Table 3

Hierarchical linear regression model of predictors of burnout

VariableModel 1Model 2
B (95% CI)SEβP valueB (95% CI)SEβP value
Constant29.793 (22.073 to 37.129)3.7290.00133.866 (24.815 to 42.742)4.3410.001
Techno-overload3.834 (1.550 to 6.127)1.1470.263 0.003 3.776 (1.612 to 5.959)1.1620.259 0.004
Techno-complexity1.992 (−0.108 to 4.012)1.0920.1420.0702.258 (0.088 to 4.309)1.0930.161 0.043
Techno-unreliability1.352 (−1.003 to 3.606)1.0710.1250.2111.485 (−0.808 to 3.682)1.0710.1370.161
Techno-usefulness−1.423 (−3.835 to 1.184)1.201−0.1010.235−1.750 (−4.184 to 0.835)1.220−0.1250.148
Lack of technical support0.019 (−1.787 to 1.748)0.9520.0020.989−0.174 (−1.977 to 1.649)0.955−0.0170.878
Support of employer*−4.891 (−9.779 to −0.500)2.495−0.1160.055
R2 0.1450.158
Adjusted R2 0.1300.140
f2 0.150.16
  • N=296; displayed are robust CIs and SEs based on 1000 bootstrap samples. Model 1: F(5, 290)=9.812, p<0.001; model 2: F(6, 289)=9.010, p<0.001, Durbin-Watson statistic=2.091.

  • Bold values indicate statistically significant results.

  • *No support as reference category.