Table 1.
Difference in respondents’ characteristics of mobile health app users and nonusers.
| Characteristic | App users, n (%) | Nonusers, n (%) | Chi-square (df) | P value | |
| Gender |
|
|
0.1 (1) |
.42 | |
|
|
Male | 62 (41.3) | 69 (46.0) |
|
|
|
|
Female | 88 (58.7) | 81 (54.0) |
|
|
| Age |
|
|
12.2 (2) | .002a | |
|
|
≤44 | 124 (82.7) | 98 (65.3) |
|
|
|
|
45-64 | 19 (12.7) | 42 (28.0) |
|
|
|
|
≥65 | 7 (4.6) | 10 (6.7) |
|
|
| Education |
|
|
9.3 (3) | .03a | |
|
|
Elementary and below | 3 (2.0) | 12 (8.0) |
|
|
|
|
Middle school | 15 (10.0) | 22 (14.7) |
|
|
|
|
High school | 38 (25.3) | 42 (28.0) |
|
|
|
|
College or above | 94 (62.7) | 74 (49.3) |
|
|
| Monthly income (￥) |
|
|
8.3 (4) | .08 | |
|
|
≤1999 | 16 (10.7) | 18 (12.0) |
|
|
|
|
2000-2999 | 25 (16.7) | 42 (28.0) |
|
|
|
|
3000-3999 | 35 (23.3) | 34 (22.7) |
|
|
|
|
4000-4999 | 28 (18.7) | 27 (18.0) |
|
|
|
|
≥5000 | 46 (30.6) | 29 (19.3) |
|
|
| Marital status |
|
|
0.1 (1) |
.78 | |
|
|
Single | 34 (22.7) | 32 (21.3) |
|
|
|
|
Ever married | 116 (77.3) | 118 (78.7) |
|
|
| Living place |
|
|
7.7 (1) | .006a | |
|
|
Urban areas | 122 (81.3) | 101 (67.3) |
|
|
|
|
Rural areas | 28 (18.7) | 49 (32.7) |
|
|
| Payment |
|
|
1.3 (2) | .52 | |
|
|
Pay completely out of pocket | 104 (69.3) | 96 (64.0) |
|
|
|
|
Partial reimbursement | 40 (26.7) | 49 (32.7) |
|
|
|
|
Complete reimbursement | 6 (4.0) | 5 (3.3) |
|
|
| Specialty services |
|
|
11.0 (4) | .03a | |
|
|
Internal medicine | 41 (27.3) | 49 (32.7) |
|
|
|
|
Surgery | 37 (24.7) | 42 (28.0) |
|
|
|
|
Obstetrics and gynecology | 29 (19.3) | 10 (6.7) |
|
|
|
|
Pediatrics | 10 (6.7) | 9 (6.0) |
|
|
|
|
Others | 33 (22.0) | 40 (26.6) |
|
|
| Self-rated health status |
|
|
6.4 (3) | .09 | |
|
|
Poor | 8 (5.3) | 16 (10.7) |
|
|
|
|
Fair | 62 (41.3) | 73 (48.7) |
|
|
|
|
Good | 64 (42.7) | 51 (34.0) |
|
|
|
|
Very good | 16 (10.7) | 10 (6.7) |
|
|
aRepresents the significance between the 2 groups.