Research Article
Extending the Utility of UTAUT2 for Hospital Patients’ Adoption of Medical Apps: Moderating Effects of e-Health Literacy
Table 2
Profiles of respondents (N = 692).
| Factor/level | N | % |
| Gender | | | Male | 290 | 46.1 | Female | 339 | 53.9 | Age | | | ≦ 49 | 420 | 66.7 | 50–59 | 102 | 16.3 | 60–69 | 80 | 12.7 | ≧ 70 | 27 | 4.3 | Formal education | | | Elementary school and below | 22 | 3.5 | Junior high school | 38 | 6.0 | Senior/vocational high school | 138 | 21.9 | College and university | 355 | 56.4 | Graduate institute and above | 76 | 12.1 | Monthly income | | | < 20,000 | 121 | 19.2 | 20,001–40,000 | 280 | 44.5 | 40,001–60,000 | 154 | 24.5 | 60,001–80,000 | 40 | 6.4 | 80,001–100,000 | 22 | 3.5 | > 100,001 | 12 | 1.9 | Intention to use the medical app system | | | Highly willing | 166 | 26.4 | Willing | 266 | 42.3 | Neutral | 166 | 26.4 | Unwilling | 27 | 4.3 | Highly unwilling | 4 | 0.6 |
|
|