Evidence map›Paper›PMID 33941538›Full record

ArticleBMJ open quality2021

Grass-roots junior doctor communication network in response to the COVID-19 pandemic: a service evaluation.

Arun Sivananthan, Matthew Machin, Geiske Zijlstra, Alexander Harris, Shiva T Radhakrishnan, Peter Crook, Georgina Phillips, Max Christopher Denning, Nisha Patel, Georgina Russell and 3 more

Abstract read
In one paragraph

Article in BMJ open quality, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Arun SivananthanInstitute of Global Health Innovation, Imperial College London, London, UK arun.sivananthan@nhs.net.ORCID 0000-0002-1649-0150
Matthew MachinAcademic Section of Vascular Surgery, Department of Surgery and Cancer, Imperial College London, London, UK.
Geiske ZijlstraDepartment of Primary Care and Public Health, Imperial College London, London, UK.
Alexander HarrisAcademic Section of General Surgery, Department of Surgery and Cancer, Imperial College London, London, UK.
Shiva T RadhakrishnanDepartment of Gastroenterology and Hepatology, Imperial College Healthcare NHS Trust, London, UK.ORCID 0000-0002-8311-9714
Peter CrookDepartment of Gastroenterology and Hepatology, Imperial College Healthcare NHS Trust, London, UK.
Georgina PhillipsDepartment of Endocrinology and Metabolic Medicine, Imperial College Healthcare NHS Trust, London, UK.
Max Christopher DenningDepartment of Surgery and Cancer, Imperial College Healthcare NHS Trust, London, UK.ORCID 0000-0001-6215-6885
Nisha PatelInstitute of Global Health Innovation, Imperial College London, London, UK.
Georgina RussellDepartment of Respiratory Medicine, Imperial College Healthcare NHS Trust, London, UK.
Ara DarziInstitute of Global Health Innovation, Imperial College London, London, UK.
James KinrossAcademic Section of General Surgery, Department of Surgery and Cancer, Imperial College London, London, UK.
Ruth BrownDepartment of Emergency Medicine, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 was declared a worldwide pandemic on 11 March 2020. Imperial College Healthcare NHS Trust provides 1412 inpatient beds staffed by 1200 junior doctors and faced a large burden of COVID-19 admissions. LOCAL PROBLEM: A survey of doctors revealed only 20% felt confident that they would know to whom they could raise concerns and that most were getting information from a combination of informal work discussions, trust emails, social media and medical literature.

methodsThis quality improvement project was undertaken aligning with Standards for Quality Improvement Reporting Excellence 2.0 guidelines. Through an iterative process, a digital network (Imperial Covid cOmmunications Network; ICON) using existing smartphone technologies was developed. Concerns were collated from the junior body and conveyed to the leadership team (vertical-bottom-up using Google Form) and responses were conveyed from leadership to the junior body (vertical-top-down using WhatsApp and Zoom). Quantitative analysis on engagement with the network (members of the group and number of issues raised) and qualitative assessment (thematic analysis on issues) were undertaken.

resultsMembership of the ICON WhatsApp group peaked at 780 on 17 May 2020. 197 concerns were recorded via the Google Form system between 20 March and 14 June 2020. There were five overarching themes: organisational and logistics; clinical strategy concerns; staff safety and well-being; clinical (COVID-19) and patient care; and facilities. 94.4% of members agreed ICON was helpful in receiving updates and 88.9% agreed ICON improved collaboration.

conclusionsThis work demonstrates that a coordinated network using existing smartphone technologies and a novel communications structure can improve collaboration between senior leadership and junior doctors. Such a network could play an important role during times of pressure in a healthcare system.

Indexed as

CommunicationQuality ImprovementCOVID-19HumansMedical Staff, HospitalPandemicsSARS-CoV-2United Kingdomcommunicationhealthcare quality improvementleadershipmanagement

Identifiers

PMID33941538
PMCPMC8098294

What OpenQuestion holds

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LicenceCC BY-NC
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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.