Article Figures & Data
Figures
- Figure 1.
Sensitivity of different systemic autoimmune rheumatic disease (SARD) case ascertainment methods (estimated from Bayesian hierarchical latent class models). Models estimated sensitivity for each of the 3 case definitions (rheumatology billing, 2-code physician billing, and hospital diagnosis), based on the total number of SARD cases identified from all sources, and accounting for error in each. Error bars represent Bayesian credible intervals (the values between which there is a 95% probability of containing the variable of interest, given the data and prior information input). Left panels, subjects age < 45 years; right panels, age ≥ 45 years.
Tables
- Table 1.
Systemic autoimmune rheumatic disease (SARD) prevalence estimates (Bayesian latent class hierarchical modeling): prevalence estimates (95% credible interval) per 1000 residents by age and rural/urban status, 7 Canadian provinces, 1988 to 2007.
Female Male Rural Urban Rural Urban A. Residents aged < 45 yrs Alberta 1.8 (1.6–2.0) 2.2 (2.0–2.4) 0.2 (0.1–0.3) 0.3 (0.2–0.4) British Columbia 1.0 (0.8–1.2) 4.5 (4.2–4.8) 0.1 (0.1–0.2) 0.6 (0.5–0.7) Manitoba 2.1 (1.8–2.4) 2.4 (2.1–2.7) 0.2 (0.1–0.2) 0.2 (0.1–0.3) Nova Scotia 0.9 (0.6–1.4) 1.1 (0.8–1.7) 0.2 (0.1–0.3) 0.2 (0.1–0.4) Ontario 3.2 (3.0–3.4) 4.3 (4.1–4.4) 0.2 (0.2–0.3) 0.3 (0.3–0.3) Quebec 1.0 (0.9–1.1) 2.0 (1.8–2.1) 0.1 (0.1–0.2) 0.2 (0.2–0.3) Saskatchewan 2.3 (1.9–2.7) 2.3 (1.9–2.8) 0.2 (0.2–0.3) 0.2 (0.2–0.3) B. Residents aged ≥ 45 yrs Alberta 8.4 (7.8–9.1) 9.0 (8.5–9.6) 1.9 (1.6–2.3) 1.7 (1.4–1.9) British Columbia 4.9 (4.4–5.4) 10.0 (9.9–10.0) 0.5 (0.4–0.6) 5.6 (5.2–6.1) Manitoba 11.8 (10.9–12.7) 13.2 (12.5–14.0) 1.8 (1.5–2.3) 2.0 (1.6–2.4) Nova Scotia 6.6 (5.5–10.4) 11.0 (9.1–16.7) 1.6 (1.1–2.6) 3.1 (2.3–4.8) Ontario 13.6 (13.1–14.2) 15.4 (15–15.7) 3.5 (3.2–3.9) 5.1 (4.8–5.5) Quebec 5.7 (5.4–5.9) 9.4 (9.1–9.8) 1.4 (1.3–1.6) 2.4 (2.1–2.6) Saskatchewan 9.5 (8.8–9.9) 9.9 (9.6–10.0) 1.7 (1.3–2.3) 1.8 (1.4–2.6) Females Males Total C. Overall prevalence Alberta 4.5 (4.3–4.8) 0.8 (0.7–0.9) 2.7 (2.5–2.9) British Columbia 6.1 (5.9–6.2) 2.2 (2.1–2.4) 4.2 (4.0–4.3) Manitoba 6.5 (6.2–6.8) 0.8 (0.7–0.9) 3.8 (3.5–4.0) Nova Scotia 4.2 (3.6–5.7) 1.0 (0.8–1.4) 2.6 (2.2–3.6) Ontario 7.8 (7.6–8.0) 2.2 (2.0–2.4) 5.0 (4.8–5.2) Quebec 4.2 (4.1–4.4) 0.8 (0.8–0.9) 2.5 (2.5–2.7) Saskatchewan 5.5 (5.2–5.7) 0.9 (0.7–1.1) 3.2 (3.0–3.4) -
Credible intervals represent the values between which there is a 95% probability of containing the variable of interest, given the data and prior information input.
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