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Is upper limb virtual reality training more intensive than conventional training for patients in the subacute phase after stroke? An analysis of treatment intensity and content.
- Source :
- BMC Neurology; 11/11/2016, Vol. 16, p1-7, 7p, 3 Charts, 1 Graph
- Publication Year :
- 2016
-
Abstract
- Background: Virtual reality (VR) training is thought to improve upper limb (UL) motor function after stroke when utilizing intensive training with many repetitions. The purpose of this study was to compare intensity and content of a VR training intervention to a conventional task-oriented intervention (CT). Methods: A random sample of 50 video recordings was analyzed of patients with a broad range of UL motor impairments (mean age 61y, 22 women). Patients took part in the VIRTUES trial and were randomized to either VR or CT and stratified according to severity of paresis. A standardized scoring form was used to analyze intensity, i.e. active use of the affected UL expressed in % of total time, total active time and total duration of a training session in minutes, content of training and feedback. Two raters collected data independently. Linear regression models as well as descriptive and graphical methods were used. Results: Patients in the VR group spent significantly more time actively practicing with an activity rate of 77.6 (8.9) % than patients in the CT 67.3 (13.9) %, (p = .003). This difference was attributed to the subgroup of patients with initially severe paresis (n = 22). While in VR severely impaired patients spent 80.7 % (4.4 %) of the session time actively; they reached 60.6 (12.1) % in CT. VR and CT also differed in terms of tasks and feedback provided. Conclusion: Our results indicate that patients with severely impaired UL motor function spent more time actively in VR training, which may influence recovery. The upcoming results of the VIRTUES trial will show whether this is correlated with an increased effect of VR compared to CT. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14712377
- Volume :
- 16
- Database :
- Complementary Index
- Journal :
- BMC Neurology
- Publication Type :
- Academic Journal
- Accession number :
- 119490282
- Full Text :
- https://doi.org/10.1186/s12883-016-0740-y