Table 3.

Results of full binary logistic regression model exploring all factors relating to capability, opportunity and motivation to recommend e-cigarettes to patients with cancer

				95% CI for OR
	B	Wald (df=1)	P value	Lower	OR	Upper
Capability
Know status	0.758	3.320	0.068	0.944	2.134	4.821
General smoking knowledge	−0.440	3.866	0.049	1.010	1.563	2.439
E-cig knowledge	0.495	4.878	0.027	1.057	1.641	2.546
Opportunity
Time	0.083	0.237	0.626	0.778	1.087	1.517
Patient relationships	−0.092	0.128	0.720	0.551	0.912	1.510
Social norms	−0.047	0.028	0.867	0.549	0.954	1.658
Motivation
Engagement with patients who smoke	0.752	5.308	0.021	1.119	2.122	4.025
Effectiveness in helping cancer pts	0.858	19.09	0.000	1.605	2.359	3.466
Importance of HP role	0.259	0.834	0.361	0.743	1.295	2.257
Sufficient evidence	−0.745	4.963	0.026	1.099	2.083	4.000
Attitudes	0.370	1.038	0.308	0.711	1.447	2.947
Harm	0.023	0.006	0.941	0.556	1.023	1.885
Better than smoking	−0.009	0.001	0.972	0.593	0.991	1.655
Comfortable discussing smoking in general	−0.402	2.180	0.140	0.392	0.669	1.141
Comfortable discussing e-cigs	0.448	4.594	0.032	1.039	1.565	2.356
Health professional (HP) type
		5.385	0.250
GP	0.276	0.256	0.613	0.453	1.318	3.839
Practice nurse	0.281	0.294	0.588	0.479	1.324	3.659
Cancer surgeon	−0.805	1.791	0.181	0.138	0.447	1.453
Oncologist	−0.391	0.514	0.473	0.232	0.676	1.971
Constant	−11.416	20.331	0.000		0.000

Reference categories—for HP type=cancer nurse specialist, for sufficient evidence=yes, 2.08, 95% CI 1.10 to 4.00.

GP, general practitioner.