Research Article

DSM algorithm to determine the decentralized bases of the SAMU natal through the use of simulation

Eric Lucas dos Santos Cabral, Wilkson Ricardo Silva Castro, Davidson Rogério de Medeiros Florentino, João Florêncio da Costa Jr., Talita Dias Chagas Frazão, Claudia Aparecida Cavalheiro Francisco, Ricardo Pires de Souza, Amália Cinthia Meneses Rêgo, Irami Araújo Filho* and Marco Antônio Leandro Cabral

Published: 05/12/2020 | Volume 5 - Issue 1 | Pages: 007-015

Abstract

The growth of the urban population exerts considerable pressure on municipalities’ public managers to focus their attention on providing emergency medical care that meets the growing demand for emergency pre-hospital medical care. It is estimated that, by 2050, urban areas should have a population of 6.29 billion people, equivalent to 69% of the world’s total population. Currently, there are a significant number of traffic accidents and other serious occurrences, such as heart attacks, drownings, fires and disasters (floods, landslides, earthquakes) that demand a prompt and seamless response from pre-hospital medical care. In Brazil in the year of 2014 there were 43,075 traffic-related deaths and in 2016 62,517 homicides occurred. As a result of such scenario, the present article endeavours to apply a dual-coverage mathematical model (DSM-Double Standard Model) to define the optimal location of the SAMU decentralized dispatch bases in Natal / RN and conduct a simulation study to evaluate the displacement of ambulances between such bases. The results obtained throughout the research demonstrated the feasibility of redefining the decentralized bases of SAMU/Natal ambulances as a strategy to reduce response time and guarantee compliance with performance parameters established by international organizations (the World Health Organization, for instance, establishes the time of 8 minutes for emergency medical service calls response). The simulation study showed a significant reduction in response time, by up to 60% in some cases.

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