Data Quality Assurance Tool for the Acute to Chronic Pain Signatures Study (A2CPS): An Interactive R Shiny Application
The A2CPS Data Monitoring Web App plays a key role in A2CPS data quality assurance. This robust open-source solution reduces data entry errors and provides targeted feedback and training to the data collection sites. Our results demonstrate the potential for using open-source computational frameworks for data monitoring and quality assurance purposes in both clinical trials and observational studies.
Authors
- Joshua A. Urrutia (ORCID: https://orcid.org/0000-0003-2171-0936)
- Patrick Sadil (ORCID: https://orcid.org/0000-0003-4141-1343)
- Adi Gherman
- Andre Hackman (ORCID: https://orcid.org/0000-0002-6401-2831)
- Briha Ansari (ORCID: https://orcid.org/0000-0001-8316-3320)
- Martin A Lindquist
- Ari Kahn
- Margaret Taub
- James Ford
Institutions
- Dartmouth College (US)
- Johns Hopkins University (US)
- Dartmouth Hospital (GB)
- The University of Texas at Austin (US)
Publication Details
- Journal
- medRxiv
- Published
- 2026-01-08
- DOI
- https://doi.org/10.64898/2026.01.07.26343620
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00