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. 2024 Jan 30;8(1):e23.00140. doi: 10.5435/JAAOSGlobal-D-23-00140

Table 3.

Univariate and Multivariate Logistic Regression for Missing Second Appointment

Variable OR* (CI) P OR P
Age 0.98 (0.96-0.99) 0.001
Male 1.70 (1.01-2.84) 0.041 1.84 (1.05-3.25) 0.035
Race 0.007
 White Ref Ref
 Black/African American 3.47 (1.49-8.13) 0.004 2.54 (1.01-6.40) 0.048
 Native American Perfect attendance Perfect attendance
Ethnicity
 Not Hispanic or Latino Ref
 Hispanic or Latino 0.90 (0.53-1.54) 0.713
Insurance <0.001
 Private Ref Ref
 Self-pay 3.96 (1.76-8.90) 0.001 3.10 (1.34-7.14) 0.008
 Veteran's Administration 0.68 (0.14-3.20) 0.626 0.59 (0.12-2.84) 0.512
 Workers' compensation 0.32 (0.07-1.47) 0.800 0.24 (0.05-1.10) 0.049
 Accident coverage 1.97 (0.58-6.70) 0.280 1.38 (0.40-4.84) 0.612
 Medicare 0.66 (0.26-1.66) 0.378 0.70 (0.28-1.77) 0.451
 Medicaid 2.91 (1.43-5.96) 0.003 2.66 (1.26-5.61) 0.010
Mechanism of pathology
 Trauma 1.53 (0.91-2.55) 0.100
Distance (per 10 miles) 1.02 (1.01-1.04) 0.001
 >70 miles 1.95 (1.18-3.21) 0.009 1.99 (1.16-3.41) 0.012

OR* (CI) = Univariate Odds Ratios found in Figures 1-3, OR = Multivariate Odds Ratios found in Figures 5-7.

Bolded P-values are considered significant.