2021
DOI: 10.1002/lrh2.10280
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Developing a rapid evidence response toCOVID‐19: The collaborative approach of Saskatchewan, Canada

Abstract: Introduction The COVID‐19 Evidence Support Team (CEST) was a provincial initiative that combined the support of policymakers, researchers, and clinical practitioners to initiate a new learning health cycle (LHS) in response to the pandemic. The primary aim of CEST was to produce and sustain the best available COVID‐19 evidence to facilitate decision‐making in Saskatchewan, Canada. To achieve this objective, four provincial organizations partnered to establish a single, data‐driven system. … Show more

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Cited by 10 publications
(31 citation statements)
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References 18 publications
(46 reference statements)
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“… 6 , 17 Initiatives like CEST require institutional commitment, funding, and further integration within the healthcare structure. 19 This formative evaluation assessed user feedback on the challenges and benefits of CEST to improve the design of an LHS with the intent to enhance future healthcare outcomes.…”
Section: Discussionmentioning
confidence: 99%
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“… 6 , 17 Initiatives like CEST require institutional commitment, funding, and further integration within the healthcare structure. 19 This formative evaluation assessed user feedback on the challenges and benefits of CEST to improve the design of an LHS with the intent to enhance future healthcare outcomes.…”
Section: Discussionmentioning
confidence: 99%
“… 19 By coordinating weekly with the EOC chair, CEST's objectives were to (1) establish a rapid review process to support decision‐making, (2) create an online repository for knowledge sharing, and (3) initiate a learning health system in the province. 19 Clinical experts assessed the quality and confidence of the literature, and in the case of uncertainty about a topic, CEST conducted iterative “evergreen” reviews. Three distinct CEST processes evaluated the evidence and created outputs: (1) team question prioritization, (2) question refinement with the assistance of clinical experts, library staff, and master's or PhD‐level researchers to identify a search strategy, and (3) literature synthesis for clinical experts.…”
Section: Methodsmentioning
confidence: 99%
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