Estimating fatality rates in occupational light vehicle users using vehicle registration and crash data
Article first published online: 8 APR 2010
© 2010 The Authors. Journal Compilation © 2010 Public Health Association of Australia
Australian and New Zealand Journal of Public Health
Volume 34, Issue 2, pages 142–145, April 2010
How to Cite
Stuckey, R., LaMontagne, A. D., Glass, D. C. and Sim, M. R. (2010), Estimating fatality rates in occupational light vehicle users using vehicle registration and crash data. Australian and New Zealand Journal of Public Health, 34: 142–145. doi: 10.1111/j.1753-6405.2010.00498.x
- Issue published online: 8 APR 2010
- Article first published online: 8 APR 2010
- Submitted: May 2009 Revision requested: August 2009 Accepted: December 2009
- light vehicles;
- occupational driving;
- work fatalities;
- non-traditional work arrangements
Objective: To estimate occupational light vehicle (OLV) fatality numbers using vehicle registration and crash data and compare these with previous estimates based on workers' compensation data.
Method: New South Wales (NSW) Roads and Traffic Authority (RTA) vehicle registration and crash data were obtained for 2004. NSW is the only Australian jurisdiction with mandatory work-use registration, which was used as a proxy for work-relatedness. OLV fatality rates based on registration data as the denominator were calculated and comparisons made with published 2003/04 fatalities based on workers' compensation data.
Results: Thirty-four NSW RTA OLV-user fatalities were identified, a rate of 4.5 deaths per 100,000 organisationally registered OLV, whereas the Australian Safety and Compensation Council (ASCC), reported 28 OLV deaths Australia-wide.
Conclusions: More OLV user fatalities were identified from vehicle registration-based data than those based on workers' compensation estimates and the data are likely to provide an improved estimate of fatalities specific to OLV use.
Implications: OLV-use is an important cause of traumatic fatalities that would be better identified through the use of vehicle-registration data, which provides a stronger evidence base from which to develop policy responses.