Evidence map›Paper›PMID 37415099›Full record

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.

Carol A Lee, Danilo Gamino, Michelle Lore, Curt Donelson, Liliane C Windsor

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT04757298 nacompletednot on this map

Optimization of a New Adaptive Intervention to Increase COVID-19 Testing Among People at High Risk in an Urban Community

TypeinterventionalSponsorUniversity of Illinois at Urbana-ChampaignRan2021 to 2022Enrolled668ConditionsCOVID-19 TestingArmsNavigation Services, Critical Dialogue, Brief Counseling, Referral and Digital Brochure
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Carol A LeeAddiction Center, University of Michigan, North Campus Research Complex Building 16, 2800 Plymouth Rd., Room 222W, Ann Arbor, MI, 48109, USA. carolal@med.umich.edu.
Danilo GaminoNorth Jersey Community Research Initiative, 393 Central Ave, Newark, NJ, 07103, USA.
Michelle LoreInterdisciplinary Health Sciences Institute, University of Illinois at Urbana Champaign, 405 N. Mathews Ave, Urbana, IL, 61801, USA.
Curt DonelsonData and Technology Innovation Group, University of Illinois at Urbana Champaign, 901 West University Ave, Urbana, IL, 61801, USA.
Liliane C WindsorSchool of Social Work, University of Illinois at Urbana Champaign, 1010 W. Nevada St, Urbana, IL, 61801, USA.

Funding

MULTIDISCIPLINARY ALCOHOLISM RESEARCH TRAINING PROGRAMT32AA007477 · NIAAA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Maureen A. Walton · 1990 to 2026
$7.4M
Optimization of a new adaptive intervention to increase COVID-19 testing among people at high risk in an urban communityR01MD010629 · NIMHD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BENOIT, ELLEN, WINDSOR, LILIANE CAMBRAIA · 2019 to 2022
$2.4M
Community Wise: An innovative multi-level intervention to reduce alcohol and illicit drug useU01MD010629 · NIMHD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BENOIT, ELLEN, WINDSOR, LILIANE CAMBRAIA · 2016 to 2018
$1.7M
COVID-19 Treatment Cascade Optimization StudyU01AI169469 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BENOIT, ELLEN, HARPER, JOSEPH J. · 2022 to 2023
$1.6M
NIAAA NIH HHS T32 AA007477NIAID NIH HHS U01 AI169469NIMHD NIH HHS R01 MD010629NIMHD NIH HHS U01 MD010629
6 · The paper itself

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.

Indexed as

COVID-19AdolescentAdultCOVID-19 TestingElectronicsHumansRandom AllocationAdaptive interventionsAutomationExperimental designRandomizationRandomized controlled trials (RCT)Reducing human errorsResearch Electronic Data capture (REDCap)Sequential multiple assignment Randomized Trial (SMART)

Identifiers

PMID37415099
PMCPMC10327314

What OpenQuestion holds

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LicenceCC BY
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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.