scholarly journals The pattern of orthopedic fractures and visceral injury in road traffic crash victims, Addis Ababa, Ethiopia

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0253690
Author(s):  
Zuriyash Mengistu ◽  
Ahmed Ali ◽  
Teferi Abegaz
Keyword(s):  
Low Income ◽  
Road Traffic ◽  
Addis Ababa ◽  
Homeless Persons ◽  
Road Traffic Crash ◽  
Fracture Type ◽  
Compound Fracture ◽  
Visceral Injury ◽  
Traffic Crash ◽  
Orthopedic Injury

Background Road Traffic crash injury is one of the main public health problems resulting in premature death and disability particularly in low-income countries. However, there is limited evidence on the crash fractures in Ethiopia. Objective The study was conducted to assess the magnitude of road traffic crash fractures and visceral injuries. Methods A hospital-based cross-sectional study was conducted on 420 fracture patients. Participants were randomly selected from Addis Ababa City hospitals. The study was carried out between November 2019 and February 2020. Data were collected using a questionnaire and record of medical findings. Multilevel logistic regression analysis was carried out. Ethical clearance was obtained from the Addis Ababa University, College of Health Sciences Institutional Review Board. Confidentiality of participants’ information was maintained. Results The study found out that the majority 265 (63. 1%) of fracture cases were younger in the age group of 18 to 34 years. Males were more affected—311(74.0%). The mortality rate was 59(14.1%), of those 50(85.0%) participants were males. The major road traffic victims were pedestrians—220(52.4%), mainly affected by simple fracture type -105(53.3%) and compound fracture type—92(46. 7%). Drivers mainly suffered from compound fracture type -23 (59.0%). One hundred eighty-two (43.3%) of fracture patients had a visceral injury. Homeless persons who sit or sleep on the roadside had a higher risk of thoracic visceral injury compared to traveler pedestrians (AOR = 4.600(95%CI: 1.215–17.417)); P = 0.025. Conclusion Visceral injury, simple and compound fractures were the common orthopedic injury types reported among crash victims. Males, pedestrians, and young age groups were largely affected by orthopedic fracture cases. Homeless persons who sited or slept on the roadside were significant factors for visceral injury. Therefore, preventing a harmful crash and growing fracture care should be considered to reduce the burden of crash fracture.

scholarly journals Analysis of Pedestrian-Vehicle Crashes Using Artificial Learning Methods: City of Sakarya Case Study

2021 ◽  
Vol 4 (2) ◽  
pp. 221-230
Author(s):  
Zeliha Cagla Kuyumcu ◽  
Suhrab Ahadi ◽  
Hakan Aslan
Keyword(s):  
Low Income ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Low Income Countries ◽  
Road Traffic Crash ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Traffic Crash ◽  
Artificial Learning

The lives of approximately 1.3 million people are cut short every year as a result of road traffic crashes. Between 20 and 50 million people suffer non-fatal injuries, with many incurring a disability as a result of their injury. The risk of dying in a road traffic crash is more than 3 times higher in low-income countries than in high-income countries [1]. In Turkey, 18% of traffic accidents was related to pedestrian-vehicle collisions in urban roads in 2020. In addition, 20% of death toll caused by accidents is pedestrians in 2020 [2]. This study deals with the some of classifiers to forecast the number of injuries as a result of traffic accidents. The classifier’s performance ratios were also examined.

scholarly journals Predictive Factors for Fatality After Traumatic Brain Injury Among Road Traffic Crash Victims in Addis Ababa City, Ethiopia

2021 ◽  
Author(s):  
Zuriyash Mengistu ◽  
Ahmed Ali ◽  
Teferi Abegaz
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Predictive Factors ◽  
Road Traffic ◽  
Addis Ababa ◽  
Road Traffic Crash ◽  
Cluster Sampling ◽  
Traffic Crash ◽  
Brain Injured ◽  
Injured Patients

