[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
:: Volume 6, Issue 1 (Military Caring Sciences 2019) ::
MCS 2019, 6(1): 39-48 Back to browse issues page
Effectiveness of Rehacom Cognitive Rehabilitation Software on Depression in Patients with Chronic Stroke
Amiri. S1, Nasehi. M 2, Hasani Abharian. P3, Haji Naghi Tehrani. KH4, Kazemi. R5
1- MSc of Clinical Psychology, Medical Sciences, Tehran Islamic Azad University, Tehran, Iran.
2- (Corresponding author) Ph.D. in Physiology, Associated Professor, Cognitive and Neuroscience Research Center (CNRC), Medical Sciences ,Tehran Islamic Azad University, Tehran, Iran.
3- Ph.D. in Cognitive Neuroscience, Assistant Professor, Institute for Cognitive Science Studies (ICSS), Tehran, Iran
4- MD in Neurology, Assistant Professor, Neurology Departement, Medical Sciences ,Tehran Islamic Azad University, Tehran, Iran.
5- MD, General Practitioner, Rehabilitation Biostatistics. Management and technical rehabilitation clinic tabassom, Tehran, Iran.
Abstract:   (255 Views)
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.
Keywords: Chronic Stroke, Depression, Software.
Full-Text [PDF 572 kb]   (53 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2018/11/11 | Accepted: 2019/03/9
References
1. Shiber, J.R., E. Fontane, and A. Adewale, Stroke registryhemorrhagic vs ischemic strokes. The American journal of emergency medicine, 2010. 28: p. 330-31.
2. Seifert, H.A. and H.J. Offner, The splenic response to stroke: from rodents to stroke subjects. Neuroinflammation, 2018. 15: p. 195-201.
3. Tyson, S.F. et al. Balance disability after stroke. Physical therapy, 2006. 86: p. 30-8.
4. EbrahimiRad, R. et al. Prevalence and Risk Factors of Early Post -Stroke Depression. Journal of Zanjan University of Medical Sciences, 2016. 24: p. 115-24.
5. Sadock, B.J. V.A. Sadock, and P. Ruiz, Comperhensive textbook of psychiatry. 9th ed. Philadelphia: lippincott williams and wilkins, 2009.
6. Flaster, M. A. Sharma, and M. Rao, post stroke depression: a review emphasizing the role of prophylactic treatment and synergy with treatment for motor recovery Topics in Stroke Rehabilition, 2013. 20: p. 139-50.
7. Atashi, V. et al. The Effect of E-Learning on the Quality of Life of Patients with Stroke. Jornal of health and care, 2017. 19: p. 30-8.
8. Flavia, M. et al. Efficacy and specificity of intensive cognitive rehabilitation of attention and executive functions in multiple sclerosis. Journal of the neurological sciences, 2010. 288: p. 101-105.
9. De Luca, R. R.S. Calabr, and G. Gervasi, Is computer-assisted training effective in improving rehabilitative outcomes after brain injury? A case-control hospitalbased study. Disability and health journal, 2014. 7: p. 356-360.
10. Zeinali, A. A. Souri, and J. Ashoori, The Effect of Computer Games on Sustaining Attention and Organisation Ability of Students with Attention Deficit Disorder. Journal of Zanjan University of Medical Sciences and Health Services, 2015. 24: p. 88-98.
11. Cattelani, R. M. Zettin, and P. Zoccolotti, Rehabilitation treatment for adultswith behavioral and psychosocial disorders following acquired brain ingury a systematic review. Neuropsychol Reviw, 2010. 20: p. 25-85.
12. Mahmoudi khurandy, Z. S. Talepassand, and A. Rahimian Booger, The Impact of Computer-Based Cognitive Rehabilitation Program on Alzheimer's Patients with Mild Cognitive Deficits. Journal of Cognitive Science, 2015. 17: p. 22-32.
13. Fernandez, E. et al. Effectiveness of a computer-based training program of attention and memory in patients with acquired brain damage. Behavioral sciences, 2017. 8: p. 1-4.
14. campbell, J. sample size for clinical studies david machine. Say beng tan, szw huey tan, 2009.
15. Semkovska, M. et al. efficacy of neurocognitive remediation therapy during an acute depressive episode and following remission: results from two randomised pilot studies European Psychiatry, 2015. 30: p. 403-410.
16. Beck, A.T. R.A. Steer, and G.K. Brown, Manual for the Beck Depression Inventory-II. San Antonio. Psychological Corporation, 1996.
17. Ghassemzadeh, H. et al. Psychometric properties of a persian-language version of the beck depression inventory - second edition Depress Anxiety, 2005. 21: p. 185-192.
18. Mattioli, F. et al. Efficacy and specificity of intensive cognitive rehabilitation of attention and executive functions in multiple sclerosis. J Neurol Sci, 2010. 288(1-2): p. 101-5.
19. Chukhlovina, M.l. and A.A. Chukhlovin, Assessment of clinical manifestation and treatment of post-stroke depression in young patients with ischemic stroke. Zhurnal nevrologii i psikhiatrii imeni S.S. Korsakova, 2018. 118: p. 52-55.
20. Mohammadi, M.R. Z. Keshavarzi, and S. Talepasand, the effectiveness of computerized cognitive rehabilitation training program in improving cognitive abilities of schizophrenia clients Iranian Journal of Psychiatry, 2014(9): p. 209-215.
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA

Ethics code: IR.TMU.REC.1397.134


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

S A, M N, P H A, KH H N T, R K. Effectiveness of Rehacom Cognitive Rehabilitation Software on Depression in Patients with Chronic Stroke. MCS. 2019; 6 (1) :39-48
URL: http://mcs.ajaums.ac.ir/article-1-222-en.html


Volume 6, Issue 1 (Military Caring Sciences 2019) Back to browse issues page
مجله علوم مراقبتی نظامی Military Caring Sciences Journal
Persian site map - English site map - Created in 0.06 seconds with 32 queries by YEKTAWEB 3991