Online Community Support for Stroke Survivors and Caregivers: Scoping Review
Clinical Snapshot
PICO Framework
| P — Population | Stroke survivors and their caregivers |
| I — Intervention | Online community support platforms and digital technologies |
| C — Comparator | Not applicable (scoping review) |
| O — Outcomes | Key design elements, actors, types of support, and supporting technologies in online stroke communities |
Bottom Line
This comprehensive scoping review of 77 studies identifies three key actor groups in online stroke support communities: caregivers (most prominent), healthcare workers, and local community members. The review reveals that these communities primarily provide informational support through advice-giving and tangible aids, followed by social support for belonging. Mobile health applications and web-based systems are the predominant technologies, though sophisticated tools like telerehabilitation and video-guided exercise apps show promise for professional users. The findings suggest that while caregivers mainly seek social connection rather than complex technology, healthcare professionals and community workers could benefit from more advanced digital tools. A significant gap exists in understanding cultural influences on technology adoption. For Australian clinicians, this review provides valuable insights for developing culturally appropriate online support systems that complement existing stroke care pathways and telehealth services.
Key Findings
Effect Size: Not applicable (descriptive scoping review)
Primary Outcome: Identification of key design elements for online stroke support communities
Nnt Or Sensitivity: 77 studies analysed across four main categories: digital support technologies (52), community functions (18), online systems (6), stroke ecosystem (1)
Clinical Application
High feasibility for implementation in Australian healthcare settings with existing digital health infrastructure Highly relevant to Australian stroke care pathways, particularly given National Stroke Foundation guidelines emphasising community support and telehealth initiatives under Medicare Benefits Schedule Stroke survivors, caregivers, healthcare professionals, and community support workers involved in post-stroke care
Abstract
BACKGROUND: Previous studies found that online communities are critical in supporting stroke survivors and caregivers for stroke recovery. However, it is unclear how such online communities are designed, or could be designed. OBJECTIVE: This review aims to identify the key design elements of an online community to support stroke survivors and caregivers, that is, the actors, types of community support, and supporting technologies. METHODS: We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines. We included journal articles related to online community support for stroke. Editorials, registers, opinion pieces, letters, and conference papers were excluded. Online databases PubMed/MEDLINE, Scopus, Web of Science, ScienceDirect, and ProQuest were searched for articles published from January 2015 to June 2025. Articles were screened based on the title, abstract, and full text using Covidence software. After screening and full-text review, we read the selected articles in detail to analyze and synthesize information on key actors, types of support, and technologies used to support stroke survivors and caregivers. RESULTS: A total of 77 articles were included. These articles discussed digital support technologies (52 articles), community functions and roles (18 articles), online stroke community systems (6 articles), and the stroke ecosystem (1 article). Our review found that the online community of support for stroke survivors and caregivers includes the caregivers themselves (46 articles), health workers (24 articles), and the local community/society (14 articles). Online communities mainly provide informational support, including giving advice (28 articles) and tangible aids (29 articles), followed by social support to create a sense of belonging (26 articles). Technologies discussed included mobile health (25 articles), web-based systems (12 articles), virtual/augmented reality (8 articles), sensors/wearable technology (8 articles), video-guided exercise apps (4 articles), and telehealth/telerehabilitation/teleconsultation/telestroke (4 articles). Only one examined how cultural differences influence technology. CONCLUSIONS: Although technologies are essential in online communities of support for stroke survivors and caregivers, this review shows a lack of studies that analyze the use and role of technologies in such online communities. This could be because the key actors of the online communities are the caregivers, who mainly seek social support and therefore do not require sophisticated technology. Nevertheless, technologies such as telerehabilitation and video-guided exercise apps could be important for other actors, including the local community and health workers, to enable them to support stroke survivors and their caregivers.
References
- 1.Handayani, P. W., Alifia, K., Sutanto, J., Erlina, E., Davies, S. G., Mawuntu, A. H., Jusuf, M. I., & Warren, N. (2026). Online Community Support for Stroke Survivors and Caregivers: Scoping Review. Journal of Medical Internet Research, 28(4), e71190. https://doi.org/10.2196/71190
Related Research
Sleep medicine reviews
Machine and deep learning in REM sleep behavior disorder: a scoping review and analysis of reporting quality
3 Aug 2026
Neurological research
Federated deep learning model for epilepsy seizure detection using electroencephalogram (EEG) signal
2 Aug 2026
Journal of psychiatric research
Systematic review of machine learning and deep learning models for EEG-based detection of depression.
2 Aug 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service