Digital and technology‑enabled approaches for post‑stroke fatigue: A scoping review protocol
- 1Nursing Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
- 2Emergency Department, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Abstract
Background: Post‑stroke fatigue (PSF) affects approximately 50% of stroke survivors and is one of the most common and disabling post‑stroke sequelae. Digital and technology‑enabled approaches have attracted increasing attention in the field of stroke rehabilitation, including mobile health applications (mHealth), wearable devices, virtual reality (VR), remote rehabilitation, artificial intelligence (AI), and neuromodulation technologies. However, no comprehensive scoping review has systematically mapped the full spectrum of evidence on digital and technology‑enabled approaches for PSF. Methods: This scoping review will follow the Joanna Briggs Institute (JBI) methodology for scoping reviews, be guided by the Population, Concept, Context (PCC) framework, and be reported according to the Preferred Reporting Items for Systematic Review and Meta‑Analysis Protocols (PRISMA‑P) and the Preferred Reporting Items for Systematic reviews and Meta‑Analyses extension for Scoping Reviews (PRISMA‑ScR). Eight electronic databases (PubMed, Embase, Web of Science, CINAHL, Cochrane CENTRAL, IEEE Xplore, ACM Digital Library, and PsycINFO) and five gray literature sources (OpenGrey, ProQuest Dissertations and Theses Global, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform, and Google Scholar) will be searched. Two reviewers will use NoteExpress to remove duplicates and manage references, and will independently screen titles, abstracts, and full texts. After pilot testing, data will be extracted independently by the two reviewers. Synthesis will involve descriptive numerical summaries and inductive qualitative content analysis. Inter‑rater agreement will be assessed during a calibration phase. The expected output is an evidence map organized by approach category and purpose (assessment, monitoring, prevention, and treatment), which will identify knowledge gaps and guide future research. Registration: This protocol has been registered on the Open Science Framework (OSF). Registration DOI (https://doi.org/10.17605/OSF.IO/4WMEK).
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BibTeX
@article{huang2026digital,
title = {{Digital and technology‑enabled approaches for post‑stroke fatigue: A scoping review protocol}},
author = {Xiangdong Huang and Jiangmei Xu and Lingmin Wang and Shiting Huang and Xiaoping Zhu},
journal = {PLOS One},
year = {2026},
month = oct,
doi = {10.1371/journal.pone.0352714},
url = {https://doi.org/10.1371/journal.pone.0352714},
note = {CC BY},
}
RIS
TY - JOUR
TI - Digital and technology‑enabled approaches for post‑stroke fatigue: A scoping review protocol
AU - Xiangdong Huang
AU - Jiangmei Xu
AU - Lingmin Wang
AU - Shiting Huang
AU - Xiaoping Zhu
PY - 2026
DA - 2026/10/29
JO - PLOS One
DO - 10.1371/journal.pone.0352714
UR - https://doi.org/10.1371/journal.pone.0352714
AB - Background: Post‑stroke fatigue (PSF) affects approximately 50% of stroke survivors and is one of the most common and disabling post‑stroke sequelae. Digital and technology‑enabled approaches have attracted increasing attention in the field of stroke rehabilitation, including mobile health applications (mHealth), wearable devices, virtual reality (VR), remote rehabilitation, artificial intelligence (AI), and neuromodulation technologies. However, no comprehensive scoping review has systematically mapped the full spectrum of evidence on digital and technology‑enabled approaches for PSF. Methods: This scoping review will follow the Joanna Briggs Institute (JBI) methodology for scoping reviews, be guided by the Population, Concept, Context (PCC) framework, and be reported according to the Preferred Reporting Items for Systematic Review and Meta‑Analysis Protocols (PRISMA‑P) and the Preferred Reporting Items for Systematic reviews and Meta‑Analyses extension for Scoping Reviews (PRISMA‑ScR). Eight electronic databases (PubMed, Embase, Web of Science, CINAHL, Cochrane CENTRAL, IEEE Xplore, ACM Digital Library, and PsycINFO) and five gray literature sources (OpenGrey, ProQuest Dissertations and Theses Global, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform, and Google Scholar) will be searched. Two reviewers will use NoteExpress to remove duplicates and manage references, and will independently screen titles, abstracts, and full texts. After pilot testing, data will be extracted independently by the two reviewers. Synthesis will involve descriptive numerical summaries and inductive qualitative content analysis. Inter‑rater agreement will be assessed during a calibration phase. The expected output is an evidence map organized by approach category and purpose (assessment, monitoring, prevention, and treatment), which will identify knowledge gaps and guide future research. Registration: This protocol has been registered on the Open Science Framework (OSF). Registration DOI (https://doi.org/10.17605/OSF.IO/4WMEK).
SN - 1932-6203
ER -