2.50
Hdl Handle:
http://hdl.handle.net/10755/211570
Type:
Research Study
Title:
REDCAP DATA MANAGEMENT: A SMARTER STUDY EXPERIENCE
Abstract:
Purposes/Aims:  The purposes are to: (a) provide an overview of REDCap features, (b) demonstrate REDCap as used for data management in an active study, and (c) highlight considerations that support easier data analysis. Background:  Research Electronic Data Capture known as REDCap is a secure, web application that supports data capture for research studies.  REDCap was developed as an open source, multi-institutional consortium project started at Vanderbilt University. For data management, the system provides online survey collection, web-based case reports, data entry validation, audit trails, and a de-identified data export mechanism. A data dictionary is maintained and readily downloadable.  Data export can occur to common statistical packages (SPSS, SAS, Stata, R/S-Plus).  REDCap allows for encrypted data sharing and is a useful package for multi-site data collection. The self-management and resourceful transition (SMaRT) study used a randomized control design to study the use of an educational and behavioral counseling approach to support self-management of people with type 2 diabetes and chronic kidney disease. REDCap facilitated organization of the longitudinal measures collected at baseline, 3-months, and 6-months following treatment. Methods:  Using consulting services under the Colorado Clinical and Translational Sciences Institute (CCTSI), the research study team built the study database in the development mode by adding items with various entries consisting of drop down choices and some text boxes by event as needed for longitudinal design.  The items entailed the use of branching logic, and calculation functions, i.e. height and weight for BMI.  Building the REDCap data management system for the SMaRT study occurred over a 2 month period.  After moving to the production mode, data collection/entry began. Results:  We have generated reports for study audit for safety parameters necessary for communication with the safety officer and for monitoring data entry/verification.  The ease of report generation and the ability to de-identify protected health information expedites deliverables.  Preliminary data analysis is underway. Implications:  Use of REDCap involved a short learning curve for the study team and provided a means to manage and preserve data integrity through its history function and control of study team access.  Key to successful data management is biostatistician consultation given implications of REDCap features for later analysis. For future studies the online survey approach and the survey library will be used.
Keywords:
REDCap; Data management; Research Electronic Data Capture
Repository Posting Date:
20-Feb-2012
Date of Publication:
20-Feb-2012
Other Identifiers:
5498
Sponsors:
Western Institute of Nursing

Full metadata record

DC FieldValue Language
dc.typeResearch Studyen_GB
dc.titleREDCAP DATA MANAGEMENT: A SMARTER STUDY EXPERIENCEen_GB
dc.identifier.urihttp://hdl.handle.net/10755/211570-
dc.description.abstractPurposes/Aims:  The purposes are to: (a) provide an overview of REDCap features, (b) demonstrate REDCap as used for data management in an active study, and (c) highlight considerations that support easier data analysis. Background:  Research Electronic Data Capture known as REDCap is a secure, web application that supports data capture for research studies.  REDCap was developed as an open source, multi-institutional consortium project started at Vanderbilt University. For data management, the system provides online survey collection, web-based case reports, data entry validation, audit trails, and a de-identified data export mechanism. A data dictionary is maintained and readily downloadable.  Data export can occur to common statistical packages (SPSS, SAS, Stata, R/S-Plus).  REDCap allows for encrypted data sharing and is a useful package for multi-site data collection. The self-management and resourceful transition (SMaRT) study used a randomized control design to study the use of an educational and behavioral counseling approach to support self-management of people with type 2 diabetes and chronic kidney disease. REDCap facilitated organization of the longitudinal measures collected at baseline, 3-months, and 6-months following treatment. Methods:  Using consulting services under the Colorado Clinical and Translational Sciences Institute (CCTSI), the research study team built the study database in the development mode by adding items with various entries consisting of drop down choices and some text boxes by event as needed for longitudinal design.  The items entailed the use of branching logic, and calculation functions, i.e. height and weight for BMI.  Building the REDCap data management system for the SMaRT study occurred over a 2 month period.  After moving to the production mode, data collection/entry began. Results:  We have generated reports for study audit for safety parameters necessary for communication with the safety officer and for monitoring data entry/verification.  The ease of report generation and the ability to de-identify protected health information expedites deliverables.  Preliminary data analysis is underway. Implications:  Use of REDCap involved a short learning curve for the study team and provided a means to manage and preserve data integrity through its history function and control of study team access.  Key to successful data management is biostatistician consultation given implications of REDCap features for later analysis. For future studies the online survey approach and the survey library will be used.en_GB
dc.subjectREDCapen_GB
dc.subjectData managementen_GB
dc.subjectResearch Electronic Data Captureen_GB
dc.date.available2012-02-20T12:02:54Z-
dc.date.issued2012-02-20T12:02:54Z-
dc.date.accessioned2012-02-20T12:02:54Z-
dc.description.sponsorshipWestern Institute of Nursingen_GB
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