Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent
- PMID: 35853682
- PMCID: PMC9510422
- DOI: 10.1136/bmjebm-2022-111952
Adapt or die: how the pandemic made the shift from EBM to EBM+ more urgent
Abstract
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.
Keywords: COVID-19; behavioral medicine; biomedical engineering; evidence-based practice.
© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Conflict of interest statement
Competing interests: TG is a member of Independent SAGE and an unpaid adviser to Balvi, a philanthropic fund. RM in the last 5 years has received funding from Sanofi and Seqirus for investigator driven research on influenza vaccines. She has been on advisory boards or consulted for COVID-19 vaccines for Seqirus, Janssen and Astra-Zeneca. She has received funding for an industry-linkage grant scheme from mask manufacturer Detmold and consulted for mask manufacturer Ascend Performance Technologies. DF has served on advisory boards related to influenza and SARS-CoV-2 vaccines for Seqirus, Pfizer, Astrazeneca and Sanofi-Pasteur Vaccines, and has served as a legal expert on issues related to COVID-19 epidemiology for the Elementary Teachers Federation of Ontario and the Registered Nurses Association of Ontario. DJC worked as a Clinical Specialist for the Canadian PPE Manufacturers Association between November 2021 and February 2022. She now serves as an executive board member with the Coalition of Healthcare Associated Infection Reduction (CHAIR), a volunteer, not-for-profit group, and is a co-founder of the volunteer grassroots group Community Access to Ventilation Information (CAVI) supporting public library CO2 monitor loaning programmes.
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References
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- Tresker S. Treatment Effectiveness and the Russo–Williamson Thesis, EBM+, and Bradford Hill’s Viewpoints. Int Stud Philos Sci 2022;33:1–28. 10.1080/02698595.2022.2054396 - DOI
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- Parkkinen V-P, Wallmann C, Wilde M. Evaluating evidence of mechanisms in medicine: principles and procedures. Springer Nature, 2018. - PubMed
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