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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http://dx.doi.org/10.3310/nihropenres.13307.2 | DOI Listing |
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Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri.
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January 2025
University of Padua, Laboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua, Italy.
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Design And Methods: A development and validation study based on cross-sectional design was undertaken.
J Health Econ
January 2025
Frontier Nursing University, United States of America.
Over 2005-2019, the number of neonatal intensive care units (NICUs) grew by 10%, and the number of NICU beds increased by 30%. This expansion in intensive care has raised concerns over unwarranted intensive care admissions. In this study, we examine whether the greater supply of NICUs causally raises admission rates.
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January 2025
Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.
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View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Orthopedics, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, PR China.
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