2020
DOI: 10.1183/16000617.0310-2020
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Guidance production before evidence generation for critical issues: the example of COVID-19

Abstract: The coronavirus disease 2019 (COVID-19) pandemic has inflicted a considerable pressure on populations, healthcare systems and community organisations worldwide, due to the fast spread of the disease and its huge global burden of morbidity and mortality, healthcare resource consumption, and societal and economic implications [1]. Since its appearance in December 2019, it has become rapidly obvious that this new disease behaves very differently from previously known viral pneumonias in terms of risk factors, bio… Show more

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Cited by 6 publications
(4 citation statements)
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“…This agility was seen in various places around the world, as the pandemic complicated the process of evidence-informed decision-making (EIDM), not to mention studies and syntheses surrounding EIDM (Munn et al, 2020 ). Because of the virus’s extremely rapid spread, the enormous burden of morbidity and mortality, and the major implications for health system resources (Roche et al, 2020 ), important decisions had to be made in haste. This situation has greatly encouraged decision-makers to rely on evidence (Munn et al, 2020 ) in order to reduce the risk of transmission and limit mortality.…”
Section: Introductionmentioning
confidence: 99%
“…This agility was seen in various places around the world, as the pandemic complicated the process of evidence-informed decision-making (EIDM), not to mention studies and syntheses surrounding EIDM (Munn et al, 2020 ). Because of the virus’s extremely rapid spread, the enormous burden of morbidity and mortality, and the major implications for health system resources (Roche et al, 2020 ), important decisions had to be made in haste. This situation has greatly encouraged decision-makers to rely on evidence (Munn et al, 2020 ) in order to reduce the risk of transmission and limit mortality.…”
Section: Introductionmentioning
confidence: 99%
“…An important source of variability in trial design could arise from the outcomes (endpoints) that are selected for evaluation. Heterogeneity in trial outcomes and omission of outcomes that are critically important to patients and clinicians complicate interpreting, comparing and synthesizing trial results, potentially delaying the introduction of novel, life-saving treatments into clinical practice [ 4 , 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…The COVID-19 pandemic has posed significant challenges to evidence-informed decision-making and the development of evidence syntheses to support it [ 3 ]. Because of the rapid spread of the virus, the burden of morbidity and mortality, and the significant implications for health systems resources [ 4 ], important decisions had to be made urgently. This situation has created a strong incentive for policy-makers to use evidence [ 3 ] to reduce the risk of transmission and limit mortality.…”
Section: Introductionmentioning
confidence: 99%
“…This put a lot of pressure on the teams responsible for producing evidence syntheses and making recommendations to decision-makers, health professionals and the public. They had to provide timely guidelines in a context of great uncertainty, in an emerging field, and using sometimes unconventional data [ 3 , 4 ].…”
Section: Introductionmentioning
confidence: 99%