Table 4.
Comparison of telemedicine domains across significant demographic variables (n = 550).
| Telemedicine Use | Mean Difference | ±SD | 95% Confidence Interval of the Difference |
|---|---|---|---|
| Perceived benefit | |||
| Primary school versus no education | 5.1 | ±1.1 *** | 7.6–2.5 |
| Secondary school versus no education | 4.0 | ±1.0 *** | 6.3–1.6 |
| University/college versus no education | 4.5 | ±0.9 *** | 6.5–2.3 |
| ANOVA, f = 8.5 **, df = 3 | |||
| Middle family income versus low income | 1.1 | ±0.5 * | 2.2–0.9 |
| High family income versus low income | 1.2 | ±0.6 * | 2.1–0.3 |
| ANOVA, f = 2.8 *, df = 2 | |||
| Accessibility | |||
| Male versus female | 1.6 | ±0.3 * | 0.1–1.2 |
| t-test, t = 1.9 *, df = 548 | |||
| Married versus single | −0.7 | ±0.3 * | −1.4–−0.1 |
| ANOVA, f = 2.7 *, df = 2 | |||
| Primary school versus no education | 3.2 | ±0.9 ** | 5.2–1.1 |
| Secondary school versus no education | 2.2 | ±1.0 * | 4.1–0.3 |
| University/college versus no education | 2.4 | ±0.9 ** | 4.1–0.7 |
| ANOVA, f = 4.3 **, df = 3 | |||
| Privacy and discomfort | |||
| Married versus single | −1.0 | ±0.4 * | −1.8–−1.0 |
| ANOVA, f = 3.2 *, df = 2 | |||
| University/college versus no education | 2.5 | ±0.9 * | 0.4–4.5 |
| ANOVA, f = 3.9 **, df = 3 | |||
| Part-time/casual versus full-time | 1.9 | ±0.6 ** | 0.5–3.2 |
| ANOVA, f = 4.7 **, df = 2 | |||
| High family income versus low income | 1.3 | ±0.6 * | −0.9–2.5 |
| ANOVA, f = 6.2 **, df = 2 | |||
| Care personnel concerns | |||
| Male versus female | −1.5 | ±0.2 * | −1.1–−0.2 |
| t-test, t = −2.1 *, df = 548 | |||
| 26–40 years of age versus 18–25 years of age | 0.7 | ±0.2 * | −0.8–1.2 |
| ≥41 years of age versus 18–25 years of age | 1.1 | ±0.6 * | −0.2–1.9 |
| ANOVA, f = 5.3 **, df = 2 | |||
| Usability | |||
| Male versus female | 0.5 | ±0.2 * | 0.02–0.9 |
| t-test, t = −2.3 *, df = 548 | |||
| Primary school versus no education | 2.8 | ±0.7 ** | 4.3–1.2 |
| Secondary school versus no education | 2.5 | ±0.6 ** | 3.9–1.1 |
| University/college versus no education | 2.6 | ±0.5 ** | 3.8–1.3 |
| ANOVA, f = 7.8 **, df = 3 | |||
| High family income versus low income | 1.2 | ±0.3 ** | 1.9–0.4 |
| ANOVA, f = 8.7 **, df = 2 | |||
| Satisfaction | |||
| Male versus female | 0.9 | ±0.3 ** | 0.3–1.4 |
| t-test, t = −3.1 **, df = 548 | |||
| Primary school versus no education | 3.3 | ±0.7 ** | −5.1–−1.5 |
| University/college versus no education | 1.8 | ±0.5 * | −3.3–−0.4 |
| ANOVA, f = 6.8 **, df = 3 | |||
| Middle family income versus low income | 1.1 | ±0.4 * | −0.02–1.9 |
| High family income versus low income | 0.9 | ±0.4 * | 0.6–1.2 |
| ANOVA, f = 3.3 *, df = 2 | |||
* p < 0.05, ** p < 0.01, and *** p < 0.001.