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Challenges of evidence synthesis during the 2020 COVID pandemic: a scoping review.
Khalil, Hanan; Tamara, Lotfi; Rada, Gabriel; Akl, Elie A.
  • Khalil H; School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia. Electronic address: H.khalil@larobe.edu.au.
  • Tamara L; Department of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, Canada.
  • Rada G; Epistemonikos Foundation, UC Evidence Centre, Pontificia Universidad Católica de Chile, Las Condes, Santiago, Chile.
  • Akl EA; Department of Internal Medicine, American University of Beirut, Beirut, Lebanon; Department of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, Canada.
J Clin Epidemiol ; 142: 10-18, 2022 02.
Article in English | MEDLINE | ID: covidwho-1492240
ABSTRACT

AIM:

The objectives of this scoping review are to identify the challenges to conducting evidence synthesis during the COVID-19 pandemic and to propose some recommendations addressing the identified gaps.

METHODS:

A scoping review methodology was followed to map the literature published on the challenges and solutions of conducting evidence synthesis using the Joanna Briggs Methodology of performing scoping review. We searched several databases from the start of the Pandemic in December 2019 until 10th June 2021.

RESULTS:

A total of 28 publications was included in the review. The challenges cited in the included studies have been categorised into four distinct but interconnected themes including upstream, Evidence synthesis, downstream and contextual challenges. These challenges have been further refined into issues with primary studies, databases, team capacity, process, resources, and context. Several proposals to improve the above challenges included transparency in primary studies registration and reporting, establishment of online platforms that enables collaboration, data sharing and searching, the use of computable evidence and coordination of efforts at an international level.

CONCLUSION:

This review has highlighted the importance of including artificial intelligence, a framework for international collaboration and a sustained funding model to address many of the shortcomings and ensure we are ready for similar challenges in the future.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Report / COVID-19 Type of study: Reviews Limits: Humans Language: English Journal: J Clin Epidemiol Journal subject: Epidemiology Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Report / COVID-19 Type of study: Reviews Limits: Humans Language: English Journal: J Clin Epidemiol Journal subject: Epidemiology Year: 2022 Document Type: Article