The MyJump App is a Valid Method of Assessing and Classifying Limb Symmetry During Recovery from Anterior Cruciate Ligament Reconstruction.
Isaac Whiteley, Vasileios Sideris, Roula Kotsifaki and 2 others
PMID 37795318WHAT IT FOUND
The MyJump app accurately classifies limb symmetry in ACLR patients, matching force plate results for jump height and reactive strength index.
It slightly underestimates values but provides valid pass/fail data for return-to-sport decisions at a low cost.
Key findings
01The app correctly classified limb symmetry using a 90% threshold for over 90% of jump height and reactive strength index measures.
02The app showed a small systematic bias, slightly underestimating both jump height and reactive strength index compared to force plates.
03Changes in jump height exceeding approximately 1cm or reactive strength index exceeding 0.1 are likely real performance improvements rather than measurement error.
STILL TO COME
How it was doneWhat they foundWhat it means for PTs
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What it does not show
The study cohort was almost entirely male (49 of 51 participants), which may limit generalizability to female patients. The app analysis took approximately 12 minutes per participant, which may be impractical in busy clinical settings. The 90% accuracy means about one in ten classifications could be wrong, and the clinical consequences of misclassifying a patient as ready to return to sport are not fully known. The app requires manual selection of take-off and landing frames, introducing potential user error, though the authors defined strict criteria to minimize this.
Declared interests
The authors declare no conflicts of interest.
The easy way to misread this
Do not assume the app's absolute numbers are identical to force plate values. The app systematically underestimates jump height and reactive strength index. Use it for within-patient tracking and symmetry classification, not for comparing raw scores to normative data derived from force plates.