Note: *p < 0.1; **p < 0.05; ***p < 0.01
The model clearly shows that avoiding a coronavirus infection is a strong motivator to increase the willingness to try. In this context, age also became an important factor: although one might expect the older generation to be more wary of modern technology, the coronavirus has left a deep impression on the older generation. As COVID-19 could be with us for a long time, it is understandable that older people would be more inclined to try telediagnostics. This is probably the reason why technological readiness does not play a significant role in the willingness to try. Experience to date suggests that in the long term the use of telediagnostics will not be primarily a matter of technological readiness, but will probably be the only option available. For example, during the pandemic it was very rare to see a doctor in person, results of antigen and antibody and PCR tests could only be accessed through the EESZT, just as vaccination/immunity cards and digital EU Green Passes could only be downloaded through the EESZT.
The situation is similar for positive attitudes and individual benefits: a unit increase in both variables increases the willingness to try, ceteris paribus. The fear variable for technophobia also gave the expected result, i.e. a strong negative effect on the willingness to try, which is understandable: if someone is afraid of data theft, for example, they are less likely to try telediagnostics. Overall, then, we can say that those who are open to the service and expect significant personal benefits (and who tend to belong to the older generation) are more likely to try telediagnostics, and that the more sceptical and distrustful they are of e-health, the less likely they are to try it.
We found very similar results for the other model we used to test intention to use: those who are open to e-health and expect significant personal benefits are more likely to make the full switch. However, for continuous use, technophobia was removed from the equation, while gender (men are more open to switching) was included with a positive effect and technological proficiency with a negative effect. The latter is probably due to social reasons, which will be discussed in the discussion section.