Evidence map›Paper›PMID 40770059›Full record

ArticleScientific reports2025

Reimagining falls prevention with insights from systems mapping on the use of millimetre-wave radar for remote health monitoring.

Elif Dogu, José A Paredes, Akram Alomainy, Janelle M Jones, Khalid Z Rajab

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Elif DoguSchool of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK. e.dogu@qmul.ac.uk.ORCID https://orcid.org/0000-0003-4883-3450
José A ParedesSchool of Arts, Humanities and Social Sciences, University of Roehampton, London, SW15 5PU, UK.
Akram AlomainySchool of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.ORCID https://orcid.org/0000-0002-5802-9194
Janelle M JonesDepartment of Biological and Experimental Psychology, School of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK.
Khalid Z RajabSchool of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W03199X/1
6 · The paper itself

Abstract

Falls constitute a significant public health concern, demanding innovative solutions that transcend traditional methodologies. Current falls practice focuses on reactive post-fall assessment and management rather than proactive prevention and mitigation. We propose that millimetre-wave radar technology for real-time, continuous falls risk screening at home may address the limitations of current falls practice. To investigate the feasibility of this solution, we interviewed five experts in physiotherapy, falls prevention among older adults, and comprehensive geriatric assessment to identify the current state of play and potential for changes to falls practice. We applied a novel technique, systems mapping, to visually illustrate and analyse the interactions between components of current and proposed systems for addressing falls and constructed two conceptual maps: First, the current system was mapped by asking experts about the causal relationships between 15 system components. Second, to examine the feasibility of the proposed system, the components related to falls risk screening were replaced by radar-based home monitoring and experts were asked to re-evaluate the causal relationships between system components. Next, four scenarios (no fear of falling, no mobility limitation, maximising screening in the current system, maximising radar-based screening) were applied using the maps. Experts identified mobility deterioration and previous falls as key indicators of future falls, noting that increased screening in current practice could reduce risks but increase healthcare professionals' workloads. Experts were positive about radar-based wireless home monitoring, believing it could reduce fall risks whilst reducing all fall-related costs. These findings suggest that, according to experts, millimetre-wave radar can be an effective solution in advancing falls prevention.

Indexed as

Accidental FallsRadarRemote Sensing TechnologyAgedFemaleGeriatric AssessmentHumansMaleAmbient sensingDigital health technology toolFalls risk assessmentFuzzy cognitive mapsHealth informaticsmm-wave radar

Identifiers

PMID40770059
PMCPMC12328740

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.