Zhi-Yuan Zhang
Jilin University, ChinaTitle: Digital rehabilitation programs improve therapeutic exercise adherence for patients with musculoskeletal conditions: A systematic review with meta-analysis
Abstract
OBJECTIVE: To investigate the effects of digital rehabilitation for improving adherence to therapeutic exercise in people with musculoskeletal conditions. We conduct an intervention systematic review with meta-analysis.
METHODS: Five databases were searched from their inception to March 2022. We included randomized controlled trials evaluating digital rehabilitation programs to improve adherence to therapeutic exercise for people with musculoskeletal conditions. We calculated standardized mean differences (SMDs) or mean differences (MDs) and 95% confidence intervals (CIs). Certainty of evidence was rated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. Bias was assessed using the Cochrane risk of bias tool.
RESULTS: Eleven trials were included in the meta-analysis (n = 1144 participants). At short-term follow-up, digital rehabilitation was no better than nondigital rehabilitation (3 trials, adherence rate of prescribed exercise test SMD 0.50, 95% CI: ?0.13, 1.13; 2 trials, self-reported exercise adherence test MD 1.07, 95% CI: 0.58, 1.56; 2 trials, assessor-reported exercise adherence test SMD ?0.10, 95% CI: ?0.56, 0.36). At intermediate-term follow-up, digital rehabilitation improved exercise adherence compared with nondigital rehabilitation (6 trials, adherence rate of prescribed exercise test SMD 0.53, 95% CI: 0.35, 0.70; 2 trials, self-reported exercise adherence test MD 1.50, 95% CI: 0.76, 2.25; 2 trials, Exercise Adherence Rating Scale test MD 5.86, 95% CI: 0.08, 11.65). At long-term follow-up, there was no clinically important difference between digital and nondigital rehabilitation (2 trials, adherence rate of prescribed exercise test SMD 0.28, 95% CI: ?0.14, 0.70; 1 trial, self-reported exercise adherence test MD 0.20, 95% CI: ?0.91, 1.31). CONCLUSION: Digital rehabilitation was effective at improving therapeutic exercise adherence in musculoskeletal conditions at mid-term follow-up, but not at short- and long-term follow-up.
METHODS: Five databases were searched from their inception to March 2022. We included randomized controlled trials evaluating digital rehabilitation programs to improve adherence to therapeutic exercise for people with musculoskeletal conditions. We calculated standardized mean differences (SMDs) or mean differences (MDs) and 95% confidence intervals (CIs). Certainty of evidence was rated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. Bias was assessed using the Cochrane risk of bias tool.
RESULTS: Eleven trials were included in the meta-analysis (n = 1144 participants). At short-term follow-up, digital rehabilitation was no better than nondigital rehabilitation (3 trials, adherence rate of prescribed exercise test SMD 0.50, 95% CI: ?0.13, 1.13; 2 trials, self-reported exercise adherence test MD 1.07, 95% CI: 0.58, 1.56; 2 trials, assessor-reported exercise adherence test SMD ?0.10, 95% CI: ?0.56, 0.36). At intermediate-term follow-up, digital rehabilitation improved exercise adherence compared with nondigital rehabilitation (6 trials, adherence rate of prescribed exercise test SMD 0.53, 95% CI: 0.35, 0.70; 2 trials, self-reported exercise adherence test MD 1.50, 95% CI: 0.76, 2.25; 2 trials, Exercise Adherence Rating Scale test MD 5.86, 95% CI: 0.08, 11.65). At long-term follow-up, there was no clinically important difference between digital and nondigital rehabilitation (2 trials, adherence rate of prescribed exercise test SMD 0.28, 95% CI: ?0.14, 0.70; 1 trial, self-reported exercise adherence test MD 0.20, 95% CI: ?0.91, 1.31). CONCLUSION: Digital rehabilitation was effective at improving therapeutic exercise adherence in musculoskeletal conditions at mid-term follow-up, but not at short- and long-term follow-up.
Biography
Zhi-Yuan Zhang graduated with a Bachelor of Science degree from Jilin University and is also a Master of Science in the field of physical therapy at Jilin University. He specializes in physical therapy and sports medicine for musculoskeletal disorders. He has published a paper as the first author in The Journal of Orthopaedic & Sports Physical Therapy currently.
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