Evidence map›Paper›PMID 40242279›Full record

ArticleBMC digital health2025

The completeness, accuracy and impact on alerts, of wearable vital signs monitoring in hospitalised patients.

Anthony J Wilson, Alexander J Parker, Gareth B Kitchen, Andrew Martin, Lukas Hughes-Noehrer, Mahesh Nirmalan, Niels Peek, Glen P Martin, Fiona C Thistlethwaite

Registry-linked trialAbstract read
In one paragraph

Article in BMC digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04581031 (COntinuous Signs Monitoring In Covid-19 Patients), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT04581031 nacompletednot on this map

COntinuous Signs Monitoring In Covid-19 Patients

TypeinterventionalSponsorThe Christie NHS Foundation TrustRan2020 to 2022Enrolled48ConditionsCOVID-19ArmsContinuous vital sign monitoring - Isansys Patient Status Engine, Machine Learning/AI Algorithm
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

9 authors.

Anthony J WilsonDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0001-7482-5337
Alexander J ParkerAdult Critical Care, Manchester University NHS Foundation Trust, Manchester, UK.ORCID 0000-0002-0279-3257
Gareth B KitchenAdult Critical Care, Manchester University NHS Foundation Trust, Manchester, UK.ORCID 0000-0001-5070-3183
Andrew MartinAdult Critical Care, Manchester University NHS Foundation Trust, Manchester, UK.ORCID 0000-0002-8038-0255
Lukas Hughes-NoehrerAdult Critical Care, Manchester University NHS Foundation Trust, Manchester, UK.ORCID 0000-0002-9167-0397
Mahesh NirmalanAdult Critical Care, Manchester University NHS Foundation Trust, Manchester, UK.ORCID 0000-0003-1184-9432
Niels PeekDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-6393-9969
Glen P MartinDivision of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID 0000-0002-3410-9472
Fiona C ThistlethwaiteThe Christie NHS Foundation Trust, Manchester, UK.ORCID 0000-0002-4832-7008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Use of wearable vital signs sensors (WVSSs) to monitor hospitalised patients is growing but uncertainty exists about how such sensors should be adopted into existing practice. The aim of this observational study was to determine the completeness of data capture and accuracy of measurements recorded by a suite of WVSSs. The implications of using such measurements to derive early warning scores was also assessed. Methods: Adult inpatients with Covid-19 wore four WVSSs recording heart rate/respiratory rate (HR/RR), oxygen saturation (SpO Results: Forty-eight patients were monitored for 204 days with the sensors. Median sensor wear was 3.9(IQR:1.7-5.9), 3.9(IQR:1.6-5.9) and 3.8(IQR:0.9-5.9) days for HR/RR, temperature and SpO Conclusions: Agreement between vital signs recorded by wearable sensors and concurrent traditional vitals is poor. In this context, data from wearable sensors should not be used in existing track and trigger systems. Trial registration: The COSMIC-19 study was registered with clinicaltrials.gov (registration: NCT04581031, date of registration: Oct 6th 2020). Supplementary Information: The online version contains supplementary material available at 10.1186/s44247-025-00151-x.

Indexed as

Covid-19Early warning scoring systemsSARS-CoV-2Vital signs monitoringWearable sensors

Identifiers

PMID40242279
PMCPMC11997001

What OpenQuestion holds

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LicenceCC BY
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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.