ReviewNursing research and practice2026
Digital and Smart Technologies for Early Pressure Injury Detection and Prevention in Stroke and Mobility-Impaired Patients: A Scoping Review.
Review in Nursing research and practice, 2026. 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.
- Digital and Smart Technologies for Early Pressure Injury Detection and Prevention in Stroke and Mobility-Impaired Patients: A Scoping Review.Nursing research and practice · 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: Pressure injuries remain a major complication among stroke and other mobility-impaired populations. Digital and smart technologies are increasingly used to support early tissue-risk detection, monitoring, and prevention-related care processes. However, evidence remains dispersed across technology types, clinical functions, and care settings. Methods: This scoping review followed the Joanna Briggs Institute methodology and PRISMA-ScR guidance. PubMed/MEDLINE, ScienceDirect, CINAHL Complete via EBSCOhost, IEEE Xplore, and Wiley Online Library were searched for English-language studies published from 1 January 2018 to 30 July 2025. Eligible studies involved digital or smart technologies used for early pressure injury detection, physiological risk monitoring, repositioning support, pressure redistribution, or prevention-related decision support in stroke or other mobility-impaired populations. Two reviewers screened records using Rayyan and charted study characteristics, technology functions, settings, and outcomes. Critical appraisal was not undertaken because the review aimed to map evidence rather than estimate effects. Results: Of 1063 identified records, 13 studies were included. Eight technology categories were mapped: subepidermal moisture scanners, pressure ulcer monitoring platform devices, comprehensive mobile assessment of pressure, artificial intelligence-enabled smartphone applications, artificial intelligence-powered smart decompression mattresses, Internet of Things-based smart bed systems, infrared thermography, and digital skin moisture monitoring. Subepidermal moisture scanners were the only technology represented by multiple studies (6/13); all other categories were represented by single studies. Reported outcomes mainly involved diagnostic support, repositioning adherence, feasibility, and workflow-related measures. Direct evidence on pressure injury incidence was limited and heterogeneous. Most studies were hospital-based, with very limited community or home-care evidence. Conclusion: Digital and smart technologies may support earlier recognition of pressure-related tissue changes and selected prevention-related care processes, particularly in hospitals. However, evidence remains heterogeneous and insufficient to support strong effectiveness claims across technology types. Implications: Future research should prioritize clear prevention outcomes, comparative and implementation studies, and community-based testing before considering meta-analysis.
Indexed as
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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.