Can emergency medicine research benefit from adaptive design clinical trials?

Abstract

Article:Flight, L. orcid.org/0000-0002-9569-8290, Julious, S.A. and Goodacre, S. orcid.org/0000-0003- 0803-8444 (2017) ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. Can emergency medicine research benefit from adaptive design clinical trials?

The present and future of cardiac arrest care: international experts reach out to caregivers and healthcare authorities

“…There is a need to accelerate the processes and efficiency of future trials. Adaptive trial designs which use accumulating data to inform changes to the study as it progresses may accelerate generation of knowledge and reduce cost [87]. However, this may be at the expense of the reliability of the treatment estimates derived from the trial [88].…”

Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions

“…We have assumed so far that each patient's outcome is observed before the next patient arrives. Although many trials satisfy this property (Flight et al 2017), Chick, Gans, and Yapar: Bayesian Sequential Learning for Correlated Interventions many trials do not. For the case of two-armed trials with a protocol that specifies a fixed duration delay, Chick et al (2017) solve for fully sequential stopping times with correlated arms by randomizing patients in pairs.…”

Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses

“…As such, most designs which incorporate RAR are typically formulated assuming so-called “immediate” patient responses ( Cheung et al, 2006 ; Biswas et al, 2008 , Section 3.7). Although this may be appropriate for some clinical contexts, such as trials of surgical interventions ( Rosenberger and Lachin, 2016 , Chapter 12), emergency medicine trials ( Flight et al, 2017 ), trials for diseases with a slow recruitment rate (e.g. rare diseases) or rapidly observed endpoint (e.g.…”