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. 2024 Jan 22;26:e52085. doi: 10.2196/52085

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).