學院

醫學院

系所

職能治療學系

題名

Treatment effects of upper-limb robot-assisted therapy in stroke rehabilitation: A systematic review and meta-analysis

作者

Lee, M-T., Hsieh, Y-W., Cheng, H-J., Wu, C-Y., & Lin, K-C.*

期刊名稱

Journal of Taiwan Occupational Therapy Association（Non-SCI/SSCI-Indexed）

發表日期

2014

著作性質

原著

語文

中文

關鍵字

Robot-assisted therapy, Hemiplegia, Upper limb, Rehabilitation, Meta-analysis

摘要

Objective: A previous systematic review and meta-analysis indicated the effects of robot-assisted therapy (RT) on arm function and activities of daily living, but not in muscle strength. However, randomized controlled trials of RT in stroke rehabilitation have accumulated in recent years. This systematic review and meta-analysis was to synthesize and analyze studies that examined the effects of RT after stroke on the domains of the International Classification of Functioning, Disability, and Health (ICF). Methods: Articles published between January 1950 and March 2013 were retrieved from electronic databases and manual search. Relevant references were also reviewed. To be eligible for inclusion, the study should involve a randomized controlled trial that studied the effects of RT compared to the matched dose of control interventions in stroke patients on the body function and structure or activity or participation domain of the ICF. The effect size estimates were calculated and integrated for each outcome measure of the included studies. Results: Twenty-two reports were eligible for inclusion. The meta-analysis showed that RT led to better improvements than control interventions on the body function and structure domain with approximately moderate effect sizes (Hedges’s g = 0.424, p = .056) and on the participation domain with small effect sizes (Hedges’s g = 0.211, p = .144). However, there were similar effect sizes on the activity domain (Hedges’s g = -0.047, p = .881).Conclusion: This review supported the effects of RT on the body function and structure and participation domains of the ICF. Future research is needed to study the characteristics of participants and the levels of biomarkers relevant for outcome prediction, and underlying mechanisms of RT.