School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Health Data Research UK, Swansea University Medical School, Swansea University, Swansea, UK.
Emerg Med Australas. 2019 Oct;31(5):851-855. doi: 10.1111/1742-6723.13361. Epub 2019 Jul 30.
Non-fatal injuries sustained from animal-vehicle collisions are a globally under-recognised road safety issue, with limited data on these crash types. The present study aimed to quantify the number and causes of major trauma events resulting from animal-vehicle collisions.
The study was a retrospective analysis of major trauma cases occurring in Victoria, Australia, between 2007 and 2016, using data from the population-based Victorian State Trauma Registry. To identify animal-vehicle collisions, Victorian State Trauma Registry injury codes were combined with text-mining of the text description of the injury event.
Over the 10 year period, there were 152 major trauma patients who were admitted to Victorian trauma-receiving hospitals due to vehicle collisions with animals. The crude population-based incidence rate for animal-vehicle collisions increased by 6.7% per year (incidence rate ratio 1.07; 95% confidence interval 1.01-1.13; P = 0.02).
Development of systematic recording methods of animal-vehicle collisions will improve reporting of these crash types to assist future studies in implementing effective countermeasures.
动物-车辆碰撞造成的非致命性伤害是一个在全球范围内未得到充分认识的道路安全问题,关于这些碰撞类型的数据有限。本研究旨在定量分析因动物-车辆碰撞而导致的重大创伤事件的数量和原因。
本研究是对 2007 年至 2016 年期间在澳大利亚维多利亚州发生的重大创伤病例进行的回顾性分析,使用基于人群的维多利亚州创伤登记处的数据。为了识别动物-车辆碰撞,维多利亚州创伤登记处的伤害代码与伤害事件文本描述的文本挖掘相结合。
在 10 年期间,有 152 名因与动物发生车辆碰撞而入住维多利亚创伤接收医院的重大创伤患者。动物-车辆碰撞的粗人群基础发生率每年增加 6.7%(发病率比 1.07;95%置信区间 1.01-1.13;P = 0.02)。
开发动物-车辆碰撞的系统记录方法将有助于提高这些碰撞类型的报告,以协助未来的研究实施有效的对策。