Table 1. Characteristics of the study participants.
| Characteristics | Values (N=1163)a |
|---|---|
| Age (years), mean (SD) | 51.9 (9.6) |
| Sex, n (%) | |
| Male | 80 (6.9) |
| Female | 1083 (93.1) |
| Education, (n%) | |
| Primary or lower secondary | 24 (2.1) |
| Upper secondary ≤2 years | 459 (39.5) |
| Upper secondary 3 years | 501 (43.1) |
| Postsecondary <3 years | 124 (10.7) |
| Postsecondary ≥3 years | 55 (4.7) |
| Workplace, n (%) | |
| Home care | 382 (32.8) |
| Care home | 752 (64.7) |
| Work experience (years), n (%) | |
| ≥15 | 902 (77.6) |
| 10‐14 | 146 (12.6) |
| <10 | 110 (9.5) |
| Welfare technologies, n (%) | |
| Digital locks | 619 (53.2) |
| Cameras or sensors | 387 (33.3) |
| Digital support in medicine | 362 (31.1) |
| Activity and training | 110 (9.5) |
| Digital support in grocery shopping | 169 (14.5) |
| Digital communication between care provider and care recipient | 103 (8.9) |
| Digital communication between colleagues | 271 (23.3) |
| Digital documentation and planning | 852 (73.3) |
| Not using welfare technologies | 64 (5.8) |
| Training in the use of welfare technologies, n (%) | 606 (52.1) |
| Continuity of care, n (%) | 603 (51.8) |
| Patient participation, n (%) | 511 (43.1) |
| Reduction in loneliness or social isolation, n (%) | 420 (36.1) |
| Upskilling, n (%) | 810 (69.6) |
a
Missing data were 2.5% for workplace and 0.4% for work experience. A total of 51 participants lacked complete information on welfare technologies, training, and dependent variables. Missing values for dependent variables were 9% for training, 11% for continuity of care, 10% for participation, and 8% for upskilling.