Document Type
Journal Article
Publication Title
Injury Epidemiology
ISSN
2197-1714
Volume
6
PubMed ID
31245258
Publisher
BioMed Central
School
School of Medical and Health Sciences
RAS ID
28829
Funders
Australian Centre for Research into Injury in Sport and its Prevention (ACRISP)
Australian Government Research Training Program Scholarship
National Health and Medical Research Council
Grant Number
NHMRC Number : 1058493
Abstract
Background: The original subsequent injury categorisation (SIC-1.0) model aimed to classify relationships between chronological injury sequences to provide insight into the complexity and causation of subsequent injury occurrence. An updated model has recently been published. Comparison of the data coded according to the original and revised subsequent injury categorisation (SIC-1.0 and SIC-2.0) models has yet been formally compared.
Methods: Medical attention injury data was prospectively collected for 42 elite water polo players over an 8 month surveillance period. The SIC-1.0 and SIC-2.0 models were retrospectively applied to the injury data. The injury categorisation from the two models was compared using descriptive statistics.
Results: Seventy-four injuries were sustained by the 42 players (median = 2, range = 0-5), of which 32 injuries (43.2%) occurred subsequent to a previous injury. The majority of subsequent injuries were coded as occurring at a different site and being of a different nature, while also being considered clinically unrelated to the previous injury (SIC-1.0 category 10 = 57.9%; SIC-2.0 clinical category 16 = 54.4%). Application of the SIC-2.0 model resulted in a greater distribution of category allocation compared to the SIC-1.0 model that reflects a greater precision in the SIC-2.0 model.
Conclusions: Subsequent injury categorisation of sport injury data can be undertaken using either the original (SIC-1.0) or the revised (SIC-2.0) model to obtain similar results. However, the SIC-2.0 model offers the ability to identify a larger number of mutually exclusive categories, while not relying on clinical adjudication for category allocation. The increased precision of SIC-2.0 is advantageous for clinical application and consideration of injury relationships.
DOI
10.1186/s40621-019-0183-1
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Toohey, L. A., Drew, M. K., Fortington, L. V., Menaspa, M. J., Finch, C. F., & Cook, J. L. (2019). Comparison of subsequent injury categorisation (SIC) models and their application in a sporting population. Injury Epidemiology, 6(1), Article 9. Available here