Usability Assessment of Technologies for Remote Monitoring of Knee Osteoarthritis

<italic>Goal</italic>: To evaluate the usability of different technologies designed for a remote assessment of knee osteoarthritis. <italic>Methods:</italic> We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinician...

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Main Authors: Andrea Cafarelli, Angela Sorriento, Giorgia Marola, Denise Amram, Fabien Rabusseau, Herve Locteau, Paolo Cabras, Erik Dumont, Sam Nakhaei, Ake Jernberger, Par Bergsten, Paolo Spinnato, Alessandro Russo, Leonardo Ricotti
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
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Online Access:https://ieeexplore.ieee.org/document/10543164/
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Summary:<italic>Goal</italic>: To evaluate the usability of different technologies designed for a remote assessment of knee osteoarthritis. <italic>Methods:</italic> We recruited eleven patients affected by mild or moderate knee osteoarthritis, eleven caregivers, and eleven clinicians to assess the following technologies: a wristband for monitoring physical activity, an examination chair for measuring leg extension, a thermal camera for acquiring skin thermographic data, a force balance for measuring center of pressure, an ultrasound imaging system for remote echographic acquisition, a mobile app, and a clinical portal software. Specific questionnaires scoring usability were filled out by patients, caregivers and clinicians. <italic>Results:</italic> The questionnaires highlighted a good level of usability and user-friendliness for all the technologies, obtaining an average score of 8.7 provided by the patients, 8.8 by the caregivers, and 8.5 by the clinicians, on a scale ranging from 0 to 10. Such average scores were calculated by putting together the scores obtained for the single technologies under evaluation and averaging them. <italic>Conclusions:</italic> This study demonstrates a high level of acceptability for the tested portable technologies designed for a potentially remote and frequent assessment of knee osteoarthritis.
ISSN:2644-1276