ReviewmHealth2025
A scoping review of implementation determinants and strategy alignment patterns in mHealth interventions for stroke recurrence prevention between low and high resource settings.
Review in mHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Mobile Health Interventions Across the Stroke Care Continuum: A Scoping Review.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Stroke remains a major global health burden, with high recurrence rates despite preventability through standardized interventions. Mobile health (mHealth) interventions show promise in stroke recurrence prevention, yet mHealth implementation varies significantly across different resource settings. This study aimed to investigate implementation determinants and strategy alignment patterns in mHealth interventions for recurrent stroke prevention between low and high resource settings. Methods: Six databases [PubMed, Web of Science, Cochrane Library, Scopus, CNKI (China National Knowledge Infrastructure), and Wanfangdata] were searched for the publication period from January 2013 to December 2023. We included empirical studies and evidence syntheses of mHealth interventions for secondary stroke prevention with implementation descriptions, excluding those using specialized medical devices, robot-assisted interventions, or involving participants with significant comorbidities. Implementation determinants were coded using the Consolidated Framework for Implementation Research (CFIR) constructs, and implementation strategies were mapped using Expert Recommendations for Implementing Change (ERIC) taxonomy. Strategy-barrier alignment was summarized by comparing implemented versus expert-recommended strategies across settings. Statistical significance was assessed using non-parametric tests and bootstrap analyses, with sensitivity analyses accounting for study quality. Results: Fifty-five studies were included, with 52.7% conducted in low resource settings. 74.5% were published between 2019-2023, with randomized controlled trials (RCTs) being the most common study design (49.1%). Interventions primarily utilized smartphone applications (APPs) (49.1%) and instant messaging systems (IMS) (25.5%). Key CFIR determinants differed between resource settings. "Relative Advantage" (9/29 Conclusions: Implementation determinants and strategy adoption vary between low and high resource settings. Low-resource settings demonstrate significantly greater adoption of ERIC strategies. Context-tailored policies are critical to bridge know-do gaps in implementing stroke prevention intervention globally.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.