Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 26, 2023
Date Accepted: Jul 3, 2024

The final, peer-reviewed published version of this preprint can be found here:

Telehealth-Supported Exercise or Physical Activity Programs for Knee Osteoarthritis: Systematic Review and Meta-Analysis

Xiang XN, Wang ZZ, Hu J, Zhang JY, Li K, Chen QX, Xu FS, Zhang YW, He HC, He CQ, Zhu SY

Telehealth-Supported Exercise or Physical Activity Programs for Knee Osteoarthritis: Systematic Review and Meta-Analysis

J Med Internet Res 2024;26:e54876

DOI: 10.2196/54876

PMID: 39094114

PMCID: 11329855

Telehealth-supported exercise/physical activity programs for knee osteoarthritis: A systematic review and meta-analysis

  • Xiao-Na Xiang; 
  • Ze-Zhang Wang; 
  • Jing Hu; 
  • Jiang-Yin Zhang; 
  • Ke Li; 
  • Qi-Xu Chen; 
  • Fa-Shu Xu; 
  • Yue-Wen Zhang; 
  • Hong-Chen He; 
  • Cheng-Qi He; 
  • Si-Yi Zhu

ABSTRACT

Background:

The integration of telehealth-supported programs in chronic disease management has become increasingly common. However, its effectiveness for individuals with knee osteoarthritis remains unclear.

Objective:

This study aimed to assess the effectiveness of telehealth-supported exercise/physical activity programs for individuals with knee osteoarthritis.

Methods:

A comprehensive literature search encompassing Embase, MEDLINE, CENTRAL, Web of Science, PubMed, Scopus, the Physiotherapy Evidence Database, GreyNet, and medRxiv from inception to September 2023 was conducted to identify randomized controlled trials comparing telehealth-supported exercise/physical activity programs to a control condition for knee osteoarthritis. The systematic review and the meta-analysis protocol were registered with PROSPERO (CRD42022359658) and reported according to PRISMA 2020.

Results:

Twenty-three studies met eligibility criteria, with 20 included in the meta-analysis. Results showed that telehealth-supported exercise/physical activity programs reduced pain (g = −0.39, 95% confidence interval (95%CI) −0.67 to −0.11, P < .01), improved physical activity (g = 0.13, 95%CI 0.03 to 0.23, P = .01), and enhanced physical function (g = −0.51, 95%CI −0.98 to −0.05, P = .03). Moreover, significant improvements in quality of life (g = 0.25; 95% CI 0.14 to 0.36; P <.01), self-efficacy for pain (g = 0.72; 95% CI 0.53 to 0.91; P < .01), and global improvement (odds ratios = 2.69; 95% CI 1.41 to 5.15; P< .01) were observed. However, self-efficacy for physical function (g = 0.14; 95% CI −0.26 to 0.53; P = .50) showed insignificant improvements. Subgroup analyses based on the World Health Organization classification of digital health (pain: χ2 = 6.48, P = .04; physical function: χ2 = 6.44, P = .04), the type of tele-technology in the intervention group (pain: χ2 = 4.76, P = .31; function: χ2 = 12.96, P = .01), and active/inactive controls (pain: χ2 = 5.29, P = .02; physical function: χ2 = 3.37, P = .07) showed significant subgroup differences.

Conclusions:

Telehealth-supported exercise/physical activity programs might reduce knee pain and improve physical activity, physical function, quality of life, self-efficacy, and global improvement in individuals with knee osteoarthritis. Future research should consider longer implementation durations and assess the feasibility of incorporating wearables and standardized components into large-scale interventions to evaluate the effects. Clinical Trial: PROSPERO registration number: CRD42022359658


 Citation

Please cite as:

Xiang XN, Wang ZZ, Hu J, Zhang JY, Li K, Chen QX, Xu FS, Zhang YW, He HC, He CQ, Zhu SY

Telehealth-Supported Exercise or Physical Activity Programs for Knee Osteoarthritis: Systematic Review and Meta-Analysis

J Med Internet Res 2024;26:e54876

DOI: 10.2196/54876

PMID: 39094114

PMCID: 11329855

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.