Effective Factors in Severity of Traffic Accident-Related Traumas; an Epidemiologic Study Based on the Haddon Matrix
نویسندگان
چکیده
INTRODUCTION Traffic accidents are the 8(th) cause of mortality in different countries and are expected to rise to the 3(rd) 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.
منابع مشابه
Modifying PIARC’s Linear Model of Accident Severity Index to Identify Roads' Accident Prone Spots to Rehabilitate Pavements Considering Nonlinear Effects of the Traffic Volume
Pavement rehabilitation could affect the accident severity index (ASI) since restoration measures means more safety for road users. No research or project has been carried out to identify hazard points to build a linear model based on crash severity index. One of the very popular accident severity index models used in all countries is based on linear models to rehabilitate pavements and this pa...
متن کاملEpidemiologic Study of Post-Traumatic Stress Disorder (PTSD) among Traffic Accident Victims in Tehran
Background and Objectives: Road accidents are a major public health problem and one of the leading causes of death in the world. Some survivors of traffic accidents experience acute stress disorder and post-traumatic stress disorder during weeks to months following the accident. These disorders can have disastrous effects on victims and their inability to return to normal living conditions. ...
متن کاملروش ترکیبی برای ارزیابی مخاطرات شغلی در پروژه های راهسازی
Introduction: Safety at workplaces is an important issue, and lack of effective and efficient safety management methods based on scientific studies could cost the construction industry. An effective accident investigation and root causes analysis could prevent the occurrence of incidents at minimum cost and time. Material and Method: First, major accidents in road construction projects were id...
متن کاملFactors related to pedestrians mortality following road traffic accidents in Tehran and Alborz Provinces, Iran
Background and aims: This study aimed to investigate the deaths and injuries following pedestrian traffic accidents and factors associated with death of pedestrian in Tehran and Alborz provinces. Methods: In this cross-sectional study all traffic accidents related to pedestrians in Tehran and Alborz provinces reported from March 21, 2013 to March 21, 2014...
متن کاملAn ANP-based Model for Location of Fixed Speed Cameras
Speeding is a major cause of traffic accidents and is estimated to be the cause of about 40% of fatalities in road accidents. Speed is a major accident risk factor and affects both rate and severity of traffic accidents. This importance has led to universal use of intelligent control systems for maintaining road safety by enforcing speed regulations. In this study, a modeling is carried out by ...
متن کامل