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Related Experiment Video

Updated: Jun 23, 2026

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
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Mobile Technology-Based Interventions for Stroke Self-Management Support: Scoping Review.

Alexandra N Thompson1,2, Deirdre R Dawson1,2,3, Jean Michelle Legasto-Mulvale1,4

  • 1Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

JMIR Mhealth and Uhealth
|December 6, 2023
PubMed
Summary

Mobile health (mHealth) interventions show promise for stroke self-management support, but definitions vary. This review found interventions generally align with self-management concepts, though individual alignment needs improvement for better evidence synthesis.

Keywords:
chronic diseasedigital healtheHealthmHealthmobile healthmobile phonerehabilitationself-managementstroketelehealthtelemedicine

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Area of Science:

  • Rehabilitation Medicine
  • Digital Health
  • Stroke Recovery

Background:

  • Growing interest exists in using mobile health (mHealth) technology for post-stroke self-management support.
  • Inconsistent definitions of "self-management support" in mHealth literature hinder evidence synthesis and comparison.
  • A scoping review was conducted to clarify conceptual clarity in post-stroke mHealth interventions.

Purpose of the Study:

  • To identify and describe types of post-stroke mHealth interventions evaluated in randomized controlled trials.
  • To determine the alignment of these interventions with established self-management support conceptualizations (Lorig and Holman theory, PRISMS taxonomy).
  • To identify mHealth functions that effectively facilitate self-management in stroke survivors.

Main Methods:

  • A comprehensive scoping review methodology was employed (Arksey and O'Malley, Levac et al.).
  • Searches were conducted across 7 databases, with article screening and data extraction performed by two independent reviewers.
  • Descriptive statistics and content analysis were used for data analysis.

Main Results:

  • Twenty-nine studies (26 interventions) were included, covering 7 focal areas like physical exercise, risk factor management, and stroke education.
  • Interventions utilized various mobile devices (smartphones, tablets, wearables) and mHealth functions (education, monitoring, feedback, motivation).
  • Collectively, interventions aligned well with self-management support concepts, but individual intervention alignment was less consistent.

Conclusions:

  • Future research should adopt a more theoretically driven and multidisciplinary approach.
  • Larger-scale studies are recommended to further advance post-stroke mHealth interventions.
  • Enhanced conceptual clarity and alignment are crucial for robust evidence in stroke self-management mHealth research.