Best practice for arm recovery post stroke: an international application

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
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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