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Article Abstract

Background: Osteoarthritis (OA) is characterized by pain, functional impairments, muscle weakness, and joint stiffness. Since OA heightens reliance on heath care resources and exacerbates socioeconomic burden, remote OA rehabilitation using digital technologies is rapidly evolving.

Objective: The aim of this study was to analyze the efficacy of behavioral therapy-based digital interventions for patients with OA.

Methods: This study is a systematic review of randomized controlled trials (RCTs) that assessed the effects of behavioral therapy-based digital intervention tools for OA. These RCTs were searched from inception to June 2023 in the Web of Science, Embase, Cochrane Library, Ovid, and PubMed databases.

Results: Ten eligible RCTs comprising 1895 patients with OA were included. Digital tools based on either cognitive behavioral therapy (CBT) or behavior change technique (BCT) were investigated. All studies demonstrated low-to-moderate effects on pain reduction in the short term (standardized mean difference [SMD] -0.20, 95% CI -0.35 to -0.05). Six studies reported improvement in physical function (SMD -0.20, 95% CI -0.41 to 0.00), and 5 confirmed increased pain self-efficacy (SMD 0.22, 95% CI 0.02-0.42). In subgroup analysis, compared with CBT, BCT-based digital interventions demonstrated their effects on pain reduction (SMD -0.25, 95% CI -0.49 to 0.00) and physical function (SMD -0.26, 95% CI -0.54 to -0.01) in the short term. In addition, physiotherapist involvement in treatment had a positive effect on pain control (SMD -0.14, 95% CI -0.27 to -0.02). Furthermore, web-based digital tools improved physical function in the short term (SMD -0.28, 95% CI -0.54 to -0.01).

Conclusions: Moderate- and low-quality evidence supported that behavioral therapy-based digital tools improved pain intensity, physical function, and self-efficacy in the short term. However, affective interactions between patients and professionals may affect the clinical outcomes.

Trial Registration: PROSPERO CRD42023430716; https://tinyurl.com/yc49vzyy.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11966084PMC
http://dx.doi.org/10.2196/56227DOI Listing

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