%0 Journal Article
%T Decision model support of severity of injury traffic accident victims care by SAMU 192
%A Rackynelly Alves Sarmento Soares
%A Ana Paula de Jesus Tom¨¦ Pereira
%A Ronei Marcos de Moraes
%A Rodrigo Pinheiro de Toledo Vianna
%J Revista Sa¨²de.Com
%D 2013
%I Universidade Estadual do Sudoeste da Bahia
%X Traffic accidents produce high morbidity and mortality in several countries, including Brazil. The initial care to victims of accidents, by a specialized team, has tools for evaluating the severity of trauma, which guide the priorities. This study aimed to develop a decision model applied to pre-hospital care, using the Abbreviated Injury Scale, to define the severity of the injury caused by the AT, as well to describe the features of accidents and their victims, occurred in Joao Pessoa, Paraiba. This is a descriptive epidemiological investigation, sectional, which analyzed all victims of traffic accidents attended by the SAMU 192, Jo o Pessoa-PB, in January, April and June 2010. Data were collected in the medical regulation sheets of SAMU 192. Most of victims were male (76%), aged between 20 and 39 years (60%). Most injuries were classified as AIS1 (62.5%). The model of decision support implemented was the decision tree that managed to correctly classify 95.98% of the severity of injuries. By this model, it was possible to extract 29 rules of gravity classification of injury, which may be used for decision-making teams of the SAMU 192.
%K Traffic accidents
%K classification
%K abbreviated injury scale
%K Decision Support Techniques
%K decision trees
%U http://www.uesb.br/revista/rsc/v9/v9n2a01.pdf