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Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
Published on: March 8, 2018
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.
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.
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.
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