Table 4.

Results from a logistic regression model to investigate the effect of patient characteristics of relevance on the odds of adherence^a

	Odds ratio	95% CI	P-value
Intercept	1.65	0.05 to 82.24	0.78
Age, years	1.02	0.99 to 1.06	0.19
Sex, female/male	1.03	0.54 to 2.0	0.92
PCRS, PCRS/private	0.63	0.2 to 1.66	0.36
Pulse pressure >60 mmHg, yes/no	0.60	0.31 to 1.12	0.11
ACE inhibitor, yes/no	0.50	0.26 to 0.95	0.04
Calcium channel blockers, yes/no	1.83	0.88 to 3.81	0.11
Diuretic, yes/no	0.39	0.02 to 2.6	0.40
Combination medications, yes/no	0.70	0.34 to 1.39	0.31

↵a Variables identified previously in the literature ⁶^,¹¹^,¹²that were identified as useful predictors of adherence (Table 3) were included in this model. PCRS =primary care reimbursement service. Private =private patient.