Evidence map›Paper›PMID 40979081›Full record

ArticleJournal of clinical and translational science2025

Feasibility and validation of a novel mobility monitoring sensor in hospitalized patients: A prospective cohort study.

Samuel Smith, Leah Steckler

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Samuel SmithGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.ORCID https://orcid.org/0009-0009-7746-7833
Leah StecklerGeorge Washington University School of Medicine and Health Sciences, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hospital-acquired pressure injuries (HAPIs) are a preventable source of patient harm, contributing to morbidity, mortality, and billions in healthcare costs. Risk assessment tools rely on subjective evaluation and may not accurately capture real-time mobility. Existing technologies have not been widely adopted and have failed to significantly reduce HAPI rates. Our study explores the feasibility of a novel, wireless mattress-attachable motion sensor designed for continuous mobility monitoring in hospitalized patients. Methods: Sensor accuracy was first validated against video analysis in three healthy volunteers. A single-arm prospective cohort study was then conducted in hospitalized patients. A motion sensor was attached to each patient's bed to continuously record movement. Sensor-derived mobility data were compared with nursing-assessed mobility scores and other patient characteristics. Simulated immobility alerts were generated based on periods of inactivity. Results: The sensor's movement detection strongly correlated with video-based analysis in three healthy volunteers ( Conclusions: The sensor system provides objective mobility data and overcomes limitations of current assessment tools. These findings support its potential role in pressure injury prevention and highlight key areas for future clinical integration.

Indexed as

Biomedical technologymobility limitationpatient monitoringpressure ulcersecondary disease preventionwireless sensing

Identifiers

PMID40979081
PMCPMC12444695

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.