ArticleBMC medical research methodology2021
Use of research electronic data capture (REDCap) in a COVID-19 randomized controlled trial: a practical example.
Article in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04620798 (Longitudinal COVID-19 Antibody Testing in Indiana University Undergraduate Students), which is not on this map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Longitudinal COVID-19 Antibody Testing in Indiana University Undergraduate Students
Who cites it
24 citing papers in PubMed.
- Trial
- Trial
- Feasibility and Preliminary Efficacy of Enhanced Midwifery Care to Support Women Experiencing Subclinical Depression: A Pilot Randomised Controlled Trial.International journal of environmental research and public health · 2025Trial
- Trial
- Fully automated free-breathing cardiac magnetic resonance imaging at 3T: A prospective randomized study of image quality, efficiency, and workflow burden.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- Digitizing rehabilitation outcomes and assessing data quality in clinical trials: implementing validated scales in REDCap for a stroke RCT.BMC medical research methodology · 2026Article
- Empowering Older Patients in Advance Care Planning: Evaluating MyCare™ as a Decision Support Tool.Health expectations : an international journal of public participation in health care and health policy · 2026Article
- Article
- Development of a Health Text Message System to Support Stroke Prevention: A Component of the Love Your Brain Digital Platform.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Technical Requirements, Design, and Automation Process for a Statewide Registry-Based Tailored Text Messaging System: Protocol for a Longitudinal Observational Study.JMIR research protocols · 2025Article
- Building Patient-Facing Technology: A REDCap-Based Approach.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
- The Digital Platform and Its Emerging Role in Decentralized Clinical Trials.Journal of medical Internet research · 2024Article
- User Preferences and Needs for Health Data Collection Using Research Electronic Data Capture: Survey Study.JMIR medical informatics · 2024Article
- CalScope: methodology and lessons learned for conducting a remote statewide SARS-CoV-2 seroprevalence study in California using an at-home dried blood spot collection kit and online survey.BMC medical research methodology · 2024Article
- Enhancing Patient Medication Safety at Home: A Patient-Facing Technology Architecture Integrating REDCap, Visualization Dashboards, and an AI- Driven Chatbot.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Remote and semi-automated methods to conduct a decentralized randomized clinical trial.Journal of clinical and translational science · 2023Article
- Chatbot-Delivered Cognitive Behavioral Therapy in Adolescents With Depression and Anxiety During the COVID-19 Pandemic: Feasibility and Acceptability Study.JMIR formative research · 2022Article
- A Method to Deliver Automated and Tailored Intervention Content: 24-month Clinical Trial.JMIR formative research · 2022Article
- Pilot of rapid implementation of the advanced practice provider in the workflow of an existing tele-critical care program.BMC health services research · 2022Article
- Relationship between high-risk alcohol consumption and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seroconversion: a prospective sero-epidemiological cohort study among American college students.Addiction (Abingdon, England) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRandomized controlled trials (RCT) are considered the ideal design for evaluating the efficacy of interventions. However, conducting a successful RCT has technological and logistical challenges. Defects in randomization processes (e.g., allocation sequence concealment) and flawed masking could bias an RCT's findings. Moreover, investigators need to address other logistics common to all study designs, such as study invitations, eligibility screening, consenting procedure, and data confidentiality protocols. Research Electronic Data Capture (REDCap) is a secure, browser-based web application widely used by researchers for survey data collection. REDCap offers unique features that can be used to conduct rigorous RCTs.
methodsIn September and November 2020, we conducted a parallel group RCT among Indiana University Bloomington (IUB) undergraduate students to understand if receiving the results of a SARS-CoV-2 antibody test changed the students' self-reported protective behavior against coronavirus disease 2019 (COVID-19). In the current report, we discuss how we used REDCap to conduct the different components of this RCT. We further share our REDCap project XML file and instructional videos that investigators can use when designing and conducting their RCTs.
resultsWe reported on the different features that REDCap offers to complete various parts of a large RCT, including sending study invitations and recruitment, eligibility screening, consenting procedures, lab visit appointment and reminders, data collection and confidentiality, randomization, blinding of treatment arm assignment, returning test results, and follow-up surveys.
conclusionsREDCap offers powerful tools for longitudinal data collection and conduct of rigorous and successful RCTs. Investigators can make use of this electronic data capturing system to successfully complete their RCTs.
trial registrationThe RCT was prospectively (before completing data collection) registered at ClinicalTrials.gov; registration number: NCT04620798 , date of registration: November 9, 2020.
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Registered trials
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.