scholarly journals Prevalence and Methodological Characteristics of Subgroup Analyses in Stepped Wedge Cluster Randomised Trials: Protocol for a Systematic Review

Author(s):  
Évèhouénou Lionel Adisso ◽  
Monica Taljaard ◽  
Louis-Paul Rivest ◽  
Hervé Tchala Vignon Zomahoun ◽  
Pierre Jacob Durand ◽  
...  

Abstract Background: The stepped wedge cluster randomised trial is an increasingly common trial design. The design can be useful for informing real-world clinical decision-making, including decisions about the effectiveness of interventions in particular subgroups. However, there is little existing guidance about how to perform subgroup analyses in the stepped wedge design. We aim to determine the prevalence of subgroup analyses and describe statistical methods used to perform them in stepped wedge cluster randomised trials.Methods: We will conduct a systematic review following the methodology recommended in the Cochrane Handbook for Systematic Reviews of Interventions. We report this protocol according to the PRISMA-P checklist. The protocol has been registered in the Open Science Framework. We will search for terms related to ‘stepped wedge’. Sources will be PubMed, Embase, PsycINFO, Web of Science, CINAHL, Cochrane Library, and Current Controlled Trials Register up to 16 October 2020. Studies will be eligible if they are written in English, involve human participants and are primary or secondary reports of planned or completed stepped wedge cluster randomised trials. Two reviewers will first screen the titles and abstracts, then full texts, to select studies that should be included in the review. Disagreements will be solved by consensus through discussion with a third reviewer. We will extract data related to study characteristics including presence or absence of subgroup analyses, characteristics of subgroup variables examined, statistical methods used to perform subgroup analyses, and adherence to the most consistently recommendations suggested for subgroup analyses in general including in clinical trials. We will perform a qualitative synthesis of the extracted data.Discussion: This protocol offers a reproducible and transparent procedure for a systematic review of the literature. It will provide a portrait of the frequency and types of subgroup analyses performed in stepped wedge cluster randomised trials. These results will inform the development of recommendations for subgroup analyses in such trials.Systematic review registration: This protocol has been registered on Open Science Framework, Registration ID: https://osf.io/2kwrz.

2017 ◽  
Vol 14 (1) ◽  
Author(s):  
Christopher Jarvis ◽  
Gian Luca Di Tanna ◽  
Daniel Lewis ◽  
Neal Alexander ◽  
W. John Edmunds

2017 ◽  
Vol 14 (5) ◽  
pp. 507-517 ◽  
Author(s):  
Michael J Grayling ◽  
James MS Wason ◽  
Adrian P Mander

Background/Aims: The stepped-wedge cluster randomised trial design has received substantial attention in recent years. Although various extensions to the original design have been proposed, no guidance is available on the design of stepped-wedge cluster randomised trials with interim analyses. In an individually randomised trial setting, group sequential methods can provide notable efficiency gains and ethical benefits. We address this by discussing how established group sequential methodology can be adapted for stepped-wedge designs. Methods: Utilising the error spending approach to group sequential trial design, we detail the assumptions required for the determination of stepped-wedge cluster randomised trials with interim analyses. We consider early stopping for efficacy, futility, or efficacy and futility. We describe first how this can be done for any specified linear mixed model for data analysis. We then focus on one particular commonly utilised model and, using a recently completed stepped-wedge cluster randomised trial, compare the performance of several designs with interim analyses to the classical stepped-wedge design. Finally, the performance of a quantile substitution procedure for dealing with the case of unknown variance is explored. Results: We demonstrate that the incorporation of early stopping in stepped-wedge cluster randomised trial designs could reduce the expected sample size under the null and alternative hypotheses by up to 31% and 22%, respectively, with no cost to the trial’s type-I and type-II error rates. The use of restricted error maximum likelihood estimation was found to be more important than quantile substitution for controlling the type-I error rate. Conclusion: The addition of interim analyses into stepped-wedge cluster randomised trials could help guard against time-consuming trials conducted on poor performing treatments and also help expedite the implementation of efficacious treatments. In future, trialists should consider incorporating early stopping of some kind into stepped-wedge cluster randomised trials according to the needs of the particular trial.


2017 ◽  
Vol 2 (2) ◽  
pp. e000266 ◽  
Author(s):  
Emma R Allanson ◽  
Özge Tunçalp ◽  
Joshua P Vogel ◽  
Dina N Khan ◽  
Olufemi T Oladapo ◽  
...  

Trials ◽  
2015 ◽  
Vol 16 (S2) ◽  
Author(s):  
Michael Grayling ◽  
James Wason ◽  
Adrian Mander

2021 ◽  
Vol 9 (8) ◽  
pp. e1163-e1168
Author(s):  
Elizabeth L Turner ◽  
Alyssa C Platt ◽  
John A Gallis ◽  
Kaitlin Tetreault ◽  
Christina Easter ◽  
...  

BMJ ◽  
2018 ◽  
pp. k1614 ◽  
Author(s):  
Karla Hemming ◽  
Monica Taljaard ◽  
Joanne E McKenzie ◽  
Richard Hooper ◽  
Andrew Copas ◽  
...  

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