Table 3. Multiple regression modeling of the impact of social determinant factors for telemedicine usage across SE Wisconsin areas.
| Social determinant(log value) | Telemedicine groups | Coefficients | Std error | p -Value (Significance: “**” 0.01; “*” 0.05) |
|---|---|---|---|---|
| Median income | Video | 1.376 | 0.999 | 0.1711 |
| Phone | 0.601 | 0.8861 | 0.49895 | |
| White ratio | Video | −0.953 | 0.4204 | 0.0253* |
| Phone | −0.9955 | 0.3729 | 0.00867** | |
| College education rate | Video | 1.4196 | 0.5524 | 0.0114* |
| Phone | 0.7369 | 0.49 | 0.13529 | |
| Median age | Video | 0.096 | 1.6173 | 0.9529 |
| Phone | 0.8949 | 1.4345 | 0.05339 |