title: Narrative text analysis to identify technologies to prevent motor vehicle crashes: examples from military vehicles.
abstract: BACKGROUND
  The purpose of this research is to describe the leading circumstances of military vehicle crashes to guide prioritization and implementation of crash avoidance and/or warning technologies.
  
  
  METHODS
  A descriptive study using narrative text analysis on 3,944 military vehicle crash narratives. Crash data on drivers, from 2001 to 2006, were assembled from the U.S. Army Combat Readiness/Safety Center. Reviewers collected information on the circumstances of crashes and determined if vehicle technology could have prevented the crash.
  
  
  RESULTS
  Nearly 98% of the crashes were nonfatal; 63% occurred in the U.S. and 24% in Iraq. Among crash events where the direction of the impact was recorded, 32% were to the front of the vehicle and 16% involved a vehicle being rear-ended. Rollovers were mentioned in 20% of the narratives. Technology was determined to have the potential to prevent 26% of the crashes, with the forward collision warning system, rear end collision avoidance, emergency brake assistance, and rollover stability control system likely to have the greatest impacts.
  
  
  CONCLUSIONS
  Some technologies available for civilian vehicles may prevent certain military crash circumstances.
  
  
  CONCLUSIONS
  The results of this research are significant in light of ongoing global military operations that rely on military vehicles. Improving the preventive technology featured on military vehicles may be an effective strategy to reduce the occurrence of military crashes.
authors: Johns Hopkins Bloomberg School of Public Health, Johns Hopkins Center for Injury Research and Policy, Department of Health Policy and Management, 624 N Broadway, Baltimore MD 21205, USA. kpollack@jhsph.edu
authors: Keshia M
authors: KM
authors: Pollack
authors: Nathan
authors: N
authors: Yee
authors: Michelle
authors: M
authors: Canham-Chervak
authors: Lauren
authors: L
authors: Rossen
authors: Kathleen E
authors: KE
authors: Bachynski
authors: Susan P
authors: SP
authors: Baker
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control*; D006801:Humans; D007493:Iraq / Q000453:epidemiology; D008889:Military Personnel / Q000706:statistics & numerical data*; D018986:Motor Vehicles / Q000592:standards / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D012449:Safety; D013672:Technology; D014481:United States / Q000453:epidemiology