Best practice for arm recovery post stroke: An international application

for the Upper Extremity Stroke Algorithm Working Group

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)1-4
Number of pages4
JournalPhysiotherapy (United Kingdom)
Issue number1
StatePublished - Mar 1 2016

All Science Journal Classification (ASJC) codes

  • Physical Therapy, Sports Therapy and Rehabilitation


  • Cerebrovascular accident
  • E-Health
  • Motor activity
  • Portable electronic apps
  • Upper extremity


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