Table 1.
Characteristics of potential users (N=716).
| Characteristic | Values, n (%) | ||
| Sex | |||
|
|
Female | 343 (47.9) | |
|
|
Male | 369 (51.5) | |
|
|
Transgendera | 2 (0.3) | |
|
|
Othera | 1 (0.1) | |
|
|
PNAa,b | 1 (0.1) | |
| Age (years) | |||
|
|
18-44 | 204 (28.5) | |
|
|
45-64 | 155 (21.7) | |
|
|
≥65 | 357 (49.9) | |
| Region | |||
|
|
Atlantic | 47 (6.6) | |
|
|
Central | 418 (58.4) | |
|
|
Prairie | 145 (20.3) | |
|
|
West Coast | 106 (14.8) | |
| Income (CAD$; US $) | |||
|
|
<$80,000 ($62,380) | 401 (56) | |
|
|
>$80,000 ($62,380) | 258 (36) | |
|
|
PNA | 57 (8) | |
| Health care use | |||
|
|
High (>20) | 146 (20.4) | |
|
|
Low (≤20) | 559 (78.1) | |
|
|
IDKc | 11 (1.5) | |
| Caregiver | |||
|
|
No | 621 (86.7) | |
|
|
Yes | 95 (13.3) | |
| Quality of care | |||
|
|
Good | 609 (85.1) | |
|
|
Poor | 92 (12.9) | |
|
|
IDK | 15 (2.1) | |
| Prior digital health use | |||
|
|
Yes | 471 (65.8) | |
|
|
No | 245 (34.2) | |
| Engaged patient | |||
|
|
Yes | 612 (85.5) | |
|
|
No | 104 (14.5) | |
| Sensitivity of PHId | |||
|
|
High (≥10) | 364 (50.8) | |
|
|
Low (<10) | 352 (49.2) | |
| Sensitivity of digital health data | |||
|
|
High (≥11) | 383 (53.5) | |
|
|
Low (<11) | 333 (46.5) | |
| Web-based privacy experience | |||
|
|
Good | 535 (74.7) | |
|
|
Poor | 134 (18.7) | |
|
|
IDK | 47 (6.6) | |
| Privacy breach | |||
|
|
Yes, resolved | 70 (9.8) | |
|
|
Yes, not resolved or IDK | 29 (4.1) | |
|
|
No breach | 617 (86.2) | |
| Health care privacy experiences | |||
|
|
Good | 643 (89.8) | |
|
|
Poor | 51 (7.1) | |
|
|
IDK | 22 (3.1) | |
| Confidentiality of records | |||
|
|
Private | 644 (89.9) | |
|
|
Not private | 37 (5.2) | |
|
|
IDK | 35 (4.9) | |
aIndicates subpopulations that were excluded from the logistic regression model.
bPNA: prefer not to answer.
cIDK: I do not know.
dPHI: personal health information.