Evidence map›Paper›PMID 40418800›Full record

SynthesisJournal of medical Internet research2025

The Value of Remote Vital Signs Monitoring in Detecting Clinical Deterioration in Patients in Hospital at Home Programs or Postacute Medical Patients in the Community: Systematic Review.

Su-Ann Cheng, Shijie Ian Tan, Samuel Li Earn Goh, Stephanie Q Ko

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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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

4 authors.

Su-Ann Cheng *Department of Medicine, National University Hospital, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0009-0000-3346-6171
Shijie Ian Tan *Division of Advanced Internal Medicine, National University Hospital, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0003-4195-4970
Samuel Li Earn GohDepartment of Medicine, National University Hospital, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0003-3421-080X
Stephanie Q KoDivision of Advanced Internal Medicine, National University Hospital, National University Health System, Singapore, Singapore.ORCID https://orcid.org/0000-0002-1182-5791

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVital signs monitoring (VSM) is used in clinical acuity scoring systems (APACHE [Acute Physiology and Chronic Health Evaluation], NEWS2 [National Early Warning Score 2], and SOFA [Sequential Organ Failure Assessment]) to predict patient outcomes for early intervention. Current technological advances enable convenient remote VSM. While the role of VSM for ill, hospital ward-treated patients is clear, its role in the community for acutely ill patients in the hospital at home (HAH) or postacute setting (patients who have just been discharged from an acute hospital stay and at increased risk of deterioration) is less well defined.

objectiveWe assessed the efficacy of remote VSM for patients in the HAH or postacute setting.

methodsThis systematic review adhered to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. We searched studies in PubMed (MEDLINE), Embase, and Scopus. Studies focused on the postacute phase were included, as only 2 case series addressed the HAH setting. Risk of bias (ROB) was evaluated using the Cochrane Risk of Bias Tool for randomized controlled trials (RCTs), the Newcastle-Ottawa scale for observational studies, and the case methods outlined by Murad et al for case reports. The GRADE (Grading Recommendations Assessment, Development, and Evaluation) framework was used to assess the certainty of evidence. Outcomes of interest included hospital readmissions, mortality, patient satisfaction, and compliance. Risk ratios (RR) were used to measure effect sizes for readmission and mortality, with patient satisfaction and compliance reported descriptively.

resultsThe search yielded 5851 records, with 28 studies meeting eligibility criteria (8 RCTs, 7 cohort studies, and 13 case series). Two focused on HAH, while 26 studies addressed the postacute phase. Nineteen studies looked at heart failure, 3 studied respiratory conditions, and 6 studies studied other conditions. Meta-analysis was conducted with 6 studies looking at hospital readmission within 60 days and 4 studies at mortality within 30 days. Readmissions did not significantly decrease (RR 0.81, 95% CI 0.61-1.09; P=.16). Significant heterogeneity was observed for readmissions (I

conclusionsPublished data on the effects of remote VSM in acutely ill patients at home remains scarce. Future studies evaluating all common vital signs (heart rate, blood pressure, oxygen saturation, and temperature) with consistent monitoring frequencies and clear intervention protocols to better understand how to integrate remote VSM into HAH programs are needed.

trial registrationPROSPERO CRD42023388827; https://www.crd.york.ac.uk/PROSPERO/view/CRD42023388827.

Indexed as

Clinical DeteriorationHome Care ServicesVital SignsHumansMonitoring, Physiologicadmission avoidanceambulatory monitoringblood pressurecare deliveryearly supported dischargeheart ratehospital at homehospital dischargeoxygen saturationpostacute carepost hospitalPRISMApulse rateremote vital signs monitoringrespiratory ratetemperaturetransitional carevital signs

Identifiers

PMID40418800
PMCPMC12149774

What Socratic 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 Socratic graph.