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Table 4 Multivariable binary logistic regression predicting more frequent application use (more than five times)

From: Predictors of students’ self-reported adoption of a smartphone application for medical education in general practice

Variable

OR (95 % CI)

p

1. Gender female (vs. male)

2.09 (1.15 – 3.78)

0.015

22. How do you judge the benefit of the provided application for yourself? (Scale from 1 = “small benefit“ to 5 = “large benefit“)

1.99 (1.46 – 2.71)

< 0.001

7. I’m always belong to the first ones that use a new technology. (Likert scale from 1 = “strongly disagree” to 5 = “strongly agree“)

1.42 (1.07 –1.90)

0.017

16. Whether or not one uses a smartphone application essentially depends on previous related experiences. (Likert scale from 1 = “strongly disagree” to 5 = “strongly agree“)

1.43 (1.05 – 1.95)

0.025

  1. The order of the variables corresponds to their contribution to explain the variance of the output variable. (N = 274 with valid values for all included variables, Pseudo-R2 = 0.245)