Validating claims-based algorithms for a systemic lupus erythematosus diagnosis in Medicare data for informed use of the Lupus Index: a tool for geospatial research
The findings of this study highlight the performance of specific ICD-10 code algorithms in identifying SLE and LN cases within Medicare data, providing a valuable tool for informing use of the Lupus Index. This index allows for improved geographical targeting of clinical resources, health disparity studies and clinical trial site selection. The study underscores the importance of algorithm selection based on research objectives, recommending more specific algorithms for precise tasks like clinical trial site identification and less specific ones for broader applications such as health disparities research.
Authors
- Jeffrey R. Curtis (ORCID: https://orcid.org/0000-0002-8907-8976)
- Jim C. Oates (ORCID: https://orcid.org/0000-0002-5426-1359)
- Jinoos Yazdany (ORCID: https://orcid.org/0000-0002-3508-4094)
- Peter Izmirly (ORCID: https://orcid.org/0000-0001-5445-2182)
- Candace H. Feldman (ORCID: https://orcid.org/0000-0002-4980-9770)
Institutions
- Brigham and Women's Hospital (US)
- Medical University of South Carolina (US)
- University of California, San Francisco (US)
- University of Alabama at Birmingham (US)
- Ralph H. Johnson VA Medical Center (US)
- New York University (US)
Publication Details
- Journal
- Lupus Science & Medicine
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1136/lupus-2024-001329
- Citations
- 6
- Primary Topic
- Systemic Lupus Erythematosus Research
- Type
- article
- Field-Weighted Citation Impact
- 2.82
Funders
- Medical University of South Carolina
- University of South Carolina
- Lupus Research Alliance
- National Institutes of Health
- EMD Serono
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina