Evidence map›Paper›PMID 38034344›Full record

ArticlePublic health in practice (Oxford, England)2023

Exploring community level multi-agency communication and collaboration during the emergency response to the covid-19 pandemic.

Rachel K Wilkinson, John G Richmond

Abstract read
In one paragraph

Article in Public health in practice (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Rachel K WilkinsonSheffield University - School of Health and Related Research, United Kingdom.
John G RichmondSheffield University - School of Health and Related Research, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study assesses multi-agency communication and collaboration during the community emergency response to the covid-19 pandemic. Study design: Qualitative case-study research. Methods: Semi-structured qualitative interviews were conducted with ten officers from organisations involved in the community response to the pandemic, at strategic or tactical level, within an English local authority (LA) area. Interviews were thematically analysed. Results: Horizontal (local/regional) communication and collaboration between the multi-agencies was found to be effective. Participants felt multi-agency groups had a sense of shared identity, partly from pre-existing relationships and a sense of shared common fate. The unified command model, with incident management co-chaired by the local authority, fire and police was found to support joint working, bolstering response effectiveness. There was frustration with vertical (national) communication and collaboration. Messages to local responders were often delivered via daily Government briefings to the public, meaning local responders had little time to consider and implement appropriate actions. Conclusions: The study provides new and impactful insights into the community response in an English MBC area during the Covid-19 pandemic. However, findings apply to any high-or-low-income country if their emergency planning/response considers community level integration with multiple-agencies to improve the public health emergency response. Set against existing international literature, show good command-and-control structures, including leadership, training and positive local culture were important for successful communication and collaboration between the multi-agencies. This study highlights some beneficial practices which support recovery and preparedness for future emergencies.

Indexed as

Civil contingency responseCommunication and collaborationCovid-19Emergency managementInteroperabilityMulti-agency

Identifiers

PMID38034344
PMCPMC10684797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.