Table 4.

Regression analyses examining the interaction between burnout and contact.

	Step 1			Step 2			Step 3
Variable	B	SE	95% CI	B	SE	95% CI	B	SE	95% CI
Gender	0.190	0.121	−0.049, 0.429	0.190	0.053	−0.025, 0.404	0.201	0.109	−0.013, 0.414
Age	0.007	0.006	−0.005, 0.019	−0.004	0.268	−0.015, 0.008	−0.005	0.006	−0.016, 0.007
Work hours	−0.007*	0.004	−0.015, 0.000	−0.002	0.002	−0.009, 0.005	−0.003	0.003	−0.010, 0.004
Tenure	−0.023**	0.007	−0.037, −0.010	−0.010	0.017	−0.023, 0.003	−0.010	0.006	−0.023, 0.003
Current Prescribing	−0.119	0.163	−0.440, 0.202	−0.186	0.080	−0.476, 0.103	−0.172	0.146	−0.460, 0.117
Past Prescribing	0.205	0.301	−0.388, 0.797	0.197	0.063	−0.335, 0.729	0.214	0.269	−0.315, 0.743
R2 = 0.071
Burnout				−0.433***	0.067	−0.565, −0.301	−0.282**	0.097	−0.473, −0.091
Contact				0.018***	0.003	0.013, 0.024	0.033***	0.007	0.019, 0.047
R2 (ΔR2) = 0.256 (0.185)				–
Burnout * Contact							−0.007*	0.003	−0.013, −0.001
R2 (ΔR2) = 0.267 (0.011)

Note: N = 313; * p < .05, ** p < .01, *** p < .001.