Effective Factors in Severity of Traffic Accident-Related Traumas; an Epidemiologic Study Based on the Haddon Matrix
Archives of Academic Emergency Medicine,
Vol. 4 No. 2 (2016),
1 Ordibehesht 2016
,
Page 78-82
https://doi.org/10.22037/aaem.v4i2.224
Abstract
Introduction: Traffic accidents are the 8th cause of mortality in different countries and are expected to rise to the 3rd rank by 2020. Based on the Haddon matrix numerous factors such as environment, host, and agent can affect the severity of traffic-related traumas. Therefore, the present study aimed to evaluate the effective factors in severity of these traumas based on Haddon matrix. Methods: In the present 1-month cross-sectional study, all the patients injured in traffic accidents, who were referred to the ED of Imam Khomeini and Golestan Hospitals, Ahvaz, Iran, during March 2013 were evaluated. Based on the Haddon matrix, effective factors in accident occurrence were defined in 3 groups of host, agent, and environment. Demographic data of the patients and data regarding Haddon risk factors were extracted and analyzed using SPSS version 20. Results: 700 injured people with the mean age of 29.66 ± 12.64 years (3-82) were evaluated (92.4% male). Trauma mechanism was car-pedestrian in 308 (44%) of the cases and car-motorcycle in 175 (25%). 610 (87.1%) cases were traffic accidents and 371 (53%) occurred in the time between 2 pm and 8 pm. Violation of speed limit was the most common violation with 570 (81.4%) cases, followed by violation of right-of-way in 57 (8.1%) patients. 59.9% of the severe and critical injuries had occurred on road accidents, while 61.3% of the injuries caused by traffic accidents were mild to moderate (p < 0.001). The most common mechanisms of trauma for critical injuries were rollover (72.5%), motorcycle-pedestrian (23.8%), and car-motorcycle (13.14%) accidents (p < 0.001). Conclusion: Based on the results of the present study, the most important effective factors in severity of traffic accident-related traumas were age over 50, not using safety tools, and undertaking among host-related factors; insufficient environment safety, road accidents and time between 2 pm and 8 pm among environmental factors; and finally, rollover, car-pedestrian, and motorcycle-pedestrian accidents among the agent factors.- Wounds and injuries
- accidents
- traffic
- risk factors
How to Cite
References
Hoyt DB, Coimbra R, Potenza B. Management of acute trauma. Sabiston textbook of surgery. 4 ed. Philadelphia: Saunders; 2004. p. 483-532.
Sharma B. Road traffic injuries: a major global public health crisis. Public Health. 2008;122(12):1399-406.
Eid HO, Barss P, Adam SH, et al. Factors affecting anatomical region of injury, severity, and mortality for road trauma in a high-income developing country: lessons for prevention. Injury. 2009;40(7):703-7.
Majdzadeh R, Khalagi K, Naraghi K, Motevalian A, Eshraghian MR. Determinants of traffic injuries in drivers and motorcyclists involved in an accident. Accid Anal Prev. 2008;40(1):17-23.
Åstrøm AN, Moshiro C, Hemed Y, Heuch I, Kvåle G. Perceived susceptibility to and perceived causes of road traffic injuries in an urban and rural area of Tanzania. Accid Anal Prev. 2006;38(1):54-62.
Bidgoli HH, Bogg L, Hasselberg M. Pre-hospital trauma care resources for road traffic injuries in a middle-income country—A province based study on need and access in Iran. Injury. 2011;42(9):879-84.
Saadat S, Yousefifard M, Asady H, Jafari AM, Fayaz M, Hosseini M. The Most Important Causes of Death in Iranian Population; a Retrospective Cohort Study. Emergency. 2014;3(1):16-21.
Peden M. World report on road traffic injury prevention. World Health Organization Geneva; 2004.
Christoffel T, Gallagher SS. Injury prevention and public health: practical knowledge, skills, and strategies: Jones & Bartlett Learning; 2006. p.
Kumar PS, Srinivasan K. To study the socio demographic profile of road traffic accident victims in district hospital, karimnagar. Int J Res Dev Health August. 2013;1(3):136-40.
Wang S-M, Dalal K. Road Traffic Injuries in Shanghai, China. HealthMed. 2012;6(1):74-80.
Hatamabadi H, Vafaee R, Haddadi M, Abdalvand A, Esnaashari H, Soori H. Epidemiologic study of road traffic injuries by road user type characteristics and road environment in Irán: A community-based approach. Traffic Inj Prev. 2012;13(1):61-4.
Baker SP, o'Neill B, Haddon Jr W, Long WB. The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care. J Trauma. 1974;14(3):187-96.
Taghipour H, Panahi F, Khoshmohabat H, Hojati Firoozabadi N, Moharamzad Y, Abbasi A. Causes and Severity of Fatal Injuries in Autopsies of Victims of Fatal Traffic Accidents. J Shahid Sadoughi Uni Med Sci. 2010;17(5):358-64. [Persian].
Fakharian E, Taghaddosi M, Masoud SA. Epidemiology of head trauma in Kashan. KAUMS J. 2003;7(1):64-70. [Persian].
Javouhey E, Guerin A-C, Chiron M. Incidence and risk factors of severe traumatic brain injury resulting from road accidents: a population-based study. Accid Anal Prev. 2006;38(2):225-33
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