Analytical observational study of nonfatal motor vehicle collisions and incidents in a light-vehicle sales and service fleet.

Motor vehicle crashes (MVCs) are a significant cause of lost-workday injuries, and consistently the leading cause of work-related fatalities in the United States for all industries combined. Prevention research has focused mainly on collisions fatal to the drivers of large trucks. This analytical observational study addresses gaps in the literature by: conducting a descriptive analysis of motor vehicle claim events involving light-vehicle drivers in a large health care industry fleet; identifying risk factors for work-related MVCs and injuries based on vehicle miles traveled; and providing details on circumstances of these events. The study examined 8068 motor vehicle events resulting in vehicle damage, property damage, or injury reported by 6680 U.S.-based drivers in a light-vehicle sales and service fleet operated by a health care company over a 4 ½-year period (January 2010 through June 2014). Thirty-three percent (n = 2660) of the events were collisions. Collisions were segmented as recoverable or non-recoverable according to whether the company could recover costs from another party, and mileage-based collision and injury rates were calculated by gender, age, tenure, and vehicle type. Differences in collision and injury rates between groups of interest (for example, tenure and age categories) were assessed with Poisson regression techniques adjusted using generalized estimating equations (GEE) for repeated observations on the same employee over time. Age, gender, and job tenure were significant collision risk factors, and risk patterns for recoverable and non-recoverable collisions were similar to those for total collisions. Collisions per million miles (CPMM) were significantly higher for drivers 21-24.9 years of age compared to drivers age 25-54.9 years (9.58 CPMM vs 4.96 CPMM, p = .025), drivers employed for less than 2 years compared to those employed 2 or more years (6.22 CPMM vs 4.82 CPMM, p < .001), for female drivers compared to male drivers (6.37 CPMM vs 4.16 CPMM, p < .001), and for drivers of passenger cars compared to all other vehicles (5.27 CPMM vs 4.48 CPMM, p < .001). Among collisions between the employee's vehicle and another vehicle in transport, those where the front of one vehicle hit another vehicle at an angle were the most likely to result in injury to the employee driver or another party (26%), followed by rear-end collisions (25%). Special attention should be given to preventing collisions among newly-hired employees, and to preventing angle and rear-end collisions, which were the most common types of collisions and also were most likely to result in injury than all other collisions combined.