Evidence map›Paper›PMID 37101740›Full record

ReviewERJ open research2023

Impact of remote vital sign monitoring on health outcomes in acute respiratory infection and exacerbation of chronic respiratory conditions: systematic review and meta-analysis.

Samuel Thomas Creavin, Megha Garg, Alastair D Hay

Abstract readReview
In one paragraph

Review in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

3 authors.

Samuel Thomas CreavinCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, Bristol, UK.ORCID https://orcid.org/0000-0002-6772-7111
Megha GargCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, Bristol, UK.
Alastair D HayCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, Bristol, UK.ORCID https://orcid.org/0000-0003-3012-375X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Our aim was to investigate the effectiveness of virtual wards on health outcomes in patients with acute respiratory infection. Methods: We searched four electronic databases from January 2000 to March 2021 for randomised controlled trials (RCTs). We included studies in people with acute respiratory illness or an acute exacerbation of a chronic respiratory illness, where a patient or carer measured vital signs (oximetry, blood pressure, pulse) for initial diagnosis and/or asynchronous monitoring, in a person living in private housing or a care home. We performed random-effects meta-analysis for mortality. Results: We reviewed 5834 abstracts and 107 full texts. Nine RCTs were judged to be relevant for inclusion, in which sample sizes ranged from 37 to 389 (total n=1627) and mean ages ranged between 61 and 77 years. Five were judged to be at low risk of bias. Five RCTs had fewer hospital admissions in the intervention (monitoring) group, out of which two studies reported a significant difference. Two studies reported more admissions in the intervention group, with one reporting a significant difference. We were unable to perform a meta-analysis on healthcare utilisation and hospitalisation data due to lack of outcome definition in the primary studies and variable outcome measurements. We judged two studies to be at low risk of bias. The pooled summary risk ratio for mortality was 0.90 (95% CI 0.55-1.48). Conclusion: The limited literature for remote monitoring of vital signs in acute respiratory illness provides weak evidence that these interventions have a variable impact on hospitalisations and healthcare utilisation, and may reduce mortality.

Identifiers

PMID37101740
PMCPMC10123516

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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.