Table 2.

Predictors of ApT using multivariable logistic regression and predictors of ApT within each facility using mixed effects logistic regression model

Logistic regressionMixed effects logistic regression
Characteristic, n (%)OR (95% CI)POR (95% CI)P
Age, years (per 10-year increase)0.67 (0.65–0.68)<0.0010.69 (0.68–0.71)<0.001
Gender
 Male (ref)
 Female0.88 (0.84–0.96)<0.0010.87 (0.84–0.91)<0.001
Charlson comorbidity index
 0 (ref)
 11.10 (1.06–1.16)<0.0011.11 (1.06–1.16)<0.001
 2+0.90 (0.84–0.96)0.030.90 (0.84–0.97)0.004
Annual household incomea
 <$38,000 (ref)
 $38,000–47,9991.10 (1.03–1.17)0.0041.09 (1.01–1.16)0.02
 $48,000–62,9991.09 (1.02–1.16)0.021.11 (1.03–1.20)0.005
 ≥$63,0000.97 (0.90–1.05)0.411.05 (0.96–1.15)0.3
% Without HS educationa
 >21% (ref)
 13%–20.9%1.05 (0.99–1.12)0.121.01 (0.94–1.09)0.7
 7%–12.9%1.09 (1.02–1.17)0.011.02 (0.94–1.10)0.7
 <7%1.17 (1.08–1.27)<0.0011.04 (0.95–1.14)0.4
Race
 White (ref)
 Black0.72 (0.67–0.79)<0.0010.79 (0.73–0.87)<0.001
 Other0.91 (0.81–1.02)0.110.92 (0.81–1.04)0.2
Insurance status
 Not insured (ref)
 Private insurance1.27 (1.11–1.45)<0.0011.15 (1.00–1.32)0.04
 Medicaid1.05 (0.89–1.24)0.541.04 (0.88–1.24)0.6
 Medicare1.54 (1.34–1.76)<0.0011.37 (1.19–1.58)<0.001
 Other government1.26 (1.00–1.59)0.051.14 (0.89–1.46)0.3
 Unknown/not reported1.02 (0.83–1.26)0.830.96 (0.77–1.20)0.7
Distance to hospital (per mile increase)1.00 (1.00–1.00)<0.0011.00 (1.00–1.00)0.05
Days from diagnosis to ApT1.00 (1.00–1.00)<0.0011.00 (1.00–1.00)0.02
City type
 Metropolitan (ref)
 Urban1.13 (1.07–1.20)<0.0011.08 (1.01–1.15)0.03
 Rural1.13 (1.03–1.25)0.011.08 (0.97–1.21)0.2
Hospital type
 Community (ref)
 Comprehensive community1.36 (1.27–1.45)<0.001
 Academic2.56 (2.39–2.73)<0.001
 Integrated cancer network1.55 (1.41–1.70)<0.001
 Other3.64 (2.28–5.81)<0.001
Histology
 Urothelial CA (ref)
 Variant0.93 (0.88–0.99)0.040.93 (0.88–0.99)0.04
  • NOTE: Adjusted for year of diagnosis.

  • Abbreviations: CA, carcinoma; HS, high school.

  • aVariables based on neighborhood-level measures.