Factors That Contribute to the Use of Stroke Self-Rehabilitation Technologies: A Review

Author:

Vourganas IoannisORCID,Stankovic VladimirORCID,Stankovic LinaORCID,Kerr AndrewORCID

Abstract

Background Stroke is increasingly one of the main causes of impairment and disability. Contextual and empirical evidence demonstrate that, mainly due to service delivery constraints, but also due to a move toward personalized health care in the comfort of patients’ homes, more stroke survivors undergo rehabilitation at home with minimal or no supervision. Due to this trend toward telerehabilitation, systems for stroke patient self-rehabilitation have become increasingly popular, with many solutions recently proposed based on technological advances in sensing, machine learning, and visualization. However, by targeting generic patient profiles, these systems often do not provide adequate rehabilitation service, as they are not tailored to specific patients’ needs. Objective Our objective was to review state-of-the-art home rehabilitation systems and discuss their effectiveness from a patient-centric perspective. We aimed to analyze engagement enhancement of self-rehabilitation systems, as well as motivation, to identify the challenges in technology uptake. Methods We performed a systematic literature search with 307,550 results. Then, through a narrative review, we selected 96 sources of existing home rehabilitation systems and we conducted a critical analysis. Based on the critical analysis, we formulated new criteria to be used when designing future solutions, addressing the need for increased patient involvement and individualism. We categorized the criteria based on (1) motivation, (2) acceptance, and (3) technological aspects affecting the incorporation of the technology in practice. We categorized all reviewed systems based on whether they successfully met each of the proposed criteria. Results The criteria we identified were nonintrusive, nonwearable, motivation and engagement enhancing, individualized, supporting daily activities, cost-effective, simple, and transferable. We also examined the motivation method, suitability for elderly patients, and intended use as supplementary criteria. Through the detailed literature review and comparative analysis, we found no system reported in the literature that addressed all the set criteria. Most systems successfully addressed a subset of the criteria, but none successfully addressed all set goals of the ideal self-rehabilitation system for home use. Conclusions We identified a gap in the state-of-the-art in telerehabilitation and propose a set of criteria for a novel patient-centric system to enhance patient engagement and motivation and deliver better self-rehabilitation commitment.

Publisher

JMIR Publications Inc.

Subject

General Medicine

Reference102 articles.

1. Stroke AssociationState of the nation: stroke statistics January 20172017London, UKThe Associationhttps://www.stroke.org.uk/sites/default/files/state_of_the_nation_2017_final_1.pdf

2. Stroke AssociationState of the nation: stroke statistics February 20182018London, UKThe Associationhttps://www.stroke.org.uk/system/files/sotn_2018.pdf

3. iPad Technology for Home Rehabilitation after Stroke (iHOME): A Proof-of-Concept Randomized Trial

4. BalaamMEgglestoneSFitzpatrickGRoddenTHughesAWilkinsonANindTAxelrodLHarrisERickettsIMawsonSBurridgeJMotivating mobility: designing for lived motivation in stroke rehabilitation201129th Annual Conference on Human Factors in Computing SystemsMay 7-12 2011Vancouver, BC, CanadaNew York, NYACM Press30733082

5. BaranMLehrerNSiwiakDChenYDuffMIngallsTRikakisTDesign of a home-based adaptive mixed reality rehabilitation system for stroke survivors201133rd Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyAug 30-Sep 3, 2011Boston, MA, USA76027605

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