Table 1.
Demographic Attributes of the Participants
| Category and attribute | No. (%) of participants (n=76) |
| Age, y | |
| <25 | 27 (35.5) |
| 25–34 | 26 (34.2) |
| 35–44 | 13 (17.1) |
| 45–54 | 5 (6.6) |
| ≥55 | 5 (6.6) |
| Gender | |
| Male | 27 (35.5) |
| Female | 48 (63.2) |
| Prefer not to disclose | 1 (1.3) |
| Highest education completed | |
| Undergraduate degree | 32 (42.1) |
| College degree | 6 (7.9) |
| Master's degree | 36 (47.4) |
| PhD | 1 (1.3) |
| Other | 1 (1.3) |
| Years in practice | |
| 0 (student) | 46 (60.5) |
| 1–4 | 4 (5.3) |
| 5–10 | 5 (6.6) |
| 11–20 | 10 (13.2) |
| >20 | 11 (14.5) |
| Primary practice setting | |
| Private | 18 (23.7) |
| Acute care hospital | 5 (6.6) |
| Rehab hospital | 20 (26.3) |
| Home-based care | 2 (2.6) |
| n/a | 31 (40.8) |
| Own a smartphone? | |
| Yes | 75 (98.7) |
| No | 1 (1.3) |
| Wear (or have worn) a wearable tracking device? | |
| Yes | 46 (60.5) |
| No | 30 (39.5) |
| Type of mHealth device used | |
| Activity tracker | 1 (1.3) |
| Pedometer | 4 (5.3) |
| Smartphone (embedded sensors) | 6 (7.9) |
| Watch or band | 30 (39.5) |
| Multiple devices | 7 (9.2) |
n/a=not applicable.