Table 5.
Model parameters of the regression model predicting overall digital maturity (N=219).
| Model number | Included variablesa | F (dfM, dfR) | P value | R 2 | ΔR2 | ΔP value |
| 1 | Demographics and practice-related characteristics | 0.865 (16,202) | .61 | 0.064 | 0.064 | .61 |
| 2 | Demographics, practice-related characteristics, and digital health use | 1.274 (21,197) | .20 | 0.120 | 0.056 | .03 |
| 3 | Demographics, practice-related characteristics, digital health use, and digital affinity | 2.676 (23,195) | .001 | 0.240 | 0.120 | .001 |
| 4 | Demographics, practice-related characteristics, digital health use, digital affinity, and personality | 3.029 (28,190) | .001 | 0.309 | 0.069 | .003 |
aThe models with their respective variables that were included in the different stages of our approach are as follows: model 1 (gender, age dummy coded, practice location size dummy coded, professional experience dummy coded, and practice type dummy coded), model 2 (model 1 variables, current use dummy coded, and expected future use); model 3 (model 2 variables, perceived digital affinity of medical assistants, and general practitioners’ digital affinity) and model 4 (model 3 variables, extraversion, agreeableness, conscientiousness, neuroticism, and openness).