Evidence map›Paper›PMID 33870237›Full record

ArticleResuscitation plus2021

Can vital signs recorded in patients' homes aid decision making in emergency care? A Scoping Review.

Muhammad Hamza, Jelmer Alsma, John Kellett, Mikkel Brabrand, Erika F Christensen, Tim Cooksley, Harm R Haak, Prabath W B Nanayakkara, Hanneke Merten, Bo Schouten and 2 more

Open access · goldAbstract readScoping Review
In one paragraph

Article in Resuscitation plus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

12 authors at 9 institutions in 3 countries.

Muhammad HamzaDepartment of Acute Medicine, Ysbyty Gwynedd Hospital, Bangor, United Kingdom.
Jelmer AlsmaDepartment of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.
John KellettDepartment of Emergency Medicine, Hospital of South West Jutland, Esbjerg, Denmark.
Mikkel BrabrandDepartment of Emergency Medicine, Odense University Hospital, Odense, Denmark.
Erika F ChristensenCenter for Prehospital and Emergency Research, Clinic of Internal and Emergency Medicine, Aalborg University Hospital, Aalborg, Denmark.
Tim CooksleyDepartment of Acute Medicine, University Hospital of South Manchester, Manchester, United Kingdom.
Harm R HaakDepartment of Internal Medicine, Division of General Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
Prabath W B NanayakkaraSection of Acute Medicine, Department of Internal Medicine, Amsterdam Public Health research institute, Amsterdam University Medical Center, location VU University Medical Center, Amsterdam, The Netherlands.
Hanneke MertenDepartment of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam University Medical Center, location VU University Medical Center, Amsterdam, The Netherlands.
Bo SchoutenDepartment of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam University Medical Center, location VU University Medical Center, Amsterdam, The Netherlands.
Immo WeichertDepartment of Acute Medicine, Ipswich Hospital, East Suffolk and North Essex NHS Foundation Trust, Ipswich, United Kingdom.
Christian P SubbeSchool of Medical Sciences, Bangor University, Bangor, United Kingdom.
Aalborg University Hospital · DKAmsterdam UMC Location Vrije Universiteit Amsterdam · NLBangor University · GBEast Suffolk and North Essex NHS Foundation Trust · GBErasmus MC · NLHospital South West Jutland · DKMaastricht University · NLOdense University Hospital · DKYsbyty Gwynedd Hospital NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimUse of tele-health programs and wearable sensors that allow patients to monitor their own vital signs have been expanded in response to COVID-19. We aimed to explore the utility of patient-held data during presentation as medical emergencies.

methodsWe undertook a systematic scoping review of two groups of studies: studies using non-invasive vital sign monitoring in patients with chronic diseases aimed at preventing unscheduled reviews in primary care, hospitalization or emergency department visits and studies using vital sign measurements from wearable sensors for decision making by clinicians on presentation of these patients as emergencies. Only studies that described a comparator or control group were included. Studies limited to inpatient use of devices were excluded.

resultsThe initial search resulted in 896 references for screening, nine more studies were identified through searches of references. 26 studies fulfilled inclusion and exclusion criteria and were further analyzed. The majority of studies were from telehealth programs of patients with congestive heart failure or Chronic Obstructive Pulmonary Disease. There was limited evidence that patient held data is currently used to risk-stratify the admission or discharge process for medical emergencies. Studies that showed impact on mortality or hospital admission rates measured vital signs at least daily. We identified no interventional study using commercially available sensors in watches or smart phones.

conclusionsFurther research is needed to determine utility of patient held monitoring devices to guide management of acute medical emergencies at the patients' home, on presentation to hospital and after discharge back to the community.

Indexed as

COVID-19EmergencyTelehealthVital signsWearable

Identifiers

PMID33870237
PMCPMC8035051
OpenAlexW3155777508

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.