Translating road safety into health outcomes using a quantitative impact assessment model.
BACKGROUND
The majority of traffic safety policies are limited to preventing mortality. However, non-fatal injuries also impose a significant risk of adverse health. Therefore, both mortality and morbidity outcomes should be included in the evaluation of traffic safety policies. The authors propose a method to evaluate different policy options taking into account both fatalities and serious injuries.


METHODS
A health impact model was developed and aligned with a transport and road safety model, calculating the health impact of fatalities and seriously injured traffic victims for two transport scenarios in Flanders and Brussels (Belgium): a base scenario and a fuel price increase of 20% as an alternative. Victim counts were expressed as disability adjusted life years, using a combination of police and medical data. Seriously injured victims were assigned an injury, using injury distributions derived from hospital data, to estimate the resulting health impact from each crash. Health impact of fatalities was taken as the remaining life expectancy at the moment of the fatal crash.


RESULTS
The fuel price scenario resulted in a decrease of health impact due to fatalities of 5.53%--5.85% and 3.37%--3.88% for severe injuries. This decrease was however not equal among all road users.


CONCLUSIONS
With this method, the impact of traffic polices can be evaluated on both mortality and morbidity, while taking into account the variability of different injuries following a road crash. This model however still underestimates the impact due to non-fatal injuries.
Department of Medical Sociology and Health Sciences, Vrije Universiteit Brussel, Brussels, Belgium. stijn.dhondt@vub.ac.be
Stijn
S
Dhondt
Ali
A
Pirdavani
Cathy
C
Macharis
Tom
T
Bellemans
Koen
K
Putman
D000063:Accidents, Traffic / Q000517:prevention & control* / Q000706:statistics & numerical data; D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D001530:Belgium; D006291:Health Policy; D006801:Humans; D008017:Life Expectancy; D008875:Middle Aged; D009026:Mortality; D019057:Quality-Adjusted Life Years; D012307:Risk Factors; D012449:Safety / Q000592:standards* / Q000706:statistics & numerical data; D014947:Wounds and Injuries / Q000453:epidemiology / Q000517:prevention & control*; D055815:Young Adult