Wolf, Steven L, Kwakkel, Gert, Bayley, Mark, McDonnell, Michelle, Lang, Catherine and Pomeroy, Valerie ORCID: https://orcid.org/0000-0003-4487-823X and The Upper Extremity Stroke Algorithm Working Group (2016) Best practice for arm recovery post stroke: an international application. Physiotherapy, 102 (1). pp. 1-4. ISSN 0031-9406
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Abstract
Objective: To develop an evidence-based application (‘app’) for post-stroke upper extremity rehabilitation that can be used globally by therapists. Participants: Twenty-three experienced neurorehabilitation therapists, applied scientists and physicians, and 10 consultants dedicated to the provision of best practice to stroke survivors. Design: This team evaluated the evidence to support the timely and appropriate provision of interventions and the most defensible outcome measures during a 4-year voluntary information gathering and assimilation effort, as a basis for the sequencing of an algorithm informed by the data and directed by changes in impairment and chronicity. Outcome measures: The primary outcome was the formulation of a testable app that will be available for minimal user cost. The app is for a smartphone, and the comments of a focus group (audience at a World Confederation for Physical Therapy 2015 presentation, approximate n = 175) during a 30-minute ‘Questions and Answers’ session were assessed. Results: Analysis of documented, extensive input offered by the audience indicated a highly favourable disposition towards this novel tool, with provision of concrete suggestions prior to launching the final version. Suggestions centred on: inclusion of instructions; visuals and demonstrations; monitoring of adverse responses; availability of updates; autonomous use by patients; and potential to characterise practice. Conclusions: A simple, user-friendly app for decision making in the treatment of upper extremity impairments following stroke is feasible and welcomed.
Item Type: | Article |
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Uncontrolled Keywords: | cerebrovascular accident,upper extremity,motor activity,portable electronic apps,e-health |
Faculty \ School: | Faculty of Medicine and Health Sciences > School of Health Sciences |
UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Medicine and Health Sciences > Research Groups > Rehabilitation Faculty of Medicine and Health Sciences > Research Centres > Lifespan Health |
Depositing User: | Pure Connector |
Date Deposited: | 17 Feb 2016 16:00 |
Last Modified: | 19 Oct 2023 01:30 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/57146 |
DOI: | 10.1016/j.physio.2015.08.007 |
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