%0 Journal Article
%@ 2291-5222
%I JMIR Publications
%V 11
%N 
%P e46558
%T Mobile Technology–Based Interventions for Stroke Self-Management Support: Scoping Review
%A Thompson,Alexandra N
%A Dawson,Deirdre R
%A Legasto-Mulvale,Jean Michelle
%A Chandran,Nivetha
%A Tanchip,Chelsea
%A Niemczyk,Veronika
%A Rashkovan,Jillian
%A Jeyakumar,Saisa
%A Wang,Rosalie H
%A Cameron,Jill I
%A Nalder,Emily
%+ Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Suite 160, 500 University Avenue, Toronto, ON, M5G 1V7, Canada, 1 416 978 5937, emily.nalder@utoronto.ca
%K stroke
%K chronic disease
%K self-management
%K rehabilitation
%K mobile health
%K mHealth
%K eHealth
%K telehealth
%K telemedicine
%K digital health
%K mobile phone
%D 2023
%7 6.12.2023
%9 Review
%J JMIR Mhealth Uhealth
%G English
%X Background: There is growing interest in enhancing stroke self-management support using mobile health (mHealth) technology (eg, smartphones and apps). Despite this growing interest, “self-management support” is inconsistently defined and applied in the poststroke mHealth intervention literature, which limits efforts to synthesize and compare evidence. To address this gap in conceptual clarity, a scoping review was conducted. Objective: The objectives were to (1) identify and describe the types of poststroke mHealth interventions evaluated using a randomized controlled trial design, (2) determine whether (and how) such interventions align with well-accepted conceptualizations of self-management support (the theory by Lorig and Holman and the Practical Reviews in Self-Management Support [PRISMS] taxonomy by Pearce and colleagues), and (3) identify the mHealth functions that facilitate self-management. Methods: A scoping review was conducted according to the methodology by Arksey and O’Malley and Levac et al. In total, 7 databases were searched. Article screening and data extraction were performed by 2 reviewers. The data were analyzed using descriptive statistics and content analysis. Results: A total of 29 studies (26 interventions) were included. The interventions addressed 7 focal areas (physical exercise, risk factor management, linguistic exercise, activities of daily living training, medication adherence, stroke education, and weight management), 5 types of mobile devices (mobile phones or smartphones, tablets, wearable sensors, wireless monitoring devices, and laptops), and 7 mHealth functions (educating, communicating, goal setting, monitoring, providing feedback, reminding, and motivating). Collectively, the interventions aligned well with the concept of self-management support. However, on an individual basis (per intervention), the alignment was less strong. Conclusions: On the basis of the results, it is recommended that future research on poststroke mHealth interventions be more theoretically driven, more multidisciplinary, and larger in scale. 
%M 38055318
%R 10.2196/46558
%U https://mhealth.jmir.org/2023/1/e46558
%U https://doi.org/10.2196/46558
%U http://www.ncbi.nlm.nih.gov/pubmed/38055318