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Advancing translational science through trial integrity: REDCap-based approaches to mitigating fraud and bias
Gaylen E Fronk1, Larry W Hawk2, Andrew Cates3
1Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Journal of Clinical and Translational Science
|January 7, 2026
Summary
Decentralized clinical trials (DCTs) can improve research but face data integrity challenges. New REDCap modules, Cheatblocker and QuotaConfig, effectively combat fraud and sampling bias, enhancing DCT data reliability.
Area of Science:
- Clinical Trials Methodology
- Data Management in Research
- Translational Science
Background:
- Decentralized clinical trials (DCTs) offer advantages in recruitment speed, reach, and sample representation over traditional trials.
- Concerns persist regarding data integrity in DCTs, specifically susceptibility to fraud and sampling bias.
- Ensuring robust data integrity is crucial for the validity and public health impact of DCTs.
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