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Updated: Dec 26, 2025

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
Published on: March 1, 2024
A Population-Based Approach to Reporting System-Level Performance Measures for Rheumatoid Arthritis Care
Claire E H Barber1, Deborah A Marshall1, Elena Szefer2
1University of Calgary, Calgary, Alberta, Canada, and Arthritis Research Canada, Richmond, British Columbia, Canada.
Objective:
To operationalize and report on nationally endorsed rheumatoid arthritis (RA) performance measures (PMs) using health administrative data for British Columbia (BC), Canada.
Methods:
All patients with RA in BC ages ≥18 years were identified between January 1, 1997 and December 31, 2009 using health administrative data and followed until December 2014. PMs tested include: the percentage of incident patients with ≥1 rheumatologist visit within 365 days; the percentage of prevalent patients with ≥1 rheumatologist visit per year; the percentage of prevalent patients dispensed disease-modifying antirheumatic drug (DMARD) therapy; and time from RA diagnosis to DMARD therapy. Measures were reported on patients seen by rheumatologists, and in the total population.
Results:
The cohort included 38,673 incident and 57,922 prevalent RA cases. The percentage of patients seen by a rheumatologist within 365 days increased over time (35% in 2000 to 65% in 2009), while the percentage of RA patients under the care of a rheumatologist seen yearly declined (79% in 2001 to 39% in 2014). The decline was due to decreasing visit rates with increasing follow-up time rather than calendar effect. The percentage of RA patients dispensed a DMARD was suboptimal over follow-up (37% in 2014) in the total population but higher (87%) in those under current rheumatologist care. The median time to DMARD in those seen by a rheumatologist improved from 49 days in 2000 to 23 days in 2009, with 34% receiving treatment within the 14-day benchmark.
Conclusion:
This study describes the operationalization and reporting of national PMs using administrative data and identifies gaps in care to further examine and address.
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