Abstract Background Traumatic brain injury (TBI) is one of the common preventable causes of mortality and disability among road traffic victims worldwide, most especially in low- and middle-income countries, including Ethiopia. Objective to determine risk factors of mortality after traumatic brain injury due to road traffic crash. Methods This study aimed to examine the predictive factors of short-term mortality after severe brain injury due to a road traffic crash. The study was done on a prospective cohort of 242 severely brain-injured patients selected using cluster sampling in Addis Ababa City hospitals. The study was conducted from February 2018 to November 2019. Data were collected from brain-injured patients using a questionnaire and recorded findings within the first 24 hours of admission, Survival Analysis was used for statistical analysis. Ethical clearance was obtained from the Addis Ababa University, College of Health Sciences Institutional Review Board (IRB). Confidentiality of information about injured patients was maintained. Results In this study, the death rate was 73(30.2%). The majority of TBI patients accounting for, 186(81%) were men. The median age of TBI patients was 29 years. The hazard for those patients with subnormal body temperature was 1.64 times that of normal temperature (AHR: 1.64; CI: 2.14-10.29). The estimated fatality hazard ratio for patients who experienced Glasgow Coma Scale (GCS)below six was 5.61 times higher compared to GCS six to eight (CI:3.1-10.24). Conclusion In conclusion, there was high early mortality of patients (30.2%) in Ethiopia. Being men, young and lower GCS were associated with higher mortality hazards. Hence, optimum advanced neuro-surgical pre-hospital care programs are urgently needed.

scholarly journals 169 Risk of road traffic crash, medical factors and behavioural adaptations in elderly drivers

2016 ◽  
Vol 22 (Suppl 2) ◽  
pp. A62.2-A62
Author(s):  
Audrey Luxcey ◽  
Emmanuel Lagarde ◽  
Sylviane Lafont ◽  
Marie Zins ◽  
Benjamin Contrand ◽  
...  
Keyword(s):  
Road Traffic ◽  
Road Traffic Crash ◽  
Traffic Crash ◽  
Medical Factors ◽  
Elderly Drivers ◽  
Behavioural Adaptations

scholarly journals Different Patterns of Mental Health Outcomes among Road Traffic Crash Survivors: A Prospective Cohort Study

2021 ◽  
Vol 18 (4) ◽  
pp. 1564
Author(s):  
Jelena Kovacevic ◽  
Ivica Fotez ◽  
Ivan Miskulin ◽  
Davor Lesic ◽  
Maja Miskulin ◽  
...  
Keyword(s):  
Posttraumatic Stress Disorder ◽  
Mental Disorders ◽  
Posttraumatic Stress ◽  
Stress Disorder ◽  
Road Traffic ◽  
Sociodemographic Factors ◽  
Road Traffic Crash ◽  
Traffic Crash ◽  
Factors Associated ◽  
Before And After

This study aimed to investigate factors associated with the symptoms of mental disorders following a road traffic crash (RTC). A prospective cohort of 200 people was followed for 6 months after experiencing an RTC. The cohort was comprised of uninjured survivors and injured victims with all levels of road traffic injury (RTI) severity. Multivariable logistic regression analyses were performed to evaluate the associations between the symptoms of depression, posttraumatic stress disorder and anxiety one and six months after the RTC, along with sociodemographic factors, health status before and after the RTC, factors related to the RTI and factors related to the RTC. The results showed associations of depression, anxiety, and posttraumatic stress disorder symptoms with sociodemographic factors, factors related to the health status before and after the RTC and factors related to the RTC. Factors related to the RTI showed associations only with depression and posttraumatic stress disorder symptoms. Identifying factors associated with mental disorders following an RTC is essential for establishing screening of vulnerable individuals at risk of poor mental health outcomes after an RTC. All RTC survivors, regardless of their RTI status, should be screened for factors associated with mental disorders in order to successfully prevent them.

Are road traffic crash fatality rates converging among OECD countries?

2013 ◽  
Vol 52 ◽  
pp. 162-170 ◽  
Author(s):  
Hong Son Nghiem ◽  
Luke B. Connelly ◽  
Susan Gargett
Keyword(s):  
Road Traffic ◽  
Oecd Countries ◽  
Road Traffic Crash ◽  
Traffic Crash
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