Evidence map›Paper›PMID 34401185›Full record

ReviewArrhythmia & electrophysiology review2021

Remote Clinics and Investigations in Arrhythmia Services: What Have We Learnt During Coronavirus Disease 2019?

Shohreh Honarbakhsh, Simon Sporton, Christopher Monkhouse, Martin Lowe, Mark J Earley, Ross J Hunter

Abstract readReview
In one paragraph

Review in Arrhythmia & electrophysiology review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Digital healthcare: the future.Future healthcare journal · 2022
    Article
  4. Wearable remote monitoring and COVID-19.Clinical and translational science · 2022
    Article
  5. 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

6 authors.

Shohreh HonarbakhshDepartment of Arrhythmia Management, Barts Heart Centre, Barts Health NHS Trust, London, UK.
Simon SportonDepartment of Arrhythmia Management, Barts Heart Centre, Barts Health NHS Trust, London, UK.
Christopher MonkhouseDepartment of Arrhythmia Management, Barts Heart Centre, Barts Health NHS Trust, London, UK.
Martin LoweDepartment of Arrhythmia Management, Barts Heart Centre, Barts Health NHS Trust, London, UK.
Mark J EarleyDepartment of Arrhythmia Management, Barts Heart Centre, Barts Health NHS Trust, London, UK.
Ross J HunterDepartment of Arrhythmia Management, Barts Heart Centre, Barts Health NHS Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has had a dramatic impact on the way that medical care is delivered. To minimise hospital attendance by both patients and staff, remote clinics, meetings and investigations have been used. Technologies including hand-held ECG monitoring using smartphones, patch ECG monitoring and sending out conventional Holter monitors have aided remote investigations. Platforms such as Google Meet and Zoom have allowed remote multidisciplinary meetings to be delivered effectively. The use of phone consultations has allowed outpatient care to continue despite the pandemic. The COVID-19 pandemic has resulted in a radical, and probably permanent, change in the way that outpatient care is delivered. Previous experience in remote review and the available technologies for monitoring have allowed the majority of outpatient care to be conducted without obviously compromising quality or safety.

Indexed as

Arrhythmiasatrial fibrillationcoronavirusCOVID-19electrocardiogrammonitoringremote clinics

Identifiers

PMID34401185
PMCPMC8335855

What OpenQuestion holds

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LicenceCC BY-NC
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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.