Perception of Community Pharmacists towards Dispensing Errors in Community Pharmacy Setting in Gondar Town, Northwest Ethiopia

Table 5

Relationship between demographic factors and opinion if frequency of risk and actual dispensing errors are increasing .

Variables	Responses (%)
	Risk of dispensing errors is increasing		Actual dispensing errors are increasing
	(%)		(%)
Sex
Female	4 (26.7%)	= 2.892, df = 1, = 0.089	3 (20%)	= 4.584, df = 1, =
Male	17 (53.1%)		17 (53.1%)
Age (years)
23–28	9 (34.6%)	= 2.385, df = 1, = 0.122	10 (38.5%)	= 0.399, df = 1, = 0.528
29–51	12 (57.1%)		10 (47.6%)
Educational level
Diploma	8 (36.4%)	= 1.158, df = 1, = 0.282	9 (40.9%)	= 0.046, df = 1, = 0.831
BPharm degree and above	13 (52%)		11 (44%)
Work experience (years)
1–4 year	10 (40%)	= 0.473, df = 1, = 0.491	11 (44%)	= 0.046, df = 1, = 0.831
5–16 year	11 (50%)		9 (40.9%)
Additional work experience
No	11 (45.8%)	= 0.026, df = 1, = 0.871	9 (37.5%)	= 0.512, df = 1, = 0.474
Yes	10 (43.5%)		11 (47.8%)
Pharmacy ownership
Owner	8 (42.1%)	= 0.086, df = 1, = 0.770	6 (31.6%)	= 1.571, df = 1, = 0.210
Employee	13 (46.4%)		14 (50%)
Dispensing practice
≤5 days/week	4 (30.8%)	= 1.407, df = 1, = 0.236	5 (38.5%)	= 1.230, df = 1, = 0.726
≥6 days/week	17 (50%)		15 (44.1%)

Note. = significant , df = degrees of freedom, = Pearson’s Chi-square value.