Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent.
Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent.
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DOI:
10.1136/bmjebm-2022-111952
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发表时间:
2022-07-19
影响因子:
5.8
通讯作者:
Macintyre, Chandini Raina
中科院分区:
文献类型:
--
作者:
Greenhalgh, Trisha;Fisman, David;Cane, Danielle J.;Oliver, Matthew;Macintyre, Chandini Raina
Evidence-based medicine (EBM’s) traditional methods, especially randomised controlled trials (RCTs) and meta-analyses, along with risk-of-bias tools and checklists, have contributed significantly to the science of COVID-19. But these methods and tools were designed primarily to answer simple, focused questions in a stable context where yesterday’s research can be mapped more or less unproblematically onto today’s clinical and policy questions. They have significant limitations when extended to complex questions about a novel pathogen causing chaos across multiple sectors in a fast-changing global context. Non-pharmaceutical interventions which combine material artefacts, human behaviour, organisational directives, occupational health and safety, and the built environment are a case in point: EBM’s experimental, intervention-focused, checklist-driven, effect-size-oriented and deductive approach has sometimes confused rather than informed debate. While RCTs are important, exclusion of other study designs and evidence sources has been particularly problematic in a context where rapid decision making is needed in order to save lives and protect health. It is time to bring in a wider range of evidence and a more pluralist approach to defining what counts as ‘high-quality’ evidence. We introduce some conceptual tools and quality frameworks from various fields involving what is known as mechanistic research, including complexity science, engineering and the social sciences. We propose that the tools and frameworks of mechanistic evidence, sometimes known as ‘EBM+’ when combined with traditional EBM, might be used to develop and evaluate the interdisciplinary evidence base needed to take us out of this protracted pandemic. Further articles in this series will apply pluralistic methods to specific research questions.
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DOI:
10.1056/nejmoa2022926
发表时间:
2020-11-19
期刊:
The New England journal of medicine
影响因子:
--
作者:
RECOVERY Collaborative Group;Horby P;Mafham M;Linsell L;Bell JL;Staplin N;Emberson JR;Wiselka M;Ustianowski A;Elmahi E;Prudon B;Whitehouse T;Felton T;Williams J;Faccenda J;Underwood J;Baillie JK;Chappell LC;Faust SN;Jaki T;Jeffery K;Lim WS;Montgomery A;Rowan K;Tarning J;Watson JA;White NJ;Juszczak E;Haynes R;Landray MJ
通讯作者:
Landray MJ
影响因子:
2.3
作者:
Fedak KM;Bernal A;Capshaw ZA;Gross S
通讯作者:
Gross S
DOI:
10.1001/jama.1992.03490170092032
发表时间:
1992-11-04
影响因子:
120.7
作者:
GUYATT, G
通讯作者:
GUYATT, G
影响因子:
17.1
作者:
Konda, Abhiteja;Prakash, Abhinav;Guha, Supratik
通讯作者:
Guha, Supratik
DOI:
10.1016/s0140-6736(21)00869-2
发表时间:
2021-05-01
期刊:
Lancet (London, England)
影响因子:
--
作者:
Greenhalgh T;Jimenez JL;Prather KA;Tufekci Z;Fisman D;Schooley R
通讯作者:
Schooley R