Injury rate and socioeconomic costs resulting from sports injuries in Flanders: data derived from sports insurance statistics 2003.
OBJECTIVE
This study determines the injury rate (%) and the associated direct medical and indirect costs of sports injuries in Flanders.


METHODS
Epidemiological cohort designs and a human capital method were set up to measure respectively the medical direct and indirect cost of sports injuries.


METHODS
72 out of 82 Flemish sports federations participated.


METHODS
Insurance statistics from 2003 were used to determine the overall rate of injury and injury localisations. Using these data, the medical direct cost and the impact sports injuries have on indirect costs were estimated. The indirect costs were determined by multiplying the days of absence from work with the daily cost resulting from a loss of production, being 200 euros.


RESULTS
The total direct medical cost extrapolated for the Flemish sports participants was 15,027,423 euros, which amounted to 0.07% to 0.08% of the total budget spent on healthcare. The indirect cost extrapolated for the Flemish sports participants was 111,420,813 euros, which is about 3.4% of the costs arising from absenteeism from work.


RESULTS
Of the 14 in-depth analysed sports, the rate of injury was highest in European team handball (8.96%; 95% confidence interval (CI) 8.95-8.96) and lowest in swimming (0.62%; 95% CI 0.62-0.62). The highest direct medical cost was found for anterior cruciate ligament (ACL) injuries (1358 euros per injury) and the lowest for foot injuries (52 euros per injury).


CONCLUSIONS
The costs calculated in this study could become critical statistics in medical care debates. Data obtained here will enable a cost-benefit analysis of the impact of preventive measures to be made.
Department of Human Physiology and Sports Medicine, Vrije Universiteit Brussel, Pleinlaan 2 B-1050, Brussels, Belgium.
E
E
Cumps
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E
Verhagen
L
L
Annemans
R
R
Meeusen
D001265:Athletic Injuries / Q000191:economics* / Q000453:epidemiology; D001530:Belgium / Q000453:epidemiology; D015331:Cohort Studies; D017281:Cost of Illness; D017048:Health Care Costs / Q000706:statistics & numerical data*; D006801:Humans; D007342:Insurance Benefits / Q000191:economics* / Q000706:statistics & numerical data; D009426:Netherlands / Q000453:epidemiology; D012959:Socioeconomic Factors