Evidence map›Paper›PMID 37881298›Full record

ArticleNIHR open research2022

Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol.

Janette Parr, Yen-Fu Chen, Sarah Damery, Amy Grove

Abstract read
In one paragraph

Article in NIHR open research, 2022. 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

4 authors.

Janette ParrWarwick Medical School, The University of Warwick, Coventry, West Midlands, CV4 7AL, UK.ORCID https://orcid.org/0000-0002-0629-1596
Yen-Fu ChenWarwick Medical School, The University of Warwick, Coventry, West Midlands, CV4 7AL, UK.ORCID https://orcid.org/0000-0002-9446-2761
Sarah DameryInstitute of Applied Health Research, University of Birmingham, Birmingham, West Midlands, B15 2TT, UK.
Amy GroveWarwick Medical School, The University of Warwick, Coventry, West Midlands, CV4 7AL, UK.ORCID https://orcid.org/0000-0002-8027-7274

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Information management capacity is crucial for controlling risks from health emergencies. But little is known about how sub-national public health bodies overcome public health intelligence challenges when responding to disease outbreaks. This paper describes a protocol for a mixed-methods systematic review to fill this knowledge gap. In addition to describing the evidence base and characterising public health intelligence responses, it will explore reported facilitators and barriers to response. Methods: Research on sub-national Public Health Intelligence disease outbreak responses will be synthesised. The review will be limited to articles published in English, during or after 2019. Key electronic databases will be searched for peer-reviewed, primary research studies. Two reviewers will independently screen articles for relevance. Articles that refer to a public health intelligence response to a propagated disease outbreak by a sub-national Public Health Authority will be included. Quality assessment of included articles will be undertaken using published tools. Data integration will be by the Pillar Integration Process (PIP). Discussion: This review will describe and synthesise the recent literature on sub-national Public Health Authorities' responses to propagated disease outbreaks. The systematic design will limit bias and the inclusion of data from quantitative, qualitative and mixed-methods studies will ensure relevant evidence is considered regardless of the methodology used to produce it. The review is part of a larger research project which aims to explore the role of sub-national public health intelligence during the COVID-19 pandemic and investigate how public health intelligence preparedness could be improved in the future. This could provide information to support the development of training, preparedness indicators and/or ways of implementing directives. PROSPERO registration: CRD42022308042 (08/02/2022).

Indexed as

COVID-19Disease OutbreaksLocal GovernmentPublic HealthPublic Health AuthorityPublic Health InformaticsPublic Health IntelligencePublic Health Systems Research

Identifiers

PMID37881298
PMCPMC10593317

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.