A Web System Based on a Sports Injuries Model towards Global Athletes Monitoring

  • Patrícia Macedo
  • Rui Neves Madeira
  • André Correia
  • Marco Jardim
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 276)


This paper presents the project iReport SportsInjuries, which is a system with a focus on a Web application directed to sport health professionals, supporting the acquisition, analysis and dissemination of sports injuries information. This software will allow health professionals register and analyze sports injuries among sports populations. The application provides a reporting module that includes tables and charts to individually analyze injuries of a specific sports organization, a specific sport across organizations or a specific athlete, independently of where s/he practices. The system also offers a module for a global analysis, which allows the iReport SportsInjuries to obtain the incidence and prevalence values, besides the socioeconomics costs, regarding sports injuries at a national level. In order to offer these features, it is based on a global sports injuries model with the goal of standardizing data related to the sports injuries subject.


Health Informatics Sports Injuries Model Injuries Incidence and Prevalence Socioeconomic Impact Web Systems Health Systems 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Beijsterveldt, A.M.C., Krist, M.R., et al.: Effectiveness and cost-effectiveness of an injury prevention programme for adult male amateur soccer players: design of a cluster-randomised controlled trial. Injury Prevention 17 (2011)Google Scholar
  2. 2.
    Cumps, E., Verhagen, E., et al.: Injury rate and socioeconomic costs resulting from sports injuries in Flanders: data derived from sports insurance statistics 2003. British Journal of Sports Medicine 42, 767–772 (2008)CrossRefGoogle Scholar
  3. 3.
    Timpka, T., Lindqvist, K., et al.: Impact of social standing on sports injury prevention in a WHO safe community: intervention outcome by household employment contract and type of sport. British Journal of Sports Medicine 39, 453–457 (2005)CrossRefGoogle Scholar
  4. 4.
    Kisser, R., Bauer, R.: The burden of sports injuries in the European Union. Research report D2h of the project Safety in Sports, Vienna, Austrian Road Safety Board (2012)Google Scholar
  5. 5.
    Finch, C.F., Ozanne-Smith, J., Williams, F.: The feasibility of improved data collection methodologies for sports injuries. Monash University Accident Research Centre (1995)Google Scholar
  6. 6.
    Meeuwisse, W.H., Love, E.J.: Athletic injury reporting. Sports Medicine 24, 184–204 (1997)CrossRefGoogle Scholar
  7. 7.
    Zemper, D.: Epidemiology of Athletic Injuries.: ACSM’s primary care sports medicine. Wolters Kluwer Health (2007)Google Scholar
  8. 8.
    Junge, A., Engebretsen, L., Alonso, J.M., Renström, P., Mountjoy, M., Aubry, M., Dvorak, J.: Injury surveillance in multi-sport events: the International Olympic Committee approach. British Journal of Sports Medicine 42, 413–421 (2008)CrossRefGoogle Scholar
  9. 9.
    Emery, C.A., Meeuwisse, W.H., Hartmann, S.E.: Evaluation of risk factors for injury in adolescent soccer implementation and validation of an injury surveillance system. The American Journal of Sports Medicine 33, 1882–1891 (2005)CrossRefGoogle Scholar
  10. 10.
    Klossner, D., Corlette, J., Agel, J., Marshall, S.W.: Data driven decision making in practice: The NCAA injury surveillance system. New Directions for Institutional Research 2009, 53–63 (2009)CrossRefGoogle Scholar
  11. 11.
    Fuller, C.W., Laborde, et al.: International rugby board rugby world cup 2007 injury surveillance study. British Journal of Sports Medicine 42, 452–459 (2008)CrossRefGoogle Scholar
  12. 12.
    Mechelen, W.V.: Sports injury surveillance systems. Sports Medicine 24, 164–168 (1997)CrossRefGoogle Scholar
  13. 13.
    Darrow, C.J., Collins, C.L., Yard, E.E., Comstock, R.D.: Epidemiology of severe injuries among United States high school athletes 2005-2007. The American Journal of Sports Medicine 37, 1798–1805 (2009)CrossRefGoogle Scholar
  14. 14.
    Hinton, R.Y., et al.: Epidemiology of Lacrosse Injuries in High Schoolar Aged Girls and Boys A 3-Year Prospective Study. The American Journal of Sports Medicine 33, 1305–1314 (2005)CrossRefGoogle Scholar
  15. 15.
    Lehr, M.E.: Plisky, et al.: Field expedient screening and injury risk algorithm categories as predictors of noncontact lower extremity injury. Scandinavian Journal of Medicine & Science in Sports (2013)Google Scholar
  16. 16.
    Solomon, D.J., et al.: 2 Team Physicians Corner (2012)Google Scholar
  17. 17.
    Thygerson, A.L., Thygerson, S.M., Thygerson, J.S.: Injury Prevention: Competencies for Unintentional Injury Prevention Professionals. Jones & Bartlett Publishers (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Patrícia Macedo
    • 1
  • Rui Neves Madeira
    • 1
    • 3
  • André Correia
    • 1
  • Marco Jardim
    • 2
  1. 1.Escola Superior de Tecnologia de SetúbalInstituto Politécnico de SetúbalSetúbalPortugal
  2. 2.Escola Superior de SaúdeInstituto Politécnico de SetúbalSetúbalPortugal
  3. 3.CITIFaculdade de Ciências e Tecnologia da Universidade Nova de LisboaMonte da CaparicaPortugal

Personalised recommendations