Effectiveness of Rehacom Cognitive Rehabilitation Software on Depression in Patients with Chronic Stroke

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Introduction
Stroke is the second leading cause of death in the world as well as in Iran, while most survivors suffer from long-term physical and cognitive impairment, which imposes many costs on the community and these patients. The prevalence among people with stroke is depression, which is estimated at 45% in our country.
Objectives
The purpose of this study was to investigate the effect of relapse cognitive rehabilitation software on depression in patients suffering from stroke in Tehran province in 2018.
Materials and Methods
In this study, 50 patients with chronic stroke in Tehran province were selected in Tehran Tabason clinic by purposeful sampling method and randomly divided into control groups (n = 25) and test (n = 25). The pre-test of Beck Depression Inventory was performed by using Beck Depression Inventory. The experimental group received 10 sessions of 45 minutes (2 sessions per week) under the intervention of rehacom cognitive software, while the control group did not receive any intervention. However, both groups received treatment Traditional rehabilitation was like physiotherapy. Finally, the test was performed again from both post-test groups.
Results
The statistical significance of the data was analyzed using ANCOVA. Results showed that, despite the control of the pre-test effect between the two groups, the test and control group, as a result of the post-test regarding the mean scores of depression, showed a significant difference (P <0. 001). As a result, cognitive loss relief software significantly improved depression in patients with stroke.
Discussion and
Conclusion
The results indicate that rehacom cognitive rehabilitation software group significantly improved depression in patients with chronic stroke. However, Further studies such as QEEG are needed for showing the actual mechanisem of rehacom cognitive rehabilitation software.
Language:
Persian
Published:
Journal of Military Caring Sciences, Volume:6 Issue: 1, 2019
Pages:
39 to 48
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