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Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction

Nicholas, Kevin ORCID: https://orcid.org/0000-0001-6924-9291, Sparkes, Valerie ORCID: https://orcid.org/0000-0003-4500-9327, Hamana, Katy ORCID: https://orcid.org/0000-0001-5213-253X, Al-Amri, Mohammad ORCID: https://orcid.org/0000-0003-2806-0462 and Button, Kate ORCID: https://orcid.org/0000-0003-1073-9901 2025. Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction. IPEM-Translation 15 , 100034. 10.1016/j.ipemt.2025.100034

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Abstract

Physiotherapist experiences and acceptability of a clinical sensor-based kinematic feedback toolkit for movement feedback rehabilitation for people following Anterior Cruciate Ligament reconstruction. Background After knee ligament repair many patients do not recover. Tailored physiotherapy treatments developed from accurate kinematic measurement providing individualised movement feedback may improve outcomes. We have developed a sensor-based kinematic feedback toolkit that generates visual quantifiable data giving precise feedback regarding real time multi-planar kinematic data in the clinical setting and we present physiotherapist opinions about this tool. Objective To gather physiotherapist experience and acceptance of a sensor-based kinematic feedback toolkit for anterior cruciate ligament injury rehabilitation to inform tool development for clinical practice Design and participants Semi-structured interviews gathered experiences of twelve physiotherapists who used the toolkit for patients undergoing anterior cruciate ligament rehabilitation Findings Four themes were identified (1) tool kit usability and future design considerations; (2) clinical integration and decision-making; (3) behaviour change; and (4) future use of biomechanical technology in clinical practice. Conclusion The sensor-based biomechanical feedback toolkit report was perceived to be usable and acceptable. Physiotherapists could identify biomechanical movement compensations in patients that could lead to a more individualised targeted treatment approach. Barriers focused on file sharing, IT integration, and compatibility to access and view the digital report. Recommendations were to determine patient acceptance and implementation of real-time data collection in clinical settings for patients and Physiotherapists.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Schools > Healthcare Sciences
Publisher: Elsevier
ISSN: 2667-2588
Date of First Compliant Deposit: 6 October 2025
Date of Acceptance: 25 August 2025
Last Modified: 07 Oct 2025 12:30
URI: https://orca.cardiff.ac.uk/id/eprint/181498

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