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BioMed Research International
Volume 2014 (2014), Article ID 237486, 13 pages
http://dx.doi.org/10.1155/2014/237486
Research Article

Epidemiology of Injuries in Belgium: Contribution of Hospital Data for Surveillance

1Research Center of Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles, Route de Lennik 808, CP 598, 1070 Brussels, Belgium
2Research Center of Health Economics, Hospital's Management and Nursing, School of Public Health, Université Libre de Bruxelles, Route de Lennik 808, CP 592, 1070 Brussels, Belgium

Received 13 February 2014; Accepted 4 April 2014; Published 28 April 2014

Academic Editor: Claudia Slimings

Copyright © 2014 Christelle Senterre et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objectives. Investigating injuries in terms of occurrences and patient and hospital stay characteristics. Methods. 17370 stays, with at least one E code, were investigated based on data from 13 Belgian hospitals. Pearson’s chi-square and Kruskal-Wallis tests were used to assess the variations between distributions of the investigated factors according to the injury’s types. Results. Major injuries were accidental falls, transport injuries, and self-inflicted injuries. There were more men in the transport injuries group and the accidental falls group was older. For the transport injuries, there were more arrivals with the support of a mobile intensive care unit and/or a paramedic intervention team and a general practitioner was more implicated for the accidental falls. In three-quarters of cases, it was a primary diagnostic related to injury and poisoning which was made. The median length of stay was nearly equal to one week and for accidental falls, this value is three times higher. The median cost, from the social security point of view, for all injuries was equal to €1377 and there was a higher median cost within the falls group. Conclusion. This study based on hospitals data provides important information both on factors associated with and on hospital costs generated by injuries.