Research Article

Factors Associated with Arkansans’ First Use of Telehealth during the COVID-19 Pandemic

Table 2

Odds of adopting telemedicine during the COVID-19 pandemic ().

Odds ratioStd. err.95% conf. interval value

Predisposing factors
Age (in years)0.9960.0060.98, 1.010.505
Gender
 Female1.130.1890.78, 1.640.513
Race/ethnicity
 Black0.570.270.33, 0.960.033
 Hispanic1.450.320.77, 2.730.254
 Other race or ethnicity1.010.450.42, 2.420.074
Educational attainment
 High school or less0.450.310.25, 0.830.010
 College 1-3 years or tech school0.730.190.50, 1.070.102
Marital status
 Married or partnered1.360.170.97, 1.910.08
Confidence filling out medical forms
 Confident1.780.340.92, 3.400.09
COVID-19 susceptibility scale1.060.090.88, 1.260.550
COVID-19 fear scale0.990.010.97, 1.020.404
Enabling factors
Annual income
 Under $25,0000.760.260.46, 1.270.300
 Over $50,0000.900.200.60, 1.340.594
Employment status
 Not employed for wages0.930.200.63, 1.380.708
Health insurance status
 Uninsured0.450.430.19, 1.050.064
Count of internet devices in the home1.120.130.87, 0.560.382
Current healthcare provider
 Yes, only one1.540.290.88, 2.690.131
 Yes, more than one2.330.301.30, 4.180.005
Stimulus check received
 Yes1.090.210.72, 1.650.686
Need for care factors
Count of chronic physical health conditions1.120.061.00, 1.250.043
Count of mental health conditions1.530.111.24, 1.88<0.001
Count of COVID-19-related stressors1.030.040.96, 1.100.391
Count of changes in healthcare related to COVID-193.490.122.78, 4.38<0.001
Count of barriers to care related to COVID-191.000.060.89, 1.121.00
Self-rated health during COVID-19 compared to before
 Worse1.360.280.79, 2.350.274
 Better1.120.210.75, 1.680.581