J Knee Surg
DOI: 10.1055/a-2388-0812
Original Article

Development and Validation of a Mobile Phone Application for Measuring Knee Range of Motion

1   Orthopaedic Surgery, UPMC, Pittsburgh, United States (Ringgold ID: RIN6595)
,
Logan E Finger
2   Orthopedic Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, United States (Ringgold ID: RIN6595)
,
Christina Letter
3   Health Information Management, University of Pittsburgh, Pittsburgh, United States (Ringgold ID: RIN6614)
,
Soheyla Amirian
4   Institute for Artificial Intelligence, University of Georgia, Athens, United States (Ringgold ID: RIN1355)
,
Bambang Parmanto
5   School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, United States (Ringgold ID: RIN6614)
,
Michael OMalley
6   Orthopaedic Surgery, University of Pittsburgh Medical Center, Pittsburgh, United States (Ringgold ID: RIN6595)
,
Brian A Klatt
2   Orthopedic Surgery, University of Pittsburgh Medical Center Health System, Pittsburgh, United States (Ringgold ID: RIN6595)
,
Ahmad P Tafti
3   Health Information Management, University of Pittsburgh, Pittsburgh, United States (Ringgold ID: RIN6614)
,
Johannes F Plate
7   Orthopaedic Surgery, University of Pittsburgh, Pittsburgh, United States (Ringgold ID: RIN6614)
› Author Affiliations

Background: Knee range of motion (ROM) is an important indicator of knee function. Outside the clinical setting, patients may not be able to accurately assess knee ROM, which may impair recovery following trauma or surgery. This study aims to validate a smartphone mobile application developed to measure knee ROM compared to visual and goniometer ROM measurements. Methods: A knee ROM Android mobile application was developed to measure knee ROM. Patients ≥ 18 years old presenting to an orthopedic clinic with native knee complaints were approached to participate. Knee ROM was measured bilaterally by an arthroplasty-trained surgeon using 1) vision, 2) goniometer, and 3) the mobile application. Measurements were compared in flexion and extension using a one-way ANOVA with post-hoc Tukey test (alpha = 0.05). Results: 84 knee ROM measurements (40 left, 44 right) were obtained in 47 patients. Median Kellgren-Lawrence grade from available radiographs was grade 3. In flexion, mobile application (117.6 ± 14.7°) measurements were not significantly different from visual (116.1 ± 13.6°) or goniometer (116.2 ± 13.6°) measurements. In extension, mobile application (4.8 ± 7.3°) measurements were significantly different from visual (1.9 ± 4.1°) measurements on post-hoc analysis (p < 0.01), while no differences were present compared to goniometer (3.1 ± 5.8°) measurements. Conclusion: Our study found that a mobile application for evaluating knee ROM was non-inferior to goniometer-based measurements performed by an arthroplasty-trained surgeon. Future studies will investigate this application’s utility in 1) remote patient care, 2) accelerating recovery during rehabilitation, 3) detecting early postoperative complications including arthrofibrosis, and 4) adding additional functionalities to the application to provide more detail-oriented descriptive analyses of patient knee function. Keywords: Knee function, range of motion, rehabilitation, technology, mobile application



Publication History

Received: 27 November 2023

Accepted after revision: 13 August 2024

Accepted Manuscript online:
14 August 2024

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