Trial reportBMC medical research methodology2023
Use of research electronic data capture (REDCap) in a sequential multiple assignment randomized trial (SMART): a practical example of automating double randomization.
Trial report in BMC medical research methodology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04757298 (Optimization of a New Adaptive Intervention to Increase COVID-19 Testing Among People at High Risk in an Urban Community), which is not on this map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Optimization of a New Adaptive Intervention to Increase COVID-19 Testing Among People at High Risk in an Urban Community
Who cites it
6 citing papers in PubMed.
- Safety and Efficacy of Eflornithine in Patients with Gastric Precancerous Lesions: A Double-Blinded, Randomized Clinical Trial.Cancer prevention research (Philadelphia, Pa.) · 2026Trial
- Diverse Recruitment for Clinical Trials Using Three Diversity-Enhancing Interventions: Qualitative Study.JMIR formative research · 2026Article
- A REDCap advanced randomization module to meet the needs of modern trials.Journal of biomedical informatics · 2025Article
- Peer-led intervention for individuals with major depression: study protocol for a randomized controlled trial (SUPEERMood).BMC psychiatry · 2024Article
- Participation in Critical Dialogues With Illustrative Images Increases Knowledge About COVID-19 Prevention: A Mixed Methods Longitudinal Approach.Journal of mixed methods research · 2024Article
- User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study.JMIR medical informatics · 2024Article
Corrections and comments
- Update of
Authors and funding
5 authors.
Funding
Abstract
backgroundAdaptive interventions are often used in individualized health care to meet the unique needs of clients. Recently, more researchers have adopted the Sequential Multiple Assignment Randomized Trial (SMART), a type of research design, to build optimal adaptive interventions. SMART requires research participants to be randomized multiple times over time, depending upon their response to earlier interventions. Despite the increasing popularity of SMART designs, conducting a successful SMART study poses unique technological and logistical challenges (e.g., effectively concealing and masking allocation sequence to investigators, involved health care providers, and subjects) in addition to other challenges common to all study designs (e.g., study invitations, eligibility screening, consenting procedures, and data confidentiality protocols). Research Electronic Data Capture (REDCap) is a secure, browser-based web application widely used by researchers for data collection. REDCap offers unique features that support researchers' ability to conduct rigorous SMARTs. This manuscript provides an effective strategy for performing automatic double randomization for SMARTs using REDCap.
methodsBetween January and March 2022, we conducted a SMART using a sample of adult (age 18 and older) New Jersey residents to optimize an adaptive intervention to increase COVID-19 testing uptake. In the current report, we discuss how we used REDCap for our SMART, which required double randomization. Further, we share our REDCap project XML file for future investigators to use when designing and conducting SMARTs.
resultsWe report on the randomization feature that REDCap offers and describe how the study team automated an additional randomization that was required for our SMART. An application programming interface was used to automate the double randomizations in conjunction with the randomization feature provided by REDCap.
conclusionsREDCap offers powerful tools to facilitate the implementation of longitudinal data collection and SMARTs. Investigators can make use of this electronic data capturing system to reduce errors and bias in the implementation of their SMARTs by automating double randomization.
trial registrationThe SMART study was prospectively registered at Clinicaltrials.gov; registration number: NCT04757298, date of registration: 17/02/2021.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.