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

Table 4.

Univariate and Multivariate Logistic Regression for Missing Either Appointment

Variable OR* (CI) P OR P
Age 0.98 (0.96-0.99) 0.004
Male 1.57 (0.95-2.58) 0.073 1.74 (1.01-3.01) 0.047
Race 0.003
 White Ref Ref
 Black/African American 3.82 (1.67-8.77) 0.002 2.78 (1.12-6.91) 0.027
 Native American Perfect attendance Perfect attendance
Ethnicity 0.461
 Not Hispanic or Latino Ref
 Hispanic or Latino 0.86 (0.51-1.46) 0.585
Insurance <0.001
 Private Ref Ref
 Veteran's Administration 0.68 (0.14-3.20) 0.626 0.60 (0.13-2.89) 0.528
 Medicare 0.84 (0.35-2.00) 0.698 0.90 (0.37-2.16) 0.806
 Medicaid 3.34 (1.65-6.78) 0.001 3.05 (1.46-6.37) 0.003
 Accident coverage 1.97 (0.58-6.70) 0.041 1.38 (0.40-4.85) 0.608
 Workers' compensation 0.32 (0.07-1.48) 0.144 0.23 (0.05-0.96) 0.045
 Self-pay 3.96 (1.76-8.90) 0.001 3.12 (1.35-7.21) 0.008
Mechanism of pathology
 Trauma 1.51 (0.92-2.48) 0.100
Distance (per 10 miles) 1.02 (1.01-1.04) 0.001
 >70 miles 1.92 (1.18-3.12) 0.008 2.02 (1.19-3.42) 0.009

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.