Table 4.
|
Female (n=388), n (%)a | Male (n=404), n (%)a |
P valueb |
aOR (95% CI) for male/female; reference: femalec |
|
Interest, knowledge, and confidence in digital medicine: “fully agree” or “agree” | |||||
|
Interest in digital medicine | 224 (57.7) | 240 (59.4) | .94 | 1.22 (0.87-1.74) |
|
Good knowledge of digital medicine | 119 (30.7) | 158 (39.1) | .02 | 1.71 (1.18-2.46) |
|
Confidence in using digital applications | 154 (39.7) | 186 (46.0) | .09 | 1.44 (1.01-2.04) |
Use of digital application: “very frequent” or “frequent” | |||||
|
Real-time video consultation | 31 (8.0) | 31 (7.7) | .86 | 1.01 (0.52-1.97) |
|
Asynchronous communication with patients (eg, email and SMS text message) | 174 (44.8) | 184 (45.5) | .86 | 1.19 (0.84-1.67) |
|
Real-time communication for professional exchange (eg, video conference) | 100 (25.8) | 85 (21.0) | .10 | 0.79 (0.53-1.19) |
|
Asynchronous communication for professional exchange (eg, email and SMS text message) | 187 (48.2) | 179 (44.3) | .24 | 0.92 (0.65-1.29) |
|
Remote patient monitoring | 30 (7.7) | 27 (5.7) | .45 | 0.94 (0.48-1.86) |
|
Electronic reminder of appointments for patients | 98 (25.3) | 119 (29.5) | .34 | 1.35 (0.92-1.98) |
|
Electronic doctor’s letter | 53 (13.7) | 56 (13.7) | .89 | 0.79 (0.48-1.31) |
|
Electronic or web-based data from patients (eg, apps, wearables, and body values) | 16 (4.1) | 23 (5.7) | .30 | 1.57 (0.69-3.57) |
|
Artificial intelligence applications for diagnostic purposes | 93 (24.0) | 77 (19.1) | .09 | 0.87 (0.57-1.31) |
Expectations of digital medicine | |||||
|
Importance of digital transformation in Germany in the future: “great importance” | 267 (68.8) | 237 (58.7) | .04 | 0.67 (0.49-0.93) |
|
Expectation of risks associated with digital medicine: “great risks” | 132 (34.0) | 173 (42.8) | .02 | 1.39 (0.97-1.97) |
|
Know guideline “Practice of teledermatology:” “yes, read” | 58 (14.9) | 79 (19.6) | .09 | 1.32 (0.85-2.05) |
|
Procedures eases practical activity: “yes” and “partly” | 175 (45.1) | 167 (41.3) | .34 | 1.13 (0.80-1.60) |
|
Importance of digital health applications (DiGAd) in the future: “great importance” | 167 (43.0) | 134 (33.2) | .05 | 0.57 (0.40-0.80) |
Connection to the national telematics infrastructure: “yes” and “no, but requested” | |||||
|
Telematic infrastructure | 322 (83.0) | 326 (80.7) | .43 | 0.96 (0.63-1.47) |
|
Electronic health professional card (eHBAe) | 314 (80.9) | 320 (79.2) | .41 | 0.97 (0.64-1.49) |
SARS-CoV-2 pandemic and digitalization | |||||
|
Increased the use of digital applications due to SARS-CoV-2: “yes” | 162 (41.8) | 135 (33.4) | .02 | 0.82 (0.32-2.10) |
|
Continue to use applications in the future: “yes” and “partially” | 151 (93.2) | 127 (94.1) | .50 | 0.40 (0.13-1.28) |
aUnadusted or crude values.
bChi-square tests were performed.
cLogistic regressions were performed. The following items were included as independent variables: age (≥50 years or <50 years) and regional allocation (urban or rural).
dDiGAs: Digitale Gesundheitsanwendungen.
eeHBA: elektronischer Heilberufeausweis.