Evidence map›Paper›PMID 42789931›Full record

ArticleJMIR formative research2026

Remote Vital Sign Monitoring in Acutely Unwell Hospital at Home Patients: Nonrandomized Feasibility Study.

Rachel C Greer, Cristian Roman, Mayue Shi, Benn Gooch, Bethany K Lawson, Christopher Biggs, Clare Edwards, Sarah Vollam, Peter Watkinson, Lionel Tarassenko and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

12 authors.

Rachel C GreerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England, United Kingdom.ORCID 0000-0001-9327-0234
Cristian RomanNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0002-9164-8659
Mayue ShiNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0001-8539-6873
Benn GoochNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England, United Kingdom.ORCID 0000-0002-3487-3585
Bethany K LawsonNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0009-0003-9524-9502
Christopher BiggsNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0003-0348-5480
Clare EdwardsNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0002-9902-2044
Sarah VollamNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0003-2835-6271
Peter WatkinsonNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0003-1023-3927
Lionel TarassenkoNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0002-0118-1646
Andrew FarmerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England, United Kingdom.ORCID 0000-0002-6170-4402
Daniel LassersonNIHR Oxford Biomedical Research Centre, Oxford, England, United Kingdom.ORCID 0000-0001-8274-5580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRemote vital sign monitoring of acute hospital at home (aHAH) patients is recommended in policy without clear guidance on implementation. While such monitoring has the potential to improve patient care, there is limited evidence for its feasibility and acceptability.

objectiveThis study aimed to evaluate the feasibility and acceptability of using a remote, community-based monitoring system using a vital sign wearable patch and pulse oximeter in aHAH patients.

methodsIn this nonrandomized feasibility study, we recruited patients from an aHAH service in Oxford, United Kingdom, between January and October 2024. Eligible patients were aged 18 years and older with an acute illness (lower respiratory tract infection, cellulitis, urinary tract infection, systemic evidence of acute infection, acute kidney injury, or heart failure with acute fluid overload) requiring aHAH care. Pregnant women and those with contraindications to monitoring were excluded. Participants were asked to wear a chest patch to estimate their heart rate and respiratory rate (passive monitoring), and to intermittently check their oxygen saturations, blood pressure, and temperature (active monitoring). Participants were asked to complete a Technology Acceptance Questionnaire. All aHAH patients were screened. Recruitment was nonconsecutive due to the availability of the research team. Participants were monitored for 7 days or until discharge from the aHAH service, whichever was shorter. Fixed time windows were used to assess real-time vital sign data coverage during each participant's monitoring period. The primary outcomes were the proportion of 4-hour monitoring windows with a recorded heart rate and 12-hour daytime windows with a recorded oxygen saturation level. Time-series analyses and descriptive statistics were used for quantitative data. Content analysis was used to analyze the open-ended comments in the questionnaire.

resultsIn total, 29 participants were recruited and 3 immediately withdrew from the study. Participants were monitored for 4.8 (IQR 2.9-6.2) days on average. Overall, 89% (600/674) of the 4-hour monitoring windows had a heart rate and 75.4% (508/674) had a respiratory rate recorded in real-time. For the 12-hour daytime windows, 58.1% (75/129) had an oxygen saturation, 54.3% (70/129) had a blood pressure, and 51.2% (66/129) had a temperature recorded. Data coverage was higher for passive monitoring compared to active monitoring. Most participants who had capacity found the combined monitoring system easy to use and thought it was useful for their health care.

conclusionsRemote monitoring of vital signs in aHAH patients is feasible. Good data coverage was achieved for the passive monitoring, which did not require specific actions by the participants or their caregivers. Further work is required to ascertain which patients would benefit most from this monitoring.

Indexed as

Vital SignsAdultAgedAged, 80 and overFeasibility StudiesFemaleHeart RateHumansMaleMiddle AgedMonitoring, PhysiologicOximetryRemote Patient MonitoringRespiratory RateSurveys and QuestionnairesUnited Kingdomhospital at homeremote monitoringvirtual wardsvital signswearables

Identifiers

PMID42789931
PMCPMC13653201

What OpenQuestion holds

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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.