicles to increase the mobility of the paramedic and to perform all functions in the standard operating time is substantiated. A mathematical model has been developed to justify the quantitative and brand composition of vehicles for typical regions of the Republic of Tuva. The outflow of the rural population in the regions of the Republic of Tuva led to a set of accumulated problems that impeded the sustainable development of the region. The state graph is constructed on the basis of statistical data on the work of paramedic-midwifery stations. The simulation research of their effectiveness has been carried out using the theory of queuing systems. The simulation of the functioning of the paramedic-midwife station shows that only 31-37 % of applications can be executed in typical areas: Mongun-Taiginsky, Todzhinsky and Tere-Kholsky districts according to the average data of the number of appeals of the rural population for a normative shift in the work of a paramedic in the absence of a vehicle. It takes the paramedic 1.79-2.17 times more the duration of the regulatory shift to satisfy all incoming applications. The applications can be 100 % fulfilled using a car for a rural doctor. The recommendations have been developed to improve the performance of the rural doctor by increasing his mobility. For this, each paramedic -midwife station (further FAP) must have one specialized car that meets the requirements of ecology and geometric cross-country ability in the hard-to-reach typical areas. It is necessary to have a specialized customer service and reserve cars in the system of transport support for medical care.
CITATION STYLE
Ondar, A., & Levshin, A. (2020). Transport provision for increasing mobility of rural doctor in typical districts of the Republic of Tuva. In Engineering for Rural Development (Vol. 19, pp. 1692–1697). Latvia University of Life Sciences and Technologies. https://doi.org/10.22616/ERDev.2020.19.TF437
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