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. 2022 Jun 29;17(6):e0269535. doi: 10.1371/journal.pone.0269535

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.