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Telerehabilitation to improve outcomes for people with stroke: study protocol for a randomised controlled trial

Overview of attention for article published in Trials, December 2012
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Title
Telerehabilitation to improve outcomes for people with stroke: study protocol for a randomised controlled trial
Published in
Trials, December 2012
DOI 10.1186/1745-6215-13-233
Pubmed ID
Authors

Nicola Saywell, Alain C Vandal, Paul Brown, H Carl Hanger, Leigh Hale, Suzie Mudge, Stephan Milosavljevic, Valery Feigin, Denise Taylor

Abstract

In New Zealand, around 45,000 people live with stroke and many studies have reported that benefits gained during initial rehabilitation are not sustained. Evidence indicates that participation in physical interventions can prevent the functional decline that frequently occurs after discharge from acute care facilities. However, on-going stroke services provision following discharge from acute care is often related to non-medical factors such as availability of resources and geographical location. Currently most people receive no treatment beyond three months post stroke. The study aims to determine if the Augmented Community Telerehabilitation Intervention (ACTIV) results in better physical function for people with stroke than usual care, as measured by the Stroke Impact Scale, physical subcomponent.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Russia 2 <1%
United Kingdom 2 <1%
France 1 <1%
Ireland 1 <1%
United States 1 <1%
Unknown 293 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 49 16%
Researcher 40 13%
Student > Bachelor 36 12%
Student > Ph. D. Student 33 11%
Student > Doctoral Student 24 8%
Other 40 13%
Unknown 80 26%
Readers by discipline Count As %
Medicine and Dentistry 66 22%
Nursing and Health Professions 48 16%
Psychology 17 6%
Neuroscience 16 5%
Computer Science 11 4%
Other 49 16%
Unknown 95 31%