Table 1.
Participant characteristics (N=39).
| Variables | Values | ||
| Age (years), mean (SD) | 45.2 (11.1) | ||
| Main work setting, n (%) | |||
|
|
Family medicine | 12 (31) | |
|
|
Hospital | 10 (26) | |
|
|
Mental health clinic | 5 (13) | |
|
|
Nursing and residential care | 5 (13) | |
|
|
eHealth supplier | 4 (10) | |
|
|
Research institute | 2 (5) | |
|
|
Patient experts (self-employed) | 1 (3) | |
| Main profession, n (%)a | |||
|
|
Manager, director, or project leader | 16 (41) | |
|
|
Health care professional (eg, physician, nurse, therapist, or psychologist) | 14 (36) | |
|
|
Patient expert (eg, patient or caregiver) | 5 (13) | |
|
|
Researcher | 3 (8) | |
|
|
Unknown | 1 (3) | |
| eHealth technology experience, n (%)b | |||
|
|
Apps | 37 (25.2) | |
|
|
Web portals (eg, electronic health records or personal care records) | 35 (23.8) | |
|
|
Video communication | 34 (23.1) | |
|
|
Sensors and wearables | 23 (15.6) | |
|
|
Artificial intelligence | 13 (8.8) | |
|
|
Domotica and robotica | 10 (6.8) | |
| Estimated level of experience with eHealth, n (%) | |||
|
|
Extensive experience | 23 (59) | |
|
|
Moderated experience | 15 (38) | |
|
|
Limited experience | 1 (3) | |
aMany participants had dual roles, from which they were asked to choose one role.
bParticipants could select multiple answers.