A Method for Linking Motor Vehicle Victim and Collision Data Collected by Multiple County Agencies

This retrospective cohort study evaluated motor vehicle crashes in Orange County Florida in 2009 that became medical examiner cases. Data from the Department of Highway Safety and Motor Vehicles (DHSMV), emergency medical services (EMS), a level I trauma center, and the medical examiner were integrated for the analysis. The primary outcome measure was early death, defined by death within 48 hours of a motor vehicle trauma. Both traditional and nontraditional predictors of early mortality were assessed. The most significant factors associated with early mortality were as follows: (1) From autopsy: hemothorax (odds ratio [OR] = 8.26, 95% confidence interval [CI]: 1.83–37.3) and liver injury (OR = 4.26, 95% CI: 1.70–15.6); (2) from hospital data: systolic blood pressure (OR = 0.98, 95% CI: 0.96–0.99) and having cardiopulmonary resuscitation (CPR) performed in the emergency department (OR = 13.4, 95% CI: 1.51–118.72); and (3) from DHSMV: involvement of drugs and/or alcohol (OR = 4.27, 95% CI: 1.33–13.6), total fatalities (OR = 6.07, 95% CI: 1.57–23.5), speed of vehicle (OR = 1.06, 95% CI: 1.02–1.09), and number of lanes at the crash scene (OR = 1.58, 95% CI: 1.13–2.20). These results were made possible by integrating 4 distinct data sources. As future research in traffic-related injury moves toward prevention, it will be critical to evaluate new preventative strategies quickly and effectively. A unique number that is both patient and event specific that could be incorporated into each of these databases would make such integration seamless. Successful methods for linking data collected by the multiple agencies involved in motor vehicle collisions will ultimately provide invaluable information for medical personnel, researchers, engineers, planners, and policy makers at the local, state, and national levels to identify safety priorities to reduce crash-related injuries and fatalities.

• Record URL:
  • https://doi.org/10.1080/15389588.2013.794942
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/49192340
• Supplemental Notes:
  • Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Papa, Linda
  • Mendes, Matthew E
  • Benton, Tom
  • Issa, R Raymond
  • Schmalz, Mark S
  • Bugnacki, Kristine
  • Garavaglia, Jan C
• Publication Date: 2014-1

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 18-24
• Serial:
  • Traffic Injury Prevention
  • Volume: 15
  • Issue Number: 1
  • Publisher: Taylor & Francis
  • ISSN: 1538-9588
  • Serial URL: http://www.tandf.co.uk/journals/titles/15389588.html

Subject/Index Terms

• TRT Terms: Crash characteristics; Crash data; Crash injuries; Data collection; Drunk driving; Fatalities; Injury severity; Policy making; Speed
• Geographic Terms: Orange County (Florida)
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I81: Accident Statistics; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01527109
• Record Type: Publication
• Files: TRIS
• Created Date: May 30 2014 11:13AM