Table 3.

Results of the logistics regressions for whether a patient used a specific specialty with predictor variables the patient's age, gender, and location.

Predictor variables	Coefficient	Standard error of coefficient	Z	P-value	Odds ratio
					Mean	95% confidence Interval
						Lower bound	Upper bound
Binary outcome “Did the patient use teledermatology?” Likelihood ratio χ2 = 583.87 with p < 0.001
Urban	−1.824	0.110	−16.65	< 0.001	0.161	0.1310	0.200
Male	−0.801	0.100	−7.98	< 0.001	0.449	0.369	0.547
Age	0.021	0.002	9.11	< 0.001	1.022 1.017	1.026
Constant	0.351	0.113	3.10	0.002	1.420 1.137	1.772
Binary outcome “Did the patient use child telepsychiatry?” Likelihood ratio χ2 = 1145.21 with p < 0.001
Urban	1.706	0.125	13.67	< 0.001	5.505 4.311	7.030
Male	1.378	0.129	10.66	< 0.001	3.968 3.080	5.112
Age	−0.105	0.006	−16.95	< 0.001	0.901	0.890	0.912
Constant	0.074	0.148	0.50	0.616	1.077	0.805	1.441
Binary outcome “Did the patient use adult telepsychiatry?” Likelihood ratio χ2 = 123.01 with p < 0.001
Urban	0.722	0.138	5.24	< 0.001	2.059 1.572	2.697
Male	−0.046	0.131	−0.35	0.725	0.955	0.739	1.234
Age	0.030	0.003	10.43	< 0.001	1.030 1.025	1.036
Constant	−3.125	0.178	−17.53	< 0.001	0.044	0.031	0.062
Binary outcome “Did the patient use telepsychiatry (child or adult)?” Likelihood ratio χ2 = 617.19 with p < 0.001
Urban	1.640	0.107	15.39	< 0.001	5.153 4.182	6.350
Male	0.933	0.102	9.18	< 0.001	2.543 2.084	3.104
Age	−0.028	0.002	−11.31	< 0.001	0.972	0.968	0.977
Constant	−0.367	0.114	−3.21	0.001	0.693	0.554	0.867