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      Virtual Reality Therapy for Adults Post-Stroke: A Systematic Review and Meta-Analysis Exploring Virtual Environments and Commercial Games in Therapy

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          Abstract

          Background

          The objective of this analysis was to systematically review the evidence for virtual reality (VR) therapy in an adult post-stroke population in both custom built virtual environments (VE) and commercially available gaming systems (CG).

          Methods

          MEDLINE, CINAHL, EMBASE, ERIC, PSYCInfo, DARE, PEDro, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were systematically searched from the earliest available date until April 4, 2013. Controlled trials that compared VR to conventional therapy were included. Population criteria included adults (>18) post-stroke, excluding children, cerebral palsy, and other neurological disorders. Included studies were reported in English. Quality of studies was assessed with the Physiotherapy Evidence Database Scale (PEDro).

          Results

          Twenty-six studies met the inclusion criteria. For body function outcomes, there was a significant benefit of VR therapy compared to conventional therapy controls, G = 0.48, 95% CI = [0.27, 0.70], and no significant difference between VE and CG interventions (P = 0.38). For activity outcomes, there was a significant benefit of VR therapy, G = 0.58, 95% CI = [0.32, 0.85], and no significant difference between VE and CG interventions (P = 0.66). For participation outcomes, the overall effect size was G = 0.56, 95% CI = [0.02, 1.10]. All participation outcomes came from VE studies.

          Discussion

          VR rehabilitation moderately improves outcomes compared to conventional therapy in adults post-stroke. Current CG interventions have been too few and too small to assess potential benefits of CG. Future research in this area should aim to clearly define conventional therapy, report on participation measures, consider motivational components of therapy, and investigate commercially available systems in larger RCTs.

          Trial Registration

          Prospero CRD42013004338

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          Most cited references57

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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            Motor recovery after stroke: a systematic review.

            Loss of functional movement is a common consequence of stroke for which a wide range of interventions has been developed. In this Review, we aimed to provide an overview of the available evidence on interventions for motor recovery after stroke through the evaluation of systematic reviews, supplemented by recent randomised controlled trials. Most trials were small and had some design limitations. Improvements in recovery of arm function were seen for constraint-induced movement therapy, electromyographic biofeedback, mental practice with motor imagery, and robotics. Improvements in transfer ability or balance were seen with repetitive task training, biofeedback, and training with a moving platform. Physical fitness training, high-intensity therapy (usually physiotherapy), and repetitive task training improved walking speed. Although the existing evidence is limited by poor trial designs, some treatments do show promise for improving motor recovery, particularly those that have focused on high-intensity and repetitive task-specific practice.
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              Conducting meta-analyses in R with the metafor package

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                28 March 2014
                : 9
                : 3
                : e93318
                Affiliations
                [1 ]School of Kinesiology, Auburn University, Auburn, Alabama, United States of America
                [2 ]School of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada
                [3 ]Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada
                [4 ]Department of Occupational Science and Occupational Therapy, University of British Columbia, Vancouver, British Columbia, Canada
                [5 ]Department of Mechanical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
                University of Glasgow, United Kingdom
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: KRL. Performed the experiments: KRL CGEH KLC ST. Analyzed the data: KRL CGEH KLC ST. Wrote the paper: KRL CGEH KLC ST HFMVdL.

                Article
                PONE-D-14-02313
                10.1371/journal.pone.0093318
                3969329
                24681826
                0da80fe0-e449-4c2a-8cd7-7befd2ffa7c2
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 17 January 2014
                : 28 February 2014
                Page count
                Pages: 13
                Funding
                This research was funded by #11-079 from the Peter Wall Solutions Initiative at the University of British Columbia awarded to H.F.M. Van der Loos. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Computer and Information Sciences
                Computer Architecture
                User Interfaces
                Virtual Reality
                Engineering and Technology
                Human Factors Engineering
                Man-Computer Interface
                Medicine and Health Sciences
                Health Care
                Physiotherapy
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Meta-Analysis
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews

                Uncategorized
                Uncategorized

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