Sports medicine professionals cannot predict ACL injury risk in elite female players: A ROC analysis of visual assessment of the vertical drop jump test
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Background: The vertical drop jump (VDJ) test has been suggested as a screening tool for assessing anterior cruciate ligament (ACL) injury risk. Except from one smaller cohort study, no study has so far reported that individuals or computerized methods can identify high-risk players based on the VDJ test when ACL injury is used as the outcome. Objectives: To examine if sports and sports medicine professionals have the ability to identify players at increased risk of sustaining an ACL injury by assessing the players’ performance of a vertical drop jump (VDJ) test. Methods: One hundred and ten video clips of elite female handball and football players performing the VDJ test were uploaded in an online survey. Sports and sports medicine professionals were invited to assess their performance and rate each clip with a number between 1 and 10 (1 representing low risk of sustaining an ACL injury and 10 representing high risk). Receiver operating characteristic (ROC) analysis was used to assess classification accuracy level for each assessor and between-group differences were analysed using One-way ANOVA. Results: Two hundred and thirty seven participants completed the survey. Area under the curve (AUC) values ranged from 0.37 to 0.61, with a mean score of 0.48. There were no significant differences between groups (e.g. physicians, coaches, certified athletic trainers, researchers or physical therapists). Conclusion: AUC values revealed assessors have poor predictive ability, indicating that visual assessment of the VDJ test is a poor test for assessing ACL injury risk in elite female handball and football players.
Masteroppgave - Norges idrettshøgskole, 2017