Table 3.

Multiple regression analysis of factors associated with self-efficacy

Variables	Model 1a			Model 2b			Model 3c
	B (SE)	β	Sig.	B (SE)	β	Sig.	B (SE)	β	Sig.
(Constant)	4.282 (1.025)		<0.001	4.792 (0.748)		<0.001	5.387 (0.703)		<0.001
Facility—public vs. private	−1.011 (0.276)	−0.255	<0.001	−0.886 (0.254)	−0.224	0.001	−0.976 (0.252)	−0.246	<0.001
SES10	−0.035 (0.063)	−0.037	0.578
Gender—male vs. female	0.210 (0.237)	0.060	0.376
Education	−0.145 (0.116)	−0.083	0.213
Cannabis risk—moderate vs, low	1.618 (0.603)	0.173	0.008	1.541 (0.588)	0.164	0.009	1.583 (0.588)	0.169	0.008
In your own estimation, out of every 100 patients that you see, how many do you think are significantly affected by AUD	0.012 (0.005)	0.160	0.013	0.012 (0.005)	0.150	0.018	0.011 (0.005)	0.146	0.022
Do you have access to a mental health worker in case you need to refer alcohol use cases?	0.614 (0.267)	0.151	0.023	0.633 (0.259)	0.156	0.015	0.632 (0.260)	0.156	0.016
Is there a need for alcohol use component in the training of professionals in your field?	−1.079 (0.378)	−0.192	0.005	−1.257 (0.365)	−0.223	0.001	−1.195 (0.351)	−0.212	0.001
AUD can be successfully managed in outpatients clinics’ in a general hospital	0.657 (0.226)	0.186	0.004	0.644 (0.223)	0.182	0.004	0.695 (0.223)	0.197	0.002
Have you had a chance to attend a refresher course in alcohol use treatment and prevention?	0.277 (0.333)	0.054	0.407	0.299 (0.327)	0.058	0.361
Alcohol use problems are part of my work	0.322 (0.271)	0.079	0.237	0.320 (0.267)	0.079	0.233
Management of alcohol use disorders is an important part of my care for chronic outpatients	0.497 (0.297)	0.109	0.096	0.443 (0.294)	0.097	0.133
Model parameters	F = 5.515, p < 0.001 Adj R2 = 0.223, R2 = 0.272			F = 7.525, p < 0.001 Adj R2 = 0.223, R2 = 0.257			F = 10.252, P < 0.001 Adj R2 = 0.213, R2 = 0.236

Bunstandardized coefficients, β standardized coefficients

^*p ≤ 0.05;

^**p ≤ 0.01

^aEnter all

^bEnter all with only significantly correlated variables

^cStepwise enter, include with p < 0.05, exclude with p > 0.10