Table 3.
Adjusted analysis using telehealth use during COVID-19 pandemic as outcome.
Predictors | Crudea | Multivariableb | ||
---|---|---|---|---|
OR (95% CI) | P value | OR (95% CI) | P value | |
Age | — | — | 0.31 (0.03–3.33) | 0.331 |
Disease duration | — | — | 3.30 (0.30–36.02) | 0.327 |
Age at onset | — | — | 3.27 (0.30–35.58) | 0.330 |
Taking L-dopa | 1.15 (0.81–1.62) | 0.472 | 0.89 (0.57–1.39) | 0.599 |
Received postsecondary education | 1.85 (1.19–2.88) | 0.007 | 2.05 (1.16–3.62) | 0.013 |
Gender, female | 0.84 (0.68–1.06) | 0.139 | 0.95 (0.72–1.26) | 0.736 |
Race, White | 1.08 (0.74–1.57) | 0.771 | 1.08 (0.66–1.76) | 0.757 |
Income | ||||
<50k | Reference | |||
50–100k | 1.05 (0.78–1.44) | 0.721 | 1.11 (0.79–1.56) | 0.558 |
>100k | 1.40 (1.00–1.94) | 0.047 | 1.54 (1.06–2.24) | 0.025 |
Employment | ||||
Unemployed | Reference | |||
Employed | 0.54 (0.34–0.85) | 0.007 | 0.46 (0.26–0.81) | 0.007 |
Retired | 0.75 (0.52–1.09) | 0.130 | 0.71 (0.42–1.20) | 0.205 |
Self-reported COVID-19 diagnosis | 1.06 (0.39–2.87) | 1.000c | 1.00 (0.29–3.43) | 0.994 |
State (cases per 100,000) | ||||
<200 | Reference | |||
200–570 | 1.10 (0.67–1.79) | 0.704 | 1.02 (0.57–1.82) | 0.951 |
>570 | 1.43 (0.86–2.38) | 0.168 | 1.25 (0.68–2.28) | 0.476 |
Nervous/anxious | 1.14 (0.90–1.44) | 0.280 | 0.82 (0.56–1.20) | 0.307 |
Worry | 1.20 (0.96–1.50) | 0.124 | 1.10 (0.76–1.60) | 0.606 |
Depressed/hopelessness | 1.27 (1.01–1.58) | 0.041 | 1.36 (0.93–1.97) | 0.109 |
Little interest in doing things | 1.21 (0.97–1.51) | 0.099 | 1.14 (0.80–1.62) | 0.483 |
Sleep interruption | 1.13 (0.89–1.42) | 0.338 | 1.07 (0.78–1.46) | 0.690 |
Isolated | 1.16 (0.93–1.45) | 0.211 | 1.11 (0.80–1.55) | 0.525 |
COVID-19 knowledge score | — | — | 0.80 (0.54–1.20) | 0.277 |
Had used telehealth before the pandemic | 2.15 (1.40–3.31) | <0.001 | 2.27 (1.34–3.85) | 0.002 |
OR odds ratio, CI confidence interval.
aChi-square test.
bLogistic regression.
cFisher’s exact.