Table 3.
ANOVAs for overall digital maturity (N=219).
| Variable | Welch F (df1, df2) | P value | |||
| Demographics and practice-related characteristics | |||||
|
|
Gendera | 2.362 (217) | .01 | ||
|
|
Age | 1.341 (4,46.40) | .27 | ||
|
|
Practice location size | 0.256 (4,94.10) | .91 | ||
|
|
Professional experience | 1.557 (4,80.48) | .19 | ||
|
|
Practice type | 0.511 (3,29.31) | .68 | ||
| Digital health use | |||||
|
|
Current use | 2.200 (4,65.41) | .08 | ||
|
|
Future use | 2.843 (4,39.40) | .04 | ||
| Digital affinity | |||||
|
|
MAs’b digital affinity | 4.813 (4,14.39) | .01 | ||
|
|
GPs’c level of digital affinity | 8.504 (2,103.66) | .001 | ||
| Personality | |||||
|
|
Level of extraversion | 4.753 (2,62.41) | .01 | ||
|
|
Level of agreeableness | 0.087 (2,42.89) | .92 | ||
|
|
Level of conscientiousness | 0.537 (2,2.63) | .64 | ||
|
|
Level of neuroticism | 7.552 (2,30.04) | .002 | ||
|
|
Level of openness | 0.073 (2,16.56) | .93 | ||
aAs gender is a dichotomous variable, we conducted a 2-tailed t test instead of an ANOVA, with the results showing the t statistic (in the column Welch F), df, and P value.
bMA: medical assistant.
CGP: general practitioner.