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Table 2 Results of multivariable model of the probability of seeing a rheumatologist within 1 year of diagnosis

From: System-level performance measures of access to rheumatology care: a population-based retrospective study of trends over time and the impact of regional rheumatologist supply in Ontario, Canada, 2002–2019

Predictor

Odds ratio

95% confidence interval

p-value

Year

See Fig. 2B

 

< 0.0001

Resident in optimal rheumatologist supply region (reference is suboptimal supply)

1.73

1.67–1.80

< 0.0001

Age

See Fig. 2C

 

< 0.0001

Male (reference is females)

1.11

1.07–1.15

< 0.0001

Income quintile (per additional quintile)

1.11

1.09–1.12

< 0.0001

Rural residence (reference is urban)

1.77

1.68–1.87

< 0.0001

Log(distance to nearest rheumatologist, km)

0.73

0.72–0.74

< 0.0001

Congestive heart failure

0.66

0.59–0.75

< 0.0001

Diabetes

0.91

0.87–0.95

< 0.0001

Hypertension

0.91

0.88–0.95

< 0.0001

Frailty

0.67

0.63–0.72

< 0.0001

  1. Acute myocardial infarction (AMI), coronary artery disease cancer, cardiovascular disease, chronic renal disease, chronic obstructive pulmonary disease (COPD) or asthma, deep vein thrombosis (DVT) or pulmonary embolism, and ADG category were not significant predictors in this model. The interaction between year and rheumatologist supply was not significant (p = 0.54)