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  1. Bechtel, Kaitlin E. BS, RN
  2. Sharrah, Mark L. MS
  3. Hood, Jessica M. MS, RN, AGCNS-BC
  4. Carney, Daniel E. MD, PhD


Background: Motor vehicle (MVCs) and motorcycle crashes (MCCs) continue to be among the most prevalent mechanisms of trauma injury and mortality. We sought to identify specific populations and factors associated with MVCs and MCCs for local injury prevention efforts. A novel, yet easily performed, research method was utilized-a qualitative content analysis of text narratives describing each patient's cause of injury.


Objective: To determine target populations for local MVC and MCC injury prevention.


Methods: A retrospective descriptive analysis was performed using registry data from a Level I trauma center. The registry was queried for all trauma patients presenting with MVC or MCC injuries between June 8, 2014, and June 7, 2019. Cases were then reviewed via their respective text narratives of injury causation. Common themes were identified, coded by independent raters, and assessed for interrater reliability using Cohen's [kappa]. Frequencies and proportions are reported for each preventable factor and patient characteristic.


Results: There were a total of 2,861 cases studied, of which 2,330 (81.4%) were MVC and 531 (18.6%) were MCC. Demographics varied by mechanism of injury. Driver drug or alcohol use was involved in 97 (3.4%), protective devices were not used in 776 (27.1%), distracted driving was involved in 30 (1%), excessive speeding was involved in 152 (5.3%), and driver sleeping/syncope/medical condition was present in 113 (3.9%) cases.


Conclusions: Content analysis of cause of injury text narratives can detect target populations and preventable factors to direct injury prevention efforts specific to the local population.