scholarly journals Improving the timeliness and accuracy of injury severity data in road traffic accidents in an emerging economy setting

2018 ◽  
Vol 31 (2) ◽  
pp. 140-146
Author(s):  
Carlos Lam ◽  
Chang-I Chen ◽  
Chia-Chang Chuang ◽  
Chia-Chieh Wu ◽  
Shih-Hsiang Yu ◽  
...  
Author(s):  
Jaratsri Rungrattanaubol ◽  
Anamai Na-udom ◽  
Antony Harfield

This paper introduces a computer-based model for predicting the severity of injuries in road traffic accidents. Using accident data from surveys at hospitals in Thailand, standard data mining techniques were applied to train and test a multilayer perceptron neural network. The resulting neural network specification was loaded into an interactive environment called EDEN that enables further exploration of the computer-based model. Although the model can be used for the classification of accident data in terms of injury severity (in a similar way to other data mining tools), the EDEN tool enables deeper exploration of the underlying factors that might affect injury severity in road traffic accidents. The aim of this paper is to describe the development of the computer-based model and to demonstrate the potential of EDEN as an interactive tool for knowledge discovery.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Kovacevic ◽  
M Miskulin ◽  
D Degmecic ◽  
A Vcev ◽  
H Palenkic ◽  
...  

Abstract Background Mental health outcomes of road traffic accidents (RTAs) are always investigated amongst the injured. The aim of this study was to investigate psychological consequences and associated factors in all RTA survivors irrelevant of their injury status. Methods A cohort of 200 Croatian RTA survivors was assessed one month after experiencing a RTA using the posttraumatic stress disorder (PTSD) Checklist for civilians, the Beck Depression Inventory and the Beck Anxiety Inventory. The New Injury Severity Scale was used for the injury severity assessment. Results RTA survivors reported substantial rates of PTSD (35.5%) and depression (20.0%) symptoms, and low rates of anxiety (4.5%). Symptoms of depression were associated with under-average self-perceived economic status (SES) (P = 0.001), irreligiousness (P = 0.001), medication use (P < 0.001), injury severity (P < 0.001), self-perceived threat to life (P < 0.022), hospitalization (P = 0.003), hospitalization duration (P = 0.004), surgical treatment of the injury (P < 0.001), unconsciousness in the RTA (P = 0.033) and post-RTA amnesia (0.039). PTSD symptoms were associated with unemployment (P = 0.034), under average SES (P = 0.004), lack of previous RTA experience (P = 0.025), previous psychiatric illness (P = 0.001), medication use (P = 0.001), psychiatric medication use (P < 0.001), injury affliction (P = 0.001), injury severity (P < 0.001), self-perceived threat to life (P < 0.001), pain after RTA (P = 0.009), hospitalization duration (P = 0.017) and claiming compensation (P = 0.008). Anxiety symptoms were associated with previous chronic (P = 0.037) or psychiatric illness (P = 0.010), previous permanent pain (P < 0.001), psychiatric medication use (P = 0.013) and rehabilitation after injury (P = 0.032). Conclusions A RTA is a traumatic event that can result in physical injuries, but also with psychological consequences depending on pre-RTA survivor's characteristics. Psychological support to those at risk may prevent psychological disorders after a RTA. Key messages Along with evaluation and treatment of road traffic accidents injuries, health care providers should evaluate pre-accident health status of all road traffic accidents victims. Understanding factors that present risk for poor mental health outcomes after the road traffic accidents is the key step in planning and organizing recovery of accidents survivors.


2009 ◽  
Vol 3 (4) ◽  
pp. 196-200 ◽  
Author(s):  
Kobi Peleg ◽  
Bella Savitsky ◽  

ABSTRACTBackground: Terrorism victims comprise the minority among trauma injured people, but this small population imposes a burden on the health care system. Thirty percent of the population injured in terrorist activities experienced severe trauma (injury severity score ≥16), more than half of them need a surgical procedure, and 25% of the population affected by terrorism had been admitted to intensive care. Furthermore, compared with patients with non–terrorism-related trauma, victims of terrorism often arrive in bulk, as part of a mass casualty event. This poses a sudden load on hospital resources and requires special organization and preparedness. The present study compared terrorism-related and road accident–related injuries and examined clinical characteristics of both groups of patients.Methods: This study is a retrospective study of all patients injured through terrorist acts and road traffic accidents from September 29, 2000 to December 31, 2005, and recorded in the Israel Trauma Registry. Data on the nature of injuries, treatment, and outcome were obtained from the registry. Medical diagnoses were extracted from the registry and classified based on International Classification of Diseases coding. Diagnoses were grouped to body regions, based on the Barell Injury Diagnosis Matrix.Results: The study includes 2197 patients with terrorism-related injuries and 30,176 patients injured in road traffic accidents. All in all, 27% of terrorism-related casualties suffered severe to critical injuries, comparing to 17% among road traffic accident–related victims. Glasgow Coma Scale scores ≤8, measured in the emergency department, were among 12.3% of terrorism victims, in contrast with 7.4% among people injured on the roads. The terrorism victims had a significantly higher rate of use of intensive care facilities (24.2% vs 12.4%). The overall inpatient death rate was 6.0% among terrorism victims and 2.4% among those injured in road traffic accidents.Conclusions: Casualties from terrorist events are more severely injured and require more resources relative to casualties from road traffic accidents. (Disaster Med Public Health Preparedness. 2009;3:196–200)


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