Lessons learnt: Undertaking rapid reviews on public health and social measures during a global pandemic.

COVID-19 modeling studies pandemic public health rapid review scoping review

Journal

Research synthesis methods
ISSN: 1759-2887
Titre abrégé: Res Synth Methods
Pays: England
ID NLM: 101543738

Informations de publication

Date de publication:
Sep 2022
Historique:
revised: 01 06 2022
received: 22 11 2021
accepted: 10 06 2022
pubmed: 16 6 2022
medline: 14 9 2022
entrez: 15 6 2022
Statut: ppublish

Résumé

Public health and social measures (PHSM) have been central to the COVID-19 response. Consequently, there has been much pressure on decision-makers to make evidence-informed decisions and on researchers to synthesize the evidence regarding these measures. This article describes our experiences, responses and lessons learnt regarding key challenges when planning and conducting rapid reviews of PHSM during the COVID-19 pandemic. Stakeholder consultations and scoping reviews to obtain an overview of the evidence inform the scope of reviews that are policy-relevant and feasible. Multiple complementary reviews serve to examine the benefits and harms of PHSM across different populations and contexts. Conceiving reviews of effectiveness as adaptable living reviews helps to respond to evolving evidence needs and an expanding evidence base. An appropriately skilled review team and good planning, coordination and communication ensures smooth and rigorous processes and efficient use of resources. Scientific rigor, the practical implications of PHSM-related complexity and likely time savings should be carefully weighed in deciding on methodological shortcuts. Making the best possible use of modeling studies represents a particular challenge, and methods should be carefully chosen, piloted and implemented. Our experience raises questions regarding the nature of rapid reviews and regarding how different types of evidence should be considered in making decisions about PHSM during a global pandemic. We highlight the need for readily available protocols for conducting studies on the effectiveness, unintended consequences and implementation of PHSM in a timely manner, as well as the need for rapid review standards tailored to "rapid" versus "emergency" mode reviewing.

Identifiants

pubmed: 35704478
doi: 10.1002/jrsm.1580
pmc: PMC9349463
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

558-572

Subventions

Organisme : WHO
Organisme : German Federal Ministry of Education and Research (BMBF)

Informations de copyright

© 2022 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd.

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Auteurs

Eva A Rehfuess (EA)

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.
Pettenkofer School of Public Health, Munich, Germany.

Jacob B Burns (JB)

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.
Pettenkofer School of Public Health, Munich, Germany.

Lisa M Pfadenhauer (LM)

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.
Pettenkofer School of Public Health, Munich, Germany.

Shari Krishnaratne (S)

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.
Pettenkofer School of Public Health, Munich, Germany.
Department of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

Hannah Littlecott (H)

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.
Pettenkofer School of Public Health, Munich, Germany.
DECIPHer (Centre for Development, Evaluation, Complexity and Implementation in Public Health Improvement), School of Social Sciences, Cardiff University, Cardiff, UK.

Joerg J Meerpohl (JJ)

Institute for Evidence in Medicine, Medical Center & Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Cochrane Germany, Cochrane Germany Foundation, Freiburg, Germany.

Ani Movsisyan (A)

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany.
Pettenkofer School of Public Health, Munich, Germany.

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