Evidence map›Paper›PMID 34418958›Full record

ArticleBMC medical research methodology2021

Use of research electronic data capture (REDCap) in a COVID-19 randomized controlled trial: a practical example.

Sina Kianersi, Maya Luetke, Christina Ludema, Alexander Valenzuela, Molly Rosenberg

Registry-linked trialAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT04620798 nacompletednot on this map

Longitudinal COVID-19 Antibody Testing in Indiana University Undergraduate Students

TypeinterventionalSponsorIndiana UniversityRan2020 to 2020Enrolled1,076ConditionsSARS-CoV-2, Serology, StudentsArmsImmediate vs. delayed provision of antibody test results
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  5. 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 · 2026
    Article
  6. Article
  7. 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 · 2026
    Article
  8. Article
  9. 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 · 2025
    Article
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  11. Building Patient-Facing Technology: A REDCap-Based Approach.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sina KianersiDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA. skianers@iu.edu.ORCID 0000-0003-0950-2675
Maya LuetkeDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Christina LudemaDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.
Alexander ValenzuelaAssociate Application Administrator, REDCap, Advanced Biomedical IT Core, UITS Research Technologies, Indiana University, Bloomington, IN, USA.
Molly RosenbergDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Research DesignElectronicsHumansRandomized Controlled Trials as TopicSARS-CoV-2Surveys and QuestionnairesRandomizationRandomized controlled trialsRCTREDCapRisk of bias

Identifiers

PMID34418958
PMCPMC8380110

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.