Using multiple datasets to understand trends in serious road traffic casualties

被引：34
|
作者：
Lyons, Ronan A. [1 ]
Ward, Heather [2 ]
Brunt, Huw [3 ]
Macey, Steven [1 ]
Thoreau, Roselle [2 ]
Bodger, O. G. [1 ]
Woodford, Maralyn [4 ]
机构：
[1] Swansea Univ, Sch Med, Ctr Hlth Informat Res & Evaluat CHIRAL, Swansea SA2 8PP, W Glam, Wales
[2] UCL, Ctr Transport Studies, London WC1E 6BT, England
[3] Natl Publ Hlth Serv Wales, Carmarthen, Dyfed, Wales
[4] Univ Manchester, Salford M6 8HD, Lancs, England
来源：
ACCIDENT ANALYSIS AND PREVENTION | 2008年 / 40卷 / 04期
关键词：
road traffic; injury; trauma; datasets;
D O I：
10.1016/j.aap.2008.03.011
中图分类号：
TB18 [人体工程学];
学科分类号：
1201 ;
摘要：
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. (c) 2008 Elsevier Ltd. All rights reserved.
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页码：1406 / 1410
页数：5
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