| Literature DB >> 28874336 |
Lieneke Fm Ariens1, Florine Ml Schussler-Raymakers1, Cynthia Frima1, Annebeth Flinterman2, Eefje Hamminga2, Bernd Wm Arents3, Carla Afm Bruijnzeel-Koomen1, Marjolein S de Bruin-Weller1, Harmieke van Os-Medendorp1.
Abstract
BACKGROUND: The number of eHealth interventions in the management of chronic diseases such as atopic dermatitis (AD) is growing. Despite promising results, the implementation and use of these interventions is limited.Entities:
Keywords: barriers; dermatology; eHealth; facilitators; implementation
Mesh:
Year: 2017 PMID: 28874336 PMCID: PMC5605757 DOI: 10.2196/jmir.7512
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Characteristics of respondents.
| Characteristics | Total (n=99) | No experience with digital care (n=42) | Experience with digital care (n=57) | |||
| Dermatologist (n=26) | Nurse (n=16) | Dermatologist (n=39) | Nurse (n=18) | |||
| Male | 34 (34) | 12 (46) | 0 (0) | 22 (56) | 0 (0) | |
| Female | 65 (66) | 14 (54) | 16 (100) | 17 (44) | 18 (100) | |
| Age (missing n=1), mean (SD) | 47.0 (10.5) | 45.0 (12.6) | 50.4 (6.6) | 46.1 (10.9) | 48.7 (8.8) | |
| General hospital | 50 (51) | 12 (46) | 12 (75) | 16 (41) | 10 (56) | |
| University hospital | 37 (37) | 13 (50) | 2 (13) | 16 (41) | 6 (33) | |
| Primary care or home health care or other | 5 (5) | 0 (0) | 2 (13) | 1 (3) | 2 (11) | |
| Independent treatment centre | 7 (7) | 1 (4) | 0 (0) | 6 (15) | 0 (0) | |
| E-consultation | 23 (23) | 0 (0) | 0 (0) | 15 (39) | 8 (44) | |
| Patient portal | 16 (16) | 0 (0) | 0 (0) | 7 (18) | 9 (50) | |
| Web-based self-management training | 14 (14) | 0 (0) | 0 (0) | 4 (10) | 10 (56) | |
| Teledermatology | 18 (18) | 0 (0) | 0 (0) | 18 (46) | 0 (0) | |
| Video of webcam consult | 2 (2) | 0 (0) | 0 (0) | 1 (3) | 1 (6) | |
| Othera | 9 (9) | 0 (0) | 0 (0) | 8 (21) | 1 (6) | |
aOther eHealth tools such as wound-telemonitoring system, portal for Web-based questionnaires, informational site.
Figure 1Percentage of participants scoring totally agree or agree on statements related to the context.
Figure 2Percentage of participants scoring totally agree or agree on statements related to the intervention.
Figure 3Percentage of participants scoring totally agree or agree on statements related to the workforce.
Characteristics of participants of the online focus group.
| Characteristics | ID | Sex | Age | Educational levela | Internet use | Internet skills |
| 1 | F | 37 | Medium | (almost) daily | Good | |
| 2 | F | 33 | High | (almost) daily | Good | |
| 3 | F | 19 | Medium | (almost) daily | Good | |
| 4 | F | 24 | High | (almost) daily | Moderate | |
| 5 | F | 55 | Low | Several times a week | Moderate | |
| 6 | F | 34 | High | (almost) daily | Very good | |
| 7 | F | 45 | Low | (almost) daily | Good | |
| 8 | F | 21 | Medium | (almost) daily | Good | |
| 9 | M | 59 | High | (almost) daily | Very good | |
aEducational level: low, elementary education, high school or middle-level applied education; high: higher professional or academic education.