Table 1.

Patient Characteristics and Predictors of Telemedicine Visits Being Conducted Using Audio-Video Technology Versus Telephone Only. Model Adjusted for Specialties as Fixed Effects and Clinic Sites as Random Effects, and Accounted for Multiple Visits by Same Patient at the Practice Level Through Inverse Weighting; Odds Ratios (OR) Lower Than 1 Denotes Lower Odds of Audio-Video Telemedicine Visits

Characteristic	Unique patients (N = 50,101)	Odds ratio (95% CI)	P value
Age range
0 to 11	4382 (4.4%)	1.20 (0.94 to 1.53)	0.15
12 to 17	2747 (5.5%)	0.89 (0.66 to 1.20)	0.43
18 to 44	17,561 (35.1%)	Ref	Ref
45 to 64	12,813 (25.6%)	0.38 (0.32 to 0.45)	< 0.001
65 and above	12,598 (25.2%)	0.18 (0.14 to 0.23)	< 0.001
Female gender	30,500 (60.9%)	1.03 (0.91 to 1.16)	0.65
Race
White	21,983 (43.9%)	Ref	Ref
American Indian/Alaska Native	108 (0.2%)	0.91 (0.54 to 1.52)	0.72
Asian	1470 (2.9%)	1.17 (0.91 to 1.51)	0.21
Black or African American	6034 (12.0%)	0.80 (0.72 to 0.89)	< 0.001
Native Hawaiian/Pacific Islander	273 (0.5%)	0.95 (0.65 to 1.39)	0.79
Other/Declined to Answer	20,233 (40.4%)	0.87 (0.80 to 0.94)	< 0.001
Hispanic or primary language Spanish	13,499 (26.9%)	0.82 (0.74 to 0.91)	< 0.001
Primary insurance
Commercial	26,479 (52.9%)	Ref	Ref
Medicaid	10,990 (21.9%)	0.57 (0.48 to 0.68)	< 0.001
Medicare	12,632 (25.2%)	0.52 (0.44 to 0.63)	< 0.001