H13: Positive attitudes towards the services offered by online healthcare have a positive effect on satisfaction with current e-health services.
Numerous studies have shown the relationship between positive attitudes and the adoption/experience of new technologies [27, 36, 55]. We expect a similar effect between positive attitudes and intention to try and willingness to use telediagnostics, and we hypothesise that it will also have a positive effect on satisfaction.
RESULTS
Based on the previous chapter, we created the database. We used the average score method to create the constructs we wanted to test (based on the responses we re­ceived), and we included demographic variables. The dependent variables were as follows:
And the explanatory variables are:
The analysis of the results obtained was divided into three parts. In the first, we used an OLS model to investigate how the explanatory variables listed affect willingness to try and intention to use. In the second, a logit model was used to examine which factors played a key role for those who have already used an e-health service, while in the third, an OLS model was used to examine the effect of con­structs and demographical variables on satisfaction . The basic regression model was as follows (robust standard error was used for OLS regression models):
\begin{equation} DependentVariable=\beta_{0}+\beta_{1}Attitude+\beta_{2}TechnologicalReadiness+\nonumber \\ \end{equation}\begin{equation} +\beta_{3}Fear+\ \beta_{4}Ind.Benefits+\beta_{5}SocialBenefits+\ \beta_{6}CovidAnxiety+\beta_{7}Gender+\nonumber \\ \end{equation}\begin{equation} +\ \beta_{8}Age+\beta_{9}Child\ +\beta_{10}\text{Residence}+\beta_{11}\text{Education\ }+\beta_{12}\text{Income}\nonumber \\ \end{equation}