Injury Prediction Using Injury Risk Algorithm & Risk Categories
Lehr ME, Plisky PJ, Kiesel KB, Butler RJ, Fink M, Underwood FB. Field Expedient Screening and Injury Risk Algorithm Categories as Predictors of Non-Contact Lower Extremity Injury. Scan J Med Sci Sport. 2013
“Athletes identified as High Risk (n = 63) were at a greater risk of noncontact LE injury (27/63) during the season [RR: 3.4 95% confidence interval 2.0 to 6.0]. These results suggest that an injury prediction algorithm composed of performance on efficient, low-cost, field-ready tests can help identify individuals at elevated risk of noncontact LE injury.”
TAKE HOME: By utilizing efficient, easy to administer (history, Functional Movement Screen, Y Balance Test) athletes at greatest risk of injury can be identifited and injury prevention resources can be allocated to those at greatest risk of injury.