Table 2.

Regression outputs for burnout, wellbeing, and patient safety outcome variables (aims 1 and 3)

	Model F statistic	Model P-value	Model R² (mean)	Job role	Practice list size	Antisocial hours	Admin hours	Extra roles	On call	Patients per day	Patient contact hours	Supportive practice
Safe practitioner	1.90	0.035	0.101	−0.047	−0.100	−0.149	0.323^a	0.095	−0.010	0.028	−0.005	−0.003
PSI	1.14	0.318	n/a	1.131	1.000	0.987	0.973	0.961	0.987^b	0.996	1.01	1.039
Adverse event^d	0.61	0.837	n/a	1.154	1.000	0.953	0.990	0.990	0.997	0.998	0.996	1.048
Near miss^d	1.36	0.179	n/a	1.060	1.000	0.984	0.976	0.959	0.983^c	1.015	1.008	1.072
OLBI	7.90	<0.001	0.313	−0.113	0.077	−0.000	0.205^c	0.092	−0.100	0.132^b	0.027	−0.413^a
OLBI: D	6.60	<0.001	0.275	−0.126	0.028	−0.069	0.165^b	0.066	−0.105	0.154^b	0.046	−0.396^a
OLBI: E	5.77	<0.001	0.249	−0.078	0.106	0.063	0.200^c	0.097	−0.075	0.085	0.004	−0.346^a
GHQ-12	5.87	<0.001	0.252	−0.129	0.026	−0.049	0.233^c	0.077	0.067	0.026	0.120	−0.301^a
QoL	9.20	<0.001	0.345	−0.001	0.026	0.026	−0.227^c	−0.210^a	0.033	−0.137^b	−0.237^a	0.339^a

Variables listed vertically indicate model outcome variables. Variables listed horizontally indicate predictor variables. Bold font indicates significant models and variables.
↵a Variable made a significant independent contribution to the model at P<0.001.
↵b Variable made a significant independent contribution to the model at P < 0.05.
↵c Variable made a significant independent contribution to the model at P < 0.01.
↵d Logistic regression. 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. All regressions controlled for age, sex, and years in practice. Statistics represent mean standardised β coefficients for linear regressions, odds ratios for logistic regressions.