Consideration-of-concept of EvolvRehab-Body for upper limb virtual rehabilitation at home for people late after stroke.

Fiona Ellis, Nicola Hancock, Niamh Kennedy, Allan Clark, Jacob Wells, Elizabeth Chandler, David Payne, Valerie Pomeroy

Research output: Contribution to journalArticlepeer-review

Abstract

Objective
EvolvRehab-Body is a non-immersive virtual rehabilitation system that could provide high-dose, exercise-based upper limb therapy after stroke. This consideration-of-concept study investigated: adherence rate to prescribed repetitions; viability of repeated measures in preparation for a dose-articulation study; and preliminary signal of potential benefit.

Methods
Pre-post and repeated measures with people at least six months after stroke. Twelve-week intervention: exercise-based therapy via EvolvRehab-Body. Pre-post-intervention measures: Wolf Motor Function Test (WMFT); hand grip force. Repeated-during-intervention measures: Motricity Index (MI) and Action Research Arm Test (ARAT). Analysis: adherence rate (%) to set repetitions; percentage of total possible measures collected; pre-to-post-intervention change estimated in relation to published minimally detectable changes of WMFT and hand grip force; and slope of plotted data for MI and ARAT (linear regression).

Results
Eight of twelve participants completed the 12-week intervention phase. Adherence: 88% (1710–9377 repetitions performed). Viability repeated measures: 88 of 96 (92%) ARAT and MI scores collected. Preliminary signal of potential benefit was observed in five participants but not always for the same measures. Three participants improved WMFT-time (−7.9 to −27.2 s/item), four improved WMFT-function (0.2–1.1 points/item), and nobody changed grip force. Slope of plotted data over the 12-week intervention ranged from: − 1.42 (p = 0.26) to 1.36 (p = 0.24) points-per-week for MI and − 0.30 (p = 0.40) to 1.71 (p < 0.001) points-per-week for ARAT.

Conclusion
Findings of good adherence rate in home settings and preliminary signal of benefit for some participants gives support to proceed to a dose-articulation study. These findings cannot inform clinical practice.
Original languageEnglish
Pages (from-to)97-107
Number of pages11
JournalPhysiotherapy
Volume116
Early online date8 Apr 2022
DOIs
Publication statusE-pub ahead of print - 8 Apr 2022

Bibliographical note

Funding Information:
We are grateful to Evolv Rehabilitation Technologies for providing part of the funding of the University of East Anglia PhD studentship held by Fiona Ellis, first author of this scientific report. We are also grateful for the support for the last author’s research provided by the National Institute for Health Research (NIHR) Brain Injury MedTech Co-operative based at Cambridge University Hospitals NHS Foundation Trust and University of Cambridge. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.

Funding Information:
Fiona Ellis was funded by a University of East Anglia (UEA) PhD Fellowship. Funding for the PhD Fellowship was provided by the UEA and Evolv Rehabilitation Technologies.

Publisher Copyright:
© 2022 Chartered Society of Physiotherapy

Keywords

  • Virtual Rehabilitation
  • Virtual Reality
  • User-led design
  • Stroke

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