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

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-metho...

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Autores principales: Parr, Janette, Chen, Yen-Fu, Damery, Sarah, Grove, Amy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593317/
https://www.ncbi.nlm.nih.gov/pubmed/37881298
http://dx.doi.org/10.3310/nihropenres.13307.2
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author Parr, Janette
Chen, Yen-Fu
Damery, Sarah
Grove, Amy
author_facet Parr, Janette
Chen, Yen-Fu
Damery, Sarah
Grove, Amy
author_sort Parr, Janette
collection PubMed
description 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)
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spelling pubmed-105933172023-10-25 Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol Parr, Janette Chen, Yen-Fu Damery, Sarah Grove, Amy NIHR Open Res Study Protocol 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) F1000 Research Limited 2023-07-19 /pmc/articles/PMC10593317/ /pubmed/37881298 http://dx.doi.org/10.3310/nihropenres.13307.2 Text en Copyright: © 2023 Parr J et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Parr, Janette
Chen, Yen-Fu
Damery, Sarah
Grove, Amy
Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol
title Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol
title_full Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol
title_fullStr Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol
title_full_unstemmed Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol
title_short Public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol
title_sort public health intelligence challenges for local public health authorities responding to disease outbreaks: a mixed-methods systematic review protocol
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593317/
https://www.ncbi.nlm.nih.gov/pubmed/37881298
http://dx.doi.org/10.3310/nihropenres.13307.2
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