Evidence map›Paper›PMID 40293791›Full record

ArticleJMIR research protocols2025

Feasibility of Using Resting Heart Rate and Step Counts From Patient-Held Sensors During Clinical Assessment of Medical Emergencies (FUSE): Protocol for Prospective Observational Study in European Hospitals.

Jack Barrington, Christian Subbe, John Kellett, Erika Frischknecht Christensen, Mikkel Brabrand, Prabath Nanayakkara, Jelmer Alsma

Abstract read
In one paragraph

Article in JMIR research protocols, 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. Observational
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

7 authors.

Jack BarringtonDepartment of Acute Medicine, Ysbyty Gwynedd, Bangor, United Kingdom.ORCID 0000-0002-9453-9458
Christian SubbeDepartment of Acute Medicine, Ysbyty Gwynedd, Bangor, United Kingdom.ORCID 0000-0002-3110-8888
John KellettSchool of Health and Social Care, University of Bolton, Bolton, United Kingdom.ORCID 0000-0002-4741-9242
Erika Frischknecht ChristensenCentre for Prehospital and Emergency Research, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0003-3673-9694
Mikkel BrabrandResearch Unit for Emergency Medicine, Odense University Hospital, Odense, Denmark.ORCID 0000-0002-3340-8251
Prabath NanayakkaraAmsterdam University Medical Centre, Vree University Medical Centre, Amsterdam, The Netherlands.ORCID 0000-0002-1555-3682
Jelmer AlsmaDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.ORCID 0000-0002-2808-1514

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormalities of vital signs are quantified by comparison with normal ranges, which are those observed in resting healthy populations. It might be more appropriate to compare the vital sign values of an individual in distress with their own usual values recorded when they were stable and well. Sensors from smartwatches or smartphones might make this possible at scale, but the proportion of patients using them is not known.

objectiveThis study aimed to assess the feasibility of using heart rate and mobility data from patients' own wearable sensors as part of clinical assessments at the time of presentation to hospitals with medical emergencies, and to quantify the difference between heart rate and the change in daily steps taken by the patient on admission to acute care compared with the previously recorded values at home.

methodsThis is an international, multicenter observational study using the flashmob research design. The study will recruit patients aged 18 years and older who present to emergency departments, acute medical departments, or ambulatory emergency care with an acute medical complaint. Main end points of the study include the proportion of patients assessed for an acute complaint who use wearable devices to record vital signs. The study will describe the population that uses devices that collect vital signs in terms of sex, age group, digital literacy, and the severity of illness on presentation (as measured by a standard set of vital signs and frailty). Trends in heart rate and step counts measured in the month before presentation to acute care services will be reported according to discharge or admission status. Data will be collected during a pilot phase and during a single week in centers across Europe.

resultsThe study has been registered and passed the required approvals in the Netherlands Medical Ethics Committee (MEC-2022-0795) and the United Kingdom Integrated Research Application System (IRAS 321129). Based on the results of a pilot study performed at a single site in the United Kingdom, a flashmob study has been concluded in hospitals throughout Europe in May 2024 and reported in 2025.

conclusionsWith the increasing availability of consumer held devices able to record medically relevant information this study will provide information about the availability of these data for clinical use in a number of European settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/55975.

Indexed as

Heart RateWearable Electronic DevicesAdultEmergenciesEmergency Service, HospitalEuropeFeasibility StudiesFemaleHospitalsHumansMaleMonitoring, PhysiologicObservational Studies as TopicProspective StudiesVital Signsclinical assessmentdevicedistressemergenciesfeasibilityheart ratehospital admissionintensive caremedical emergencymHealthmobilitymobility datasmart watchstep countvital signswearableswearable sensors

Identifiers

PMID40293791
PMCPMC12070009

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Registered trials

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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.