Introduction to using REDCap for multi-site longitudinal research in medicine


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Overview on using REDCap for multi-site, longitudinal research prepared by Catherine Zhu and Brian T. Edwards.

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Introduction to using REDCap for multi-site longitudinal research in medicine

  1. 1. REDCap Overview Catherine Zhu & Brian T. Edwards Center for Biomedical Research Informatics NorthShore University HealthSystem June 16, 2014
  2. 2. What is REDCap? Research Electronic Data Capture (REDCap) REDCap is a web-based application designed to give Researchers and Clinicians the capacity to create and manage databases and surveys in order to support data capture for research studies.
  3. 3. REDCap Features • Fast and flexible data entry and form creation in the web interface • Autonomous multi-level user access • Batch data load using automated data import procedures • Seamless data export to common data analysis packages • Easy and secure multi-site access • Fully functional and customized design for longitudinal research studies • Aggregate graphical data view and descriptive statistics • Ad hoc reporting and analysis • Complete audit trails for tracking data manipulation and user activity
  4. 4. Fast and Flexible Data Entry and Form Creation in the Web Interface ✓ REDCap provides various data field types, such as text box, notes box, calculated field, multiple choice, checkboxes, descriptive text, section header, dynamic query, etc ✓ Questions using branching logic are supported ✓ Research team can easily mark identified data in the interface and create access limits on those fields ✓ Built-in data validation to maintain data quality
  5. 5. Numerous Field Types
  6. 6. Multiple Choice Field Types Branching Logic
  7. 7. Autonomous Multi-Level User Access Researchers choose what people and group have access to: ✓ Data, both identified and de-identified ✓ Data export & import capability ✓ User rights management ✓ View reports ✓ View logging
  8. 8. Batch Data Load Using Automated Data Import Procedures Long PD REDCap Database
  9. 9. Seamless Data Export to Common Data Analysis Packages Researchers can export data to a variety of statistical analysis packages (SPSS, SAS, R, Excel, etc) ✓ Researches can grant or restrict access to export data for analysis ✓ Data exports are customizable including all or some of the data forms and fields ✓ Exports can include identified or only de-identified data depending on user and group rights Embedded De-Identification Tools Specify load individual field Specify load individual form Load all the form Exports Raw data + Stats Script Files (Labels, coding)
  10. 10. Easy and Secure Multi-Site Access ✓ Research teams can input data simultaneously, from across the hall or across the country. ✓ Data Access Groups can be implemented to segregate users and the data. By placing users into data access groups, they will only be able to access records created by someone in their group.
  11. 11. Fully Functional and Customized Design for Longitudinal Research Studies
  12. 12. Aggregate Graphical Data View and Descriptive Statistics Help You Maintain Sushi Grade Data !!
  13. 13. Ad Hoc Reporting and Analysis Reports can be generated: ✓ On the fly ✓ Saved and used over and over within the interface
  14. 14. Complete Audit Trails For Tracking Data Manipulation and User Activity Data logging provides information about: ✓ who has changed the instrument ✓ who has changed the data ✓ who has accessed data ✓ when these events occurred
  15. 15. Helpful information and links - REDCap Consortium Webinars and REDCap Tutorials videos: http://project- (under ‘Video Resources’ tab). - Research electronic data capture (REDCap) A metadata-driven methodology and workflow process for providing translational research informatics support (Journal of Biomedical Informatics, Apr. 2009) http://www.sciencedirect. com/science/article/pii/S1532046408001226
  16. 16. Q & A