Using multiple datasets to understand trends in serious road traffic casualties.
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.
Lyons
Ronan A
RA
Centre for Health Information, Research and Evaluation (CHIRAL), School of Medicine, Swansea University, Singleton Park, Swansea, United Kingdom. r.a.lyons@swansea.ac.uk
Ward
Heather
H
Brunt
Huw
H
Macey
Steven
S
Thoreau
Roselle
R
Bodger
O G
OG
Woodford
Maralyn
M
D000063:Accidents, Traffic / Q000401:mortality / Q000706:statistics & numerical data* / Q000639:trends*; D016208:Databases, Factual; D006801:Humans; D035846:Law Enforcement; D016014:Linear Models; D018986:Motor Vehicles / Q000706:statistics & numerical data; D010343:Patient Admission / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D006113:United Kingdom / Q000453:epidemiology; D014947:Wounds and Injuries / Q000453:epidemiology*