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Πέμπτη 5 Ιουλίου 2018

A Systematic Review and Meta-Analysis of Rehabilitative Interventions for Unilateral Spatial Neglect and Hemianopia from 2006 through 2016

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Publication date: Available online 4 July 2018

Source: Archives of Physical Medicine and Rehabilitation

Author(s): Karen P.Y. Liu, Jessica Hanly, Paul Fahey, Shirley S.M. Fong, Rosalind Bye

Abstract
Objective

To evaluate the effectiveness of activity-based, non-activity-based, and combined activity- and non-activity-based, rehabilitative interventions for individuals presenting with unilateral spatial neglect (USN) and hemianopia.

Data Sources

We searched CINAHL, Cochrane Library, EMBASE, MEDLINE and PubMed from 2006 to 2016.

Study Selection

Randomized controlled trials (RCTs), with a score of 6 or above in the PEDro Scale, that examined the effects of activity-based and non-activity-based rehabilitation interventions for people with USN or hemianopia. Two reviewers selected studies independently.

Data Extraction

Extracted data from the published RCTs. Mean differences (MD) or Standardized mean differences (SMD), and 95% confidence intervals (CIs), were calculated. Heterogeneity was assessed using the I2 statistic.

aData Synthesis

Twenty RCTs for USN and five for hemianopia, involving 594 and 206 stroke participants respectively, were identified. Encouraging results were found in relation to activity-based interventions for visual scanning training and compensatory training for hemianopia (MD=5.11; CI=0.83 to 9.4; P=0.019; I2=25.16% on visual outcomes), and optokinetic stimulation and smooth pursuit training for USN (SMD=0.49, CI=0.01 to 0.97, P=0.045, I2=49.35% on functional performance in activities of daily living; SMD=0.96; CI=0.09 to 1.82; P=0.031; I2=89.57% on neglect).

Conclusions

Activity-based interventions are effective and commonly used in the treatment of USN and hemianopia. Non-activity-based and combined approaches, for both impairments, have not been refuted, as more studies are required for substantiated conclusions to be drawn.



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