Table 2.
Sample characteristics.
| Demographic Characteristics | Have used m-Health (N = 371) 55.8% |
Have not used m-Health (N = 294) 44.2% |
||
|---|---|---|---|---|
| Frequency | % | Frequency | % | |
| Gender | ||||
| Male | 173 | 46.6 | 144 | 49.0 |
| Female | 198 | 53.4 | 150 | 51.0 |
| Age | ||||
| 20–30 years | 111 | 29.9 | 111 | 37.8 |
| 31–50 years | 175 | 47.2 | 101 | 34.4 |
| More than 51 years | 85 | 22.9 | 82 | 27.9 |
| Education | ||||
| Below senior high school | 40 | 10.8 | 55 | 18.7 |
| University | 206 | 55.5 | 175 | 59.5 |
| Above of Master | 125 | 33.7 | 64 | 21.8 |
| Profession | ||||
| Employee | 295 | 79.5 | 203 | 69.1 |
| Student | 55 | 14.8 | 60 | 20.4 |
| Home keeper | 21 | 5.7 | 31 | 10.5 |
| About COVID-19 | ||||
| (a) Home quarantine | ||||
| Yes | 11 | 3.0 | 6 | 2.0 |
| No | 360 | 97.0 | 288 | 98.0 |
| (b) Quarantine place | (N = 11) | (N = 6) | ||
| Home | 9 | 5 | ||
| Epidemic Prevention Hotel | 2 | 1 | ||
| (c) Priority medical service | (N = 11) | (N = 6) | ||
| m-Health services or Apps | 6 | 1 | ||
| Face-to-face service | 4 | 3 | ||
| Emergency call 119 | 1 | 2 | ||
| (d) Use of m-Health APP related to COVID-19 in the past three moths | (N = 665) | (N = 665) | ||
| Yes | 371 | 55.8 | ||
| No | 294 | 44.2% | ||