Do implementation issues influence the effectiveness of medications? The case of nicotine replacement therapy and bupropion in UK Stop Smoking Services

Table 2 Simple regression analysis predicting short term abstinence from smoking characteristics and demographic data*

	Odds Ratio	P value
Gender (female/male)	1.18	.044
Age	1.02	<.001
Marital status (single, divorced or separated/married or with partner)	1.43	<.001
FTND	.93	<.001
Other smokers in household (no/yes)	.96	.78
Past serious quit attempt (no/yes)	1.22	.06
Employment (not in full time/in full time)	1.12	.19
Education (no qualifications/GCSE or above)	1.00	.98
Free prescriptions (not eligible/eligible)	.86	.06
Stop Smoking Service (1/2)	1.06	.46
Service type (community/clinic)	1.20	.031
Medication choice (bupropion/NRT)	1.39	.005

* This table reports on a number of separate simple univariate regressions to determine the independent effect of variables upon short term abstinence.

ISSN: 1471-2458