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Barriers to Adopting Evidence From Bayesian Adaptive Clinical Trials in Critical Care: A Randomized Experiment With
Brian E Malley1, Joel M Levin1, Jeremy M Kahn1
1Center for Research, Investigation, and Systems Modeling of Acute Illness (B. E. M., J. M. K., L. A. B., and D. T. H.), Department of Critical Care Medicine, the Joseph M. Katz Graduate School of Business (J. M. L.), University of Pittsburgh, Pittsburgh, PA; the Department of Emergency Medicine (B. E. M.), Maine Medical Center, Portland, ME; and the Rady School of Management (J. M. L.), University of California, San Diego, San Diego, CA.
CHEST Critical Care
|June 26, 2026
Summary
Intensivist physicians understood Bayesian adaptive trials less and questioned their validity more than frequentist trials. However, acceptance of trial results remained similar between the two methods.
Area of Science:
- Clinical Trials Methodology
- Bayesian Statistics in Medicine
- Critical Care Research
Background:
- Randomized clinical trials are essential but costly and time-consuming.
- Bayesian adaptive trials offer increased speed and efficiency, gaining traction in critical care.
- Complexity of Bayesian adaptive trials can hinder clinician interpretation of results.
Purpose of the Study:
- To compare intensivist physicians' perceptions, understanding, and acceptance of Bayesian adaptive versus traditional frequentist clinical trial results.
- To assess if identical trial data presented using different methodologies impacts physician interpretation.
Main Methods:
- A survey was conducted with US intensivists in March-April 2022.
- Participants were randomized to view a hypothetical sepsis drug trial abstract using either Bayesian adaptive or frequentist methods.
- Perceived understanding, validity, and acceptance were measured and compared using statistical tests.
Main Results:
- Physicians reported lower understanding of Bayesian adaptive methods and results compared to frequentist methods.
- Greater concerns regarding trial validity were noted in the Bayesian adaptive group.
- Acceptance of trial results, including drug effectiveness, was similar across both Bayesian adaptive and frequentist groups.
Conclusions:
- Despite lower perceived understanding and validity concerns, intensivist physicians showed no significant difference in accepting Bayesian adaptive trial results versus frequentist trial results.
- Bayesian adaptive trials may be viable in critical care settings, with further research needed on improving clinician comprehension.
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