Traffic injury prevention
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Traffic injury prevention · Jan 2015
Epidemiology of Road Traffic Injuries Treated in a Large Romanian Emergency Department in Tîrgu-Mureş Between 2009 and 2010.
Road traffic injuries are one of the leading causes of preventable unintentional injury. The European Injury Database estimated that in European Union (EU)-27 countries, road traffic injuries account for 10% of all injuries treated in the emergency department or admitted to the hospital, accounting for 4.2 million victims each year. We examined the characteristics and outcomes of road traffic injuries treated in a large emergency department in Romania by different types of road users. ⋯ Understanding the extent, nature, and characteristics of road traffic injuries may help to identify vulnerable road users in specific settings and implement the most effective prevention strategies targeting the most affected populations.
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Traffic injury prevention · Jan 2015
Occurrence of serious injury in real-world side impacts of vehicles with good side-impact protection ratings.
The Insurance Institute for Highway Safety (IIHS) introduced its side impact consumer information test program in 2003. Since that time, side airbags and structural improvements have been implemented across the fleet and the proportion of good ratings has increased to 93% of 2012-2014 model year vehicles. Research has shown that drivers of good-rated vehicles are 70% less likely to die in a left-side crash than drivers of poor-rated vehicles. Despite these improvements, side impact fatalities accounted for about one quarter of passenger vehicle occupant fatalities in 2012. This study is a detailed analysis of real-world cases with serious injury resulting from side crashes of vehicles with good ratings in the IIHS side impact test. ⋯ Individual changes to the IIHS side impact test have the potential to reduce the number of serious injuries in real-world crashes. These include impacting the vehicle farther forward (relevant to 28% of all cases studied), greater test severity (17%), the inclusion of far-side occupants (9%), and more restrictive injury criteria (9%). Combinations of these changes could be more effective.
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Traffic injury prevention · Jan 2015
Get a license, buckle up, and slow down: risky driving patterns among saudis.
Road traffic injuries are the largest cause of loss of disability-adjusted life years for men and women of all ages in the Kingdom of Saudi Arabia, but data on driving habits there are lacking. To inform policymakers on drivers' abilities and driving habits, we analyzed data from the Saudi Health Interview Survey 2013. ⋯ The high burden of road traffic injuries in the Kingdom is not surprising given our findings. Our study calls for aggressive monitoring and enforcement of traffic laws. Awareness and proper education for drivers and their families should be developed jointly by the Ministries of Health, Interior Affairs, and Education and provided through their channels.
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Traffic injury prevention · Jan 2015
The road traffic crashes as a neglected public health concern; an observational study from Iranian population.
Traffic crashes are multifactorial events caused by human factors, technical issues, and environmental conditions. The present study aimed to determine the role of human factors in traffic crashes in Iran using the proportional odds regression model. ⋯ Public health strategies and preventive policies should be focused on more common human risk factors such as disregarding traffic rules and regulations, drivers' rushing, and alcohol consumption due to their greater population attributable fraction and more intuitive impacts on society.
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Traffic injury prevention · Jan 2015
On-Scene Injury Severity Prediction (OSISP) Algorithm for Truck Occupants.
The aim of this study is to develop an on-scene injury severity prediction (OSISP) algorithm for truck occupants using only accident characteristics that are feasible to assess at the scene of the accident. The purpose of developing this algorithm is to use it as a basis for a field triage tool used in traffic accidents involving trucks. In addition, the model can be valuable for recognizing important factors for improving triage protocols used in Sweden and possibly in other countries with similar traffic environments and prehospital procedures. ⋯ The OSISP models achieve good discriminating capability for light truck occupants and a reasonable performance for heavy truck occupants. The prediction accuracy may be increased by acquiring more data. Belt use was the strongest predictor of severe injury for both light and heavy truck occupants. There is a need for behavior-based safety programs and/or other means to encourage truck occupants to always wear a seat belt.