Table 4

Possible predictors of adequate knowledge using logistic regression analysis

	Univariate logistic regression			Multivariable logistic regression
	OR	95% CI	P value	OR	95% CI	P value
Age	0.981	0.954 to 1.008	0.165	0.968	0.927 to 1.011	0.139
Gender
Male
Female	0.664	0.433 to 1.017	0.060	0.664	0.411 to 1.074	0.095
Education
BSc in pharmacy
Pharm D	5.083	1.750 to 14.765	0.003	5.671	1.874 to 17.161	0.002
Masters in pharmacy	1.049	0.438 to 2.511	0.915	1.048	0.397 to 2.771	0.924
Area of the pharmacy
In an urban area
In a rural area	1.580	0.764 to 3.267	0.217	1.500	0.691 to 3.256	0.306
In a commercial area	0.824	0.555 to 1.222	0.335	0.759	0.499 to 1.156	0.199
Location of the pharmacy
North of Jordan
Middle of Jordan	0.770	0.474 to 1.251	0.290	0.856	0.856 to 0.488	0.586
South of Jordan	0.785	0.421 to 1.465	0.447	0.882	0.882 to 0.455	0.710
Type of employment
Owner of the pharmacy
Employee	1.185	0.574 to 2.448	0.646	1.034	0.418 to 2.558	0.942
Average number of patients per day
<30
30–70	1.371	0.870 to 2.161	0.173	1.531	0.929 to 2.523	0.095
>70	1.569	0.908 to 2.712	0.106	1.613	0.867 to 3.001	0.131
Monthly income/salary (JOD)
<300
300–600	0.863	0.560 to 1.332	0.506	0.780	0.465 to 1.311	0.349
>600	1.709	0.703 to 4.158	0.237	1.844	0.624 to 5.454	0.268
University
Governmental
Private	0.877	0.597 to 1.288	0.503	0.970	0.618 to 1.522	0.895
Outside Jordan	1.261	0.456 to 3.483	0.655	1.406	0.421 to 4.694	0.579
Years of experience
<1 year
1–5 years	0.895	0.569 to 1.409	0.633	0.943	0.561 to 1.584	0.824
>5 years	0.730	0.419 to 1.271	0.266	0.973	0.441 to 2.147	0.946