abstract details

The summaries are free for public use. ARTHROS will continue to add and archive summaries of articles deemed relevant to ARTHROS by our Faculty.

Evaluation of a Methodological Approach to Define An Inception Cohort of Rheumatoid Arthritis Patients Using Administrative Data

Author information

Curtis JR1,2, Xie F1, Chen L1, Greenberg JD3, Zhang J2. Arthritis Care Res (Hoboken). 2018 Feb 6. doi: 10.1002/acr.23533. [Epub ahead of print]

Abstract

Author information

1 Division of Clinical Immunology and Rheumatology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL.

2 Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL.

3 Corrona, LLC, Southborough, MA; 4. New York University School of Medicine, New York, NY.

Abstract

BACKGROUND/PURPOSE: Identifying incident rheumatoid arthritis (RA) is desirable to create inception cohorts. We evaluated an approach to identify incident RA in health plan claims data.

METHODS: Both Medicare and commercial claims data was linked to Corrona, a U.S. RA registry. We evaluated accuracy of year of RA onset in the registry (gold standard) versus different claims algorithms, varying ICD-9 codes for RA/arthritis, duration of health plan enrollment preceding diagnosis (minimum of 1 vs. 2 years) and use of RA medications. Results were reported as positive predictive values (PPVs) of the claims-based algorithm for incident RA.

RESULTS: Depending on algorithm tested and whether patients were enrolled in Medicare or the commercial health plan, the PPVs for incident RA ranged from 68%-81%. A 2 year clean period free of all RA-related diagnoses and RA medications was somewhat more optimal, although by comparison, a 1 year clean period yielded similar PPVs and retained approximately 90% more RA patients for analysis.

CONCLUSION: Claims-based algorithms can accurately identify incident RA.