Table 2. Multivariable mixed effects logistic regression model with any outpatient telemedicine encounter as outcome.
Odds Ratio (95% CI) | p-value | |
---|---|---|
Age | 0.995 (0.993, 0.997) | <0.001 |
Female | 1.24 (1.22, 1.27) | <0.001 |
Non-Hispanic White | Reference | |
Hispanic (Any race) | 1.40 (1.33, 1.46) | <0.001 |
Non-Hispanic Black | 0.88 (0.84, 0.93) | <0.001 |
Non-Hispanic other race | 1.29 (1.20, 1.38) | <0.001 |
Primarily non-English speaking | Reference | |
Primarily English speaking | 0.78 (0.74, 0.83) | <0.001 |
Proportion of residents living in rural areas | 0.99 (0.98, 1.00) | 0.10 |
Socioeconomic index a | 1.01 (1.00, 1.02) | 0.02 |
Household composition and disability index a | 1.00 (0.99, 1.00) | 0.44 |
Minority status and language index a | 0.99 (0.98, 1.01) | 0.24 |
Housing type and transportation index a | 0.999 (0.997, 0.999) | 0.04 |
a. Sub-component of the CDC Social Vulnerability Index (SVI) based on Centers for Disease Control and Prevention methodology [9]. Higher value of SVI sub-component indicates greater degree of social vulnerability of an area to a health disaster.
Coefficients for indicator variables for medical comorbidities included in Table 5 in S1 Appendix.