Using multiple datasets to understand trends in serious road traffic casualties

Accid Anal Prev. 2008 Jul;40(4):1406-10. doi: 10.1016/j.aap.2008.03.011. Epub 2008 Apr 15.


Accurate information on the incidence of serious road traffic casualties is needed to plan and evaluate prevention strategies. Traditionally police reported collisions are the only data used. This study investigate the extent to which understanding of trends in serious road traffic injuries is aided by the use of multiple datasets. Health and police datasets covering all or part of Great Britain from 1996-2003 were analysed. There was a significantly decreasing trend in police reported serious casualties but not in the other datasets. Multiple data sources provide a more complete picture of road traffic casualty trends than any single dataset. Increasing availability of electronic health data with developments in anonymised data linkage should provide a better platform for monitoring trends in serious road traffic casualties.

MeSH terms

  • Accidents, Traffic / mortality
  • Accidents, Traffic / statistics & numerical data*
  • Accidents, Traffic / trends*
  • Databases, Factual*
  • Humans
  • Law Enforcement
  • Linear Models
  • Motor Vehicles / statistics & numerical data
  • Patient Admission / statistics & numerical data
  • Reproducibility of Results
  • United Kingdom / epidemiology
  • Wounds and Injuries / epidemiology*