Analysis of Transport and Vehicular Crash Cases Using the Online National Electronic Injury Surveillance System (ONEISS) from 2010 to 2019

Abstract

Introduction. Around 1.35 million people die due to road traffic accidents yearly. In the Philippines, there is an increasing trend of mortality and morbidity caused by road crashes.
 Objective. The objective of the study is to show the epidemiology of transport and vehicular crash (TVC) cases in the Philippines using the Department of Health (DOH) Online National Electronic Injury Surveillance System (ONEISS) from 2010 to 2019.
 Methods. We used data from ONEISS, a web-based system to electronically capture injury-related data from health facilities, store data in a centralized and secure location, process and consolidate data, and transform this data into meaningful information. For Transport and Vehicular Crash cases, risk factors such as drug use, alcohol use, mobile phone use, seatbelt, and helmet use are included. There are also data on vehicle type, place of crash, and activity. Descriptive and inferential statistics were computed to explore and analyze the ONEISS dataset, particularly the epidemiology of transport and vehicular crashes (TVC).
 Results. There were a total of 296,760/894,989 (31%) patients admitted due to transport and vehicular crash (TVC) based on the 10-year data from ONEISS (2010–2019). There was an increasing trend in the number of transport/ vehicular crashes (TVC) during this period, with an average increase of 25.58% cases per year. Most victims were drivers (45.6%), males (72.5%), and from the younger age group (0-30 years old). Fatal crashes were observed to occur from 6:00 pm to 5:00 am while most accidents occurred during leisure activities (32.5%). The highest reported contributing factor was drunk driving (n = 25,537). There was observed low compliance on the use of vehicular safety equipment. The most common types of injuries for the TVC victims were abrasions, contusions, burns, and concussions while the vehicle most involved in TVC was the motorcycle. Motorcycle use was found to be associated with worse emergency room (ER) outcomes (p <.0001) and the highest injury types such as multiple injuries, abrasion, avulsion and burn. Alcohol use was also significantly associated with multiple injuries, abrasion, avulsion, burn, open fracture, open wound, and amputation (p < 0.05).
 Conclusion. The trend of road traffic vehicular crashes affecting mainly the younger population has economic repercussions. Motorcycles are also most involved in crashes, hence, the need for motorcycle safety laws in the country. There is also a need to strengthen current laws and legislation governing road safety and to focus on structuring a systematic post-crash response for both the local government and hospitals throughout the Philippines.

Classifying Motorcycle Rider Helmet on a Low Light Video Scene using Deep Learning

“…Wearing motorcycle helmets is essential for the safety of riders especially in the Philippines, where over 1,000 motorcycle-related road crashes occurred in 2019 [1][2]. Research from the World Health Organization reveals helmets can reduce motorcycle crash death risk by up to 40% [3].…”