British Journal of Sports Medicine 2008;42:767-772
ORIGINAL ARTICLES
Injury rate and socioeconomic costs resulting from sports injuries in Flanders: data derived from sports insurance statistics 2003
1 Department of Human Physiology and Sports Medicine, Vrije Universiteit Brussel, Brussels, Belgium
2 Policy Research Center Sports, Physical Activity and Health, Leuven, Belgium
3 VU University Medical Centre, EMGO Institute, Amsterdam, The Netherlands
4 Department of Public Health, Faculty of Medicine, University of Gent, Gent, Belgium
Romain Meeusen, Department of Human Physiology and Sports Medicine, Vrije Universiteit Brussel, Pleinlaan 2 B-1050, Brussels, Belgium; rmeeusen{at}vub.ac.be
Objective: This study determines the injury rate (%) and the associated direct medical and indirect costs of sports injuries in Flanders.
Setting: Epidemiological cohort designs and a human capital method were set up to measure respectively the medical direct and indirect cost of sports injuries.
Participants: 72 out of 82 Flemish sports federations participated.
Intervention: 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.
Main outcome: The total direct medical cost extrapolated for the Flemish sports participants was
15 027 423, 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, 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 per injury) and the lowest for foot injuries (
52 per injury).
Conclusion: 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.
This article has been cited by other articles:
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Frisch, A., Croisier, J.-L., Urhausen, A., Seil, R., Theisen, D.
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[Abstract] [Full Text]
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