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 |
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