{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["8(5)"],"submitter":["Schauer JM"],"pubmed_abstract":["<h4>Objective</h4>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.<h4>Materials and methods</h4>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.<h4>Results</h4>Study arms were highly comparable, with differences across covariates characterized by Cohen's <i>d</i> = 0.003 for continuous variables and risk differences <2.4% for categorical/binary variables.<h4>Conclusions</h4>Our pipeline proved effective at reducing covariate imbalance with minimal additional effort for study personnel.<h4>Discussion</h4>This pipeline is reproducible and could be used by other RCTs that collect data via REDCap."],"journal":["JAMIA open"],"pagination":["ooaf110"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12486239"],"repository":["biostudies-literature"],"pubmed_title":["Workflows to automate covariate-adaptive randomization in REDCap via data entry triggers."],"pmcid":["PMC12486239"],"pubmed_authors":["Rasmussen LV","Swann G","Ciolino JD","Newcomb ME","Schauer JM","Broxton MO"],"additional_accession":[]},"is_claimable":false,"name":"Workflows to automate covariate-adaptive randomization in REDCap via data entry triggers.","description":"<h4>Objective</h4>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.<h4>Materials and methods</h4>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.<h4>Results</h4>Study arms were highly comparable, with differences across covariates characterized by Cohen's <i>d</i> = 0.003 for continuous variables and risk differences <2.4% for categorical/binary variables.<h4>Conclusions</h4>Our pipeline proved effective at reducing covariate imbalance with minimal additional effort for study personnel.<h4>Discussion</h4>This pipeline is reproducible and could be used by other RCTs that collect data via REDCap.","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-06-04T02:23:20.303Z","creation":"2026-05-04T03:13:08.747Z"},"accession":"S-EPMC12486239","cross_references":{"pubmed":["41041624"],"doi":["10.1093/jamiaopen/ooaf110"]}}