Literature DB >> 23535800

Effect of computer-based cognitive rehabilitation (CBCR) for people with stroke: a systematic review and meta-analysis.

Yu-Jin Cha1, Hee Kim.   

Abstract

OBJECTIVE: We conducted a systematic review and meta-analysis to identify the effect of computer-based cognitive rehabilitation (CBCR) on improving cognitive functions in patients with stroke.
METHODS: Researchers performed a literature search using computerized databases such as the Cochrane Database, EBSCO (CINAHL), PsycINFO, PubMed and Web of Science. The following keywords were used: stroke, computer-based, cognitive rehabilitation, and others. The methodological quality was evaluated. Statistical heterogeneity and standardized mean difference were used to compute the overall effect size and that of subgroups. Also publication bias of the selected studies was analysed.
RESULTS: Twelve studies met the inclusion criteria including a total of 461 stroke survivors. Among studies, six RCT studies were rated as high methodological quality. Overall effect size was medium 0.54, and the 95% confidence interval was 0.33-0.74. The effect sizes of acute and chronic phase of stroke were both 0.54. They can be interpreted as medium effect size and were statistically significant. The statistical heterogeneity and publication bias were not significant.
CONCLUSION: The present study provides evidence that CBCR is effective on improving cognitive function after stroke. We recommend conducting meta-analysis on subgroups of CBCR programs in further studies.

Entities:  

Mesh:

Year:  2013        PMID: 23535800     DOI: 10.3233/NRE-130856

Source DB:  PubMed          Journal:  NeuroRehabilitation        ISSN: 1053-8135            Impact factor:   2.138


  12 in total

1.  Assessing and restoring cognitive functions early after stroke.

Authors:  Chiara Zucchella; Annarita Capone; Valentina Codella; Carmine Vecchione; Giovanni Buccino; Giorgio Sandrini; Francesco Pierelli; Michelangelo Bartolo
Journal:  Funct Neurol       Date:  2014 Oct-Dec

Review 2.  Computerized Cognitive Rehabilitation of Attention and Executive Function in Acquired Brain Injury: A Systematic Review.

Authors:  Yelena Bogdanova; Megan K Yee; Vivian T Ho; Keith D Cicerone
Journal:  J Head Trauma Rehabil       Date:  2016 Nov/Dec       Impact factor: 2.710

3.  The effects of a Korean computer-based cognitive rehabilitation program on cognitive function and visual perception ability of patients with acute stroke.

Authors:  Jin-Hyuck Park; Ji-Hyuk Park
Journal:  J Phys Ther Sci       Date:  2015-08-21

Review 4.  Post-stroke dementia - a comprehensive review.

Authors:  Milija D Mijajlović; Aleksandra Pavlović; Michael Brainin; Wolf-Dieter Heiss; Terence J Quinn; Hege B Ihle-Hansen; Dirk M Hermann; Einor Ben Assayag; Edo Richard; Alexander Thiel; Efrat Kliper; Yong-Il Shin; Yun-Hee Kim; SeongHye Choi; San Jung; Yeong-Bae Lee; Osman Sinanović; Deborah A Levine; Ilana Schlesinger; Gillian Mead; Vuk Milošević; Didier Leys; Guri Hagberg; Marie Helene Ursin; Yvonne Teuschl; Semyon Prokopenko; Elena Mozheyko; Anna Bezdenezhnykh; Karl Matz; Vuk Aleksić; DafinFior Muresanu; Amos D Korczyn; Natan M Bornstein
Journal:  BMC Med       Date:  2017-01-18       Impact factor: 8.775

5.  Web-based cognitive training: patient adherence and intensity of treatment in an outpatient memory clinic.

Authors:  Vítor Tedim Cruz; Joana Pais; Ivânia Alves; Luís Ruano; Cátia Mateus; Rui Barreto; Virgílio Bento; Márcio Colunas; Nelson Rocha; Paula Coutinho
Journal:  J Med Internet Res       Date:  2014-05-07       Impact factor: 5.428

6.  The synergistic effect of acupuncture and computer-based cognitive training on post-stroke cognitive dysfunction: a study protocol for a randomized controlled trial of 2 × 2 factorial design.

Authors:  Shanli Yang; Haicheng Ye; Jia Huang; Jing Tao; Cai Jiang; Zhicheng Lin; Guohua Zheng; Lidian Chen
Journal:  BMC Complement Altern Med       Date:  2014-08-07       Impact factor: 3.659

7.  Implementation and Outcomes of a Collaborative Multi-Center Network Aimed at Web-Based Cognitive Training - COGWEB Network.

Authors:  Vítor Tedim Cruz; Joana Pais; Luis Ruano; Cátia Mateus; Márcio Colunas; Ivânia Alves; Rui Barreto; Eduardo Conde; Andreia Sousa; Isabel Araújo; Virgílio Bento; Paula Coutinho; Nelson Rocha
Journal:  JMIR Ment Health       Date:  2014-11-27

8.  Adaptive vs. non-adaptive cognitive training by means of a personalized App: a randomized trial in people with multiple sclerosis.

Authors:  Ludovico Pedullà; Giampaolo Brichetto; Andrea Tacchino; Claudio Vassallo; Paola Zaratin; Mario Alberto Battaglia; Laura Bonzano; Marco Bove
Journal:  J Neuroeng Rehabil       Date:  2016-10-04       Impact factor: 4.262

9.  A New App for At-Home Cognitive Training: Description and Pilot Testing on Patients with Multiple Sclerosis.

Authors:  Andrea Tacchino; Ludovico Pedullà; Laura Bonzano; Claudio Vassallo; Mario Alberto Battaglia; Gianluigi Mancardi; Marco Bove; Giampaolo Brichetto
Journal:  JMIR Mhealth Uhealth       Date:  2015-08-31       Impact factor: 4.773

10.  A randomized controlled trial of the computer-based cognitive rehabilitation program for children (CoTras-C) to examine cognitive function and visual perception in children with developmental disabilities.

Authors:  Jin-Hyuck Park; Ji-Hyuk Park
Journal:  J Phys Ther Sci       Date:  2015-12-28
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