Table 2.

Logistic Regression Predicting the Odds of Telehealth Utilization for People with a Mental Health Diagnosis (n = 754)

	OR	SE	p	95% CI
Age (in years)	1.01	0.006	0.218	0.99–0.02
Malea	0.78	0.21	0.224	0.52–1.17
Educationb
Some college or tech school	1.10	0.24	0.688	0.69–1.76
College degree or more	1.67	0.26	0.050	1.00–2.77
Incomec
$25,000 to under $50,000	1.37	0.24	0.198	0.85–2.21
≥$50,000	1.23	0.27	0.434	0.73–2.09
Race/ethnicityd
Black	1.33	0.26	0.271	0.80–2.23
Other	1.68	0.33	0.115	0.88–3.20
Self-rated healthe
Excellent	0.69	0.35	0.287	0.35–1.36
Fair	1.40	0.22	0.141	0.90–2.14
Poor	1.04	0.32	0.892	0.56–1.94
Self-rated mental healthf
Excellent	1.40	0.30	0.266	0.78–2.52
Somewhat good	0.95	0.26	0.845	0.57–1.58
Somewhat poor or poor	1.08	0.24	0.764	0.67–1.72
Anxiety and/or depression diagnosis	2.97	0.21	<0.001	1.95–4.52

Bolded p-values are significant at the p < 0.05 level.

^a Ref = female; ^bRef = high school or less; ^cRef = <$25,000; ^dRef = white; ^eRef = good; ^fRef = average.

CI, confidence interval; OR, odds ratio; SE, standard error.