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Mark Bayley

Researcher at Toronto Rehabilitation Institute

Publications -  246
Citations -  9534

Mark Bayley is an academic researcher from Toronto Rehabilitation Institute. The author has contributed to research in topics: Rehabilitation & Medicine. The author has an hindex of 48, co-authored 203 publications receiving 7992 citations. Previous affiliations of Mark Bayley include College of Physicians and Surgeons of Ontario & Sunnybrook Health Sciences Centre.

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Effectiveness of Virtual Reality Using Wii Gaming Technology in Stroke Rehabilitation: A Pilot Randomized Clinical Trial and Proof of Principle

TL;DR: VRWii gaming technology represents a safe, feasible, and potentially effective alternative to facilitate rehabilitation therapy and promote motor recovery after stroke.
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Canadian stroke best practice recommendations: Stroke rehabilitation practice guidelines, update 2015

TL;DR: The 2015 update of the Canadian Stroke Best Practice Recommendations: Stroke Rehabilitation Practice Guidelines is a comprehensive summary of current evidence-based recommendations for all members of multidisciplinary teams working in a range of settings, who provide care to patients following stroke.
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Issues for selection of outcome measures in stroke rehabilitation: ICF Participation.

TL;DR: Of the three ICF categories, Participation seems to be most problematic with respect to: (a) lack of consensus on the range of domains required for measurement in stroke; (b) much greater emphasis on health-related quality of life, relative to subjective quality ofLife in general; and (c) the inclusion of a mixture of measurements from all threeICF categories.
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The Toronto Bedside Swallowing Screening Test (TOR-BSST): development and validation of a dysphagia screening tool for patients with stroke.

TL;DR: A new bedside dysphagia screening tool—the Toronto Bedside Swallowing Screening Test (TOR-BSST) for stroke survivors in acute and rehabilitative settings is designed and validated, demonstrating excellent validity with sensitivity at 91.3% and negative predictive values at 93.5%.