Bolʹ, Sustavy, Pozvonočnik (Mar 2024)

Principles of risk-based modeling of road traffic injury as a medical and sanitary consequence of a man-made emergency in Ukraine

  • S.O. Guryev,
  • V.A. Kushnir,
  • N.I. Iskra,
  • V.Yu. Kuzmin

DOI
https://doi.org/10.22141/pjs.14.1.2024.406
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 7

Abstract

Read online

Background. The provision of modern medical care to victims of road accidents requires the development of standardized approaches. One of the main mechanisms for solving this problem is the formation of scientifically sound clinical protocols and clinical routes for providing medical care, which is essential to creating a model of traffic injury. The purpose of the study was to form a mo­del of traffic trauma in Ukraine as a health-sanitary consequence of an emergency of a man-made nature as a whole and on its basis — a model of providing medical assistance to victims of traffic trauma. Materials and methods. An array of studies of 1696 victims as a result of a traffic accident was formed. Methods of full mo­deling, insoluble randomization, formal logic, and medical statistics were applied. Clinical effective risks were identified. Results. Fundamental principles of modeling road trauma as a health-sanitary consequence of an emergency of a man-made nature as a whole and according to the main types of administrative-territorial entities of Ukraine were presented. The main criterion was the risk of the most serious consequence-the death of the victim, as well as determining the impact of risk-forming factors that did not form clinical-results risk. It has been proven that modeling traffic injury is an effective mechanism for reducing the severity of the medical consequences of road accidents. Conclusions. It is advisable to carry out the formation of models of traffic injury on a hierarchical principle. The principle of modeling significantly optimized making clinical and organizational decisions in the process of providing medical care and allowed to reduce the mortality rate of the victims by 8–11 %.

Keywords