Table 3.

Summary of Logistic Regression Analysis for Variables Predicting Physician Preference for in-Person Visit as Compared to Telemedicine Encounter (n = 278)

Step 1Step 2Step 3Step 4
β(95% CI)β(95% CI)β(95% CI)β(95% CI)
Week of telemedicine implementation0.88***(0.81, 0.96)0.84**(0.75, 0.94)0.84**(0.75, 0.94)0.85**(0.75, 0.95)
Patient age ≥ 651.43(0.71, 2.89)0.59(0.23, 1.51)0.48(0.18, 1.26)0.46(0.17, 1.26)
Type of visit: -Routine visit type1.41(0.30, 6.57)0.98(0.14, 6.82)0.83(0.11, 6.21)0.76(0.10, 5.63)
- Type of visit: Evaluate new symptom visit1.63(0.38, 6.93)1.63(0.28, 9.59)1.55(0.25, 9.49)1.55(0.25, 9.49)
- Type of visit: Increase of symptoms visit5.21*(1.26, 21.57)2.03(0.35, 11.81)1.98(0.33, 11.90)2.04(0.34, 12.33)
- Type of visit: Results visit0.47(0.10, 2.27)0.68(0.11, 4.41)0.75(0.11, 5.01)0.72(0.11, 4.84)
Physical exam critical to encounter34.69***(15.19, 79.22)31.78***(13.80, 73.20)23.87***(10.17, 56.03)
Length of encounter1.07*(1.01, 1.13)1.07*(1.01, 1.13)
Physician satisfaction0.97**(0.94, 0.99)
  • Note: R2 = 0.23 for Step 1, ΔR2 = 0.35 for Step 2 (P < .001), ΔR2 = 0.02 for Step 3 (P < .05), ΔR2 = 0.02 for Step 4 (P < .01). *P < .05, **P < .01, ***P < .001.

  • CI, confidence interval.