Comparing Medical Record Abstraction (MRA) error rates in an observational study to pooled rates identified in the data quality literature
Review of the literature indicated that the accuracy associated with MRA varied widely across studies. However, our results demonstrate that, with appropriate training and continuous QC, MRA error rates can be significantly controlled during the course of a clinical research study.
Authors
- Lori A. Devlin
- Jessica Snowden (ORCID: https://orcid.org/0000-0002-0715-151X)
- Meredith Zozus (ORCID: https://orcid.org/0000-0002-9332-1684)
- Maryam Y. Garza (ORCID: https://orcid.org/0000-0002-2652-5935)
- Zhuopei Hu (ORCID: https://orcid.org/0000-0002-4672-8270)
- Jeannette Y. Lee (ORCID: https://orcid.org/0000-0003-3536-2442)
- Tremaine B. Williams (ORCID: https://orcid.org/0000-0003-4902-3038)
- Leslie Young (ORCID: https://orcid.org/0000-0003-4892-3667)
- Songthip Ounpraseuth (ORCID: https://orcid.org/0000-0001-5623-0444)
- Anita C. Walden
- Alan E. Simon
Institutions
- University of Vermont (US)
- Centers for Disease Control and Prevention (US)
- National Center for Health Statistics (US)
- University of Louisville (US)
- The University of Texas at San Antonio Health Science Center (US)
- University of Colorado Anschutz Medical Campus (US)
- University of Arkansas for Medical Sciences (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12874-024-02424-x
- Citations
- 1
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.46
Funders
- University of Arkansas for Medical Sciences
- University of Texas Health Science Center at Houston
- National Institutes of Health
- Centers for Disease Control and Prevention
- National Center for Advancing Translational Sciences