Download PDFOpen PDF in browserControlling and enhancing the post operative care after Knee Arthroplasty: Insights from a Multi-Center Prospective Longitudinal Cohort Study of a Digital Rehabilitation solution6 pages•Published: December 17, 2024AbstractNew surgical techniques, such as robotics and augmented reality, promise to increase the quality and reduce the variability of the surgical procedure. But the effect of these new developments could be altered by the variability of the post operative care. Rehabilitation following total knee replacement (TKA) traditionally involves in-person therapy, presenting challenges in terms of protocol adherence, reproducibility, and cost. Digital rehabilitation holds promise in addressing these issues, but existing systems often lack personalization, neglecting factors such as patient pain, participation, and recovery speed. Moreover, most digital platforms lack essential human support.This study aimed to explore the engagement, safety, and clinical effectiveness of a personalized and adaptive app-based human-supported digital monitoring and rehabilitation program. Conducted as a prospective multi-center longitudinal cohort study, 127 patients were enrolled. A smart alert system managed undesired events, triggering physician interventions in case of suspected issues. The app collected data on dropout rates, complications, readmissions, Patient-Reported Outcome Measures (PROMS), and patient satisfaction. Results showed a 2% readmission rate, with smart alerts potentially preventing 85% of flagged issues through timely doctor interventions. Program adherence reached 77%, and 89% of patients endorsed the program's use. The integration of personalized, human- backed digital solutions emerged as a transformative approach to standardize and enhance the rehabilitation journey post-TKA, while showing potential cost savings. Keyphrases: digitalisation, engagement, knee arthroplasty, mobile health, safety, standardisation, telerehabilitation In: Joshua W Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 7, pages 135-140.
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