Use of research electronic data capture (REDCap) in a sequential multiple assignment randomized trial (SMART): a practical example of automating double randomization

被引:0
作者
Lee, Carol A. [1 ]
Gamino, Danilo [2 ]
Lore, Michelle [3 ]
Donelson, Curt [4 ]
Windsor, Liliane C. [5 ]
机构
[1] Univ Michigan, Addict Ctr, North Campus Res Complex Bldg 16,2800 Plymouth Rd, Ann Arbor, MI 48109 USA
[2] North Jersey Community Res Initiat, 393 Cent Ave, Newark, NJ 07103 USA
[3] Univ Illinois, Interdisciplinary Hlth Sci Inst, 405 N Mathews Ave, Urbana, IL 61801 USA
[4] Univ Illinois, Data & Technol Innovat Grp, 901 West Univ Ave, Urbana, IL 61801 USA
[5] Univ Illinois, Sch Social Work, 1010 W Nevada St, Urbana, IL 61801 USA
关键词
Research Electronic Data capture (REDCap); Randomized controlled trials (RCT); Adaptive interventions; Sequential multiple assignment Randomized Trial (SMART); Randomization; Experimental design; Reducing human errors; Automation; OPTIMIZATION; DESIGN;
D O I
10.1186/s12874-023-01986-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
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相关论文
共 15 条
[1]   The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART) - New methods for more potent eHealth interventions [J].
Collins, Linda M. ;
Murphy, Susan A. ;
Strecher, Victor .
AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2007, 32 (05) :S112-S118
[2]   Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART) [J].
Collins, Linda M. ;
Nahum-Shani, Inbal ;
Almirall, Daniel .
CLINICAL TRIALS, 2014, 11 (04) :426-434
[3]   A conceptual framework for adaptive preventive interventions [J].
Collins, LM ;
Murphy, SA ;
Bierman, KL .
PREVENTION SCIENCE, 2004, 5 (03) :185-196
[4]  
Danielson L., 2014, PRACTICAL CONSIDERAT
[5]   Efficacy, tolerability, and safety of serotonergic psychedelics for the management of mood, anxiety, and substance-use disorders: a systematic review of systematic reviews [J].
dos Santos, Rafael G. ;
Carlos Bouso, Jose ;
Angel Alcazar-Corcoles, Miguel ;
Hallak, Jaime E. C. .
EXPERT REVIEW OF CLINICAL PHARMACOLOGY, 2018, 11 (09) :889-902
[6]   Evidence Base Update of Psychosocial Treatments for Self-Injurious Thoughts and Behaviors in Youth [J].
Glenn, Catherine R. ;
Esposito, Erika C. ;
Porter, Andrew C. ;
Robinson, Devin J. .
JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, 2019, 48 (03) :357-392
[7]   Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support [J].
Harris, Paul A. ;
Taylor, Robert ;
Thielke, Robert ;
Payne, Jonathon ;
Gonzalez, Nathaniel ;
Conde, Jose G. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2009, 42 (02) :377-381
[8]   Incorporating animal-assisted therapy in mental health treatments for adolescents: A systematic review of canine assisted psychotherapy [J].
Jones, Melanie G. ;
Rice, Simon M. ;
Cotton, Susan M. .
PLOS ONE, 2019, 14 (01)
[9]  
Larsen Christian, 2020, J Clin Med Res, V12, P129, DOI 10.14740/jocmr4090
[10]   A design for testing clinical strategies: biased adaptive within-subject randomization [J].
Lavori, PW ;
Dawson, R .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2000, 163 :29-38