Statistical methods for handling compliance in randomized controlled trials of device interventions: a systematic review
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Published version
Author(s)
Fiorentino, Francesca
de la Rosa, Consuelo Nohpal
Day, Emily
Type
Journal Article
Abstract
Objectives
We aimed to review the extent to which analysis of randomized controlled trials (RCTs) of device interventions includes methods to handle compliance to the study intervention as described in the protocol.
Study Design and Setting
We conducted a systematic review of the statistical methods used to handle compliance to a device intervention when estimating the effect of the device compared to another intervention in RCTs. We searched Embase, MEDLINE, PsychInfo, and the Cochrane Central Register of Controlled Trials. We sought to evaluate what methods were used and how using these methods impacted the estimate of the effect size.
Results
One hundred fifty eight RCTs were identified for inclusion, of which only 21 (13%) described using a method to account for compliance to the device intervention, consisting of alternative analysis populations such as per-protocol, modified intention-to-treat, or as-treated, alongside a primary intention-to-treat analysis. No causal inference methods were used. Fourteen (9%) studies included compliance as a factor in the analysis and investigated its effect on outcomes.
Conclusion
Although some studies consider methods to handle compliance, causal inference methods have not been well adopted in the analysis of device trials. An increased awareness of the applications of statistical methods to adjust for compliance is needed.
We aimed to review the extent to which analysis of randomized controlled trials (RCTs) of device interventions includes methods to handle compliance to the study intervention as described in the protocol.
Study Design and Setting
We conducted a systematic review of the statistical methods used to handle compliance to a device intervention when estimating the effect of the device compared to another intervention in RCTs. We searched Embase, MEDLINE, PsychInfo, and the Cochrane Central Register of Controlled Trials. We sought to evaluate what methods were used and how using these methods impacted the estimate of the effect size.
Results
One hundred fifty eight RCTs were identified for inclusion, of which only 21 (13%) described using a method to account for compliance to the device intervention, consisting of alternative analysis populations such as per-protocol, modified intention-to-treat, or as-treated, alongside a primary intention-to-treat analysis. No causal inference methods were used. Fourteen (9%) studies included compliance as a factor in the analysis and investigated its effect on outcomes.
Conclusion
Although some studies consider methods to handle compliance, causal inference methods have not been well adopted in the analysis of device trials. An increased awareness of the applications of statistical methods to adjust for compliance is needed.
Date Issued
2022-12
Date Acceptance
2022-09-27
Citation
Journal of Clinical Epidemiology, 2022, 152, pp.226-237
ISSN
0895-4356
Publisher
Elsevier
Start Page
226
End Page
237
Journal / Book Title
Journal of Clinical Epidemiology
Volume
152
Copyright Statement
© 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/
licenses/by-nc-nd/4.0/).
licenses/by-nc-nd/4.0/).
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000905334600012&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Adherence
Analysis
BAYESIAN-INFERENCE
Compliance
Device
Health Care Sciences & Services
INTENTION-TO-TREAT
Life Sciences & Biomedicine
MEDICAL DEVICES
NONCOMPLIANCE
Public, Environmental & Occupational Health
Randomized controlled trials
Science & Technology
Statistical methods
Publication Status
Published
Date Publish Online
2022-09-30