Table 3.

Regression outputs indicating whether burnout and wellbeing variables explain safety outcomes (aim 2)

Model F statisticModel P-valueModel R2 (mean)OLBIOLBI: DOLBI: EGHQ-12QoL
Safe practitionera3.580.0020.0910.267c0.019−0.014
Safe practitionerb5.02<0.0010.1050.0150.300d
PSIe1.330.242n/a1.0120.8811.078
Adverse evente0.790.576n/a0.9800.9401.063
Near misse1.440.196n/a1.0210.856f1.070
  • Variables listed vertically indicate model outcome variables. Variables listed horizontally indicate predictor variables. Bold font indicates significant models and variables.

  • a Model included only total OLBI score and not scores from the two separate scales.

  • b Model included disengagement scores and exhaustion scores, but not total OLBI score.

  • c Variable made a significant independent contribution to the model at P < 0.01.

  • d Variable made a significant independent contribution to the model at P < 0.001.

  • e Logistic regression.

  • f Variable made a significant independent contribution to the model at P < 0.05. All regressions controlled for age, sex, and years in practice. Statistics represent mean standardised β coefficients for linear regressions, odds ratios for logistic regressions. GHQ = general health questionnaire. n/a = not applicable. OLBI = Oldenburg burnout inventory. OLBI: D = Oldenburg burnout inventory: disengagement. OLBI: E= Oldenburg burnout inventory: exhaustion. PSI = patient safety incident. QoL = quality of life.