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Over half of the 1.2 million annual traffic fatalities worldwide are pedestrians struck by motor vehicles [ 1 ]. Medical databases, such as the National Inpatient Sample (NIS), have been utilized to ascertain injury patterns in the general population of injured pedestrians [ 2 - 3 ]. However, the authors are not aware of any studies investigating how factors, such as physical impairments, intoxication, and pre-existing medical implants (e.g. hip replacement, artificial knee, etc.) affect the prevalence of pedestrian accidents or injury outcomes. Five to eight million inpatient hospitalization records are included in the NIS annually, and this large sample size allows for analyses that are not possible with smaller data sets on pedestrian injuries. The current study utilizes the NIS to evaluate how several factors such as blindness, deafness, intoxication, and pre-existing medical implants affect injury patterns when compared to the general population of hospitalized pedestrians.

Review of field accident data is an important tool in understanding injuries in motor vehicle crashes (MVCs). Multiple databases are available that contain information about traffic-related traumatic injuries, many of which are not commonly used in traffic injury research. This work discusses some databases commonly used to evaluate field accident data and introduces additional databases (primarily hospital, medical, and trauma) that include traffic-related injuries. These data represent a new source of information about MVC traumas and often contain additional health information. The strengths and limitations of each database for evaluating vehicular injuries are compared and discussed.