ArticleJAMIA open2025
Workflows to automate covariate-adaptive randomization in REDCap via data entry triggers.
Article in JAMIA open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
6 authors.
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Abstract
Objective: Covariate-adaptive randomization algorithms (CARAs) can reduce covariate imbalance in randomized controlled trials (RCTs), but a lack of integration into Research Electronic Data Capture (REDCap) has limited their use. We developed a software pipeline to seamlessly integrate CARAs into REDCap as part of the all2GETHER study, a 2-armed RCT concerning HIV prevention. Materials and Methods: Leveraging REDCap's Data Entry Trigger and a separate server, we implemented software in PHP and R to automate randomizations for all2GETHER. Randomizations were triggered by saving a specific REDCap form and were automatically communicated to unblinded study personnel. Results: Study arms were highly comparable, with differences across covariates characterized by Cohen's Conclusions: Our pipeline proved effective at reducing covariate imbalance with minimal additional effort for study personnel. Discussion: This pipeline is reproducible and could be used by other RCTs that collect data via REDCap.
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