Table 3.
Logistic regression on eConsulta predictors.
Variable | B | SE | Wald | df | P value | Exp(B) |
Age | 0.076 | 0.159 | 0.227 | 1 | .63 | 1.079 |
Gender | 0.639 | 0.308 | 4.303 | 1 | .04 | 1.895 |
Professional profile | –0.280 | 0.103 | 7.438 | 1 | .006 | 0.755 |
Health care region or zone in which a professional works | 0.062 | 0.048 | 1.683 | 1 | .20 | 0.940 |
Professional experience in the health care area | –0.022 | 0.164 | 0.018 | 1 | .89 | 0.978 |
Benefits | 2.408 | –0.199 | 146.029 | 1 | <.001 | 11.113 |
Environmental pressure | 0.678 | 0.129 | 27.649 | 1 | <.001 | 1.971 |
Ease of use | 0.542 | 0.129 | 17.559 | 1 | <.001 | 1.720 |
Degree of eConsulta implementation | 0.266 | 0.149 | 3.168 | 1 | .08 | 1.304 |
Level of eConsulta use | 0.715 | 0.176 | 16.469 | 1 | <.001 | 2.045 |
Constant | 0.989 | 0.894 | 1.223 | 1 | .27 | 2.689 |