Skip to main content

Table 4 Bivariate and multiple logistic regression analyses of factors associated with regulatory compliance

From: Regulatory compliance among over-the-counter medicine sellers facilities within the Upper East Region of Ghana

Predictors

Regulatory compliance

Bivariate regression

Multiple regression

 

Non-compliant (N = 109)

Compliant (N = 45)

OR

95% CI

p-value

AOR

95% CI

p-value

 

n (%)

n (%)

Facility location

 Rural

54 (85.7)

9 (14.3)

Ref

  

Ref

  

 Urban

55 (60.4)

36 (39.6)

3.93

1.73–8.93

0.001

4.2

1.74–10.17

0.001

Knows of name of law of pharmacy law

 No

105 (72.4)

40 (27.6)

      

 Yes

3 (100.0)

0 (0.0)

  

0.999

   

Qualified personnel on premises

 No

3 (100.0)

0 (0.0)

      

 Yes

106 (70.2)

45 (29.8)

  

0.999

   

Staff trained in less than a year

 No

40 (87.0)

6 (13.0)

Ref

  

Ref

  

 Yes

69 (63.9)

39 (36.1)

3.77

1.47–9.68

0.006

2.78

1.02–7.62

0.046

Ever received prior notification

 No

54 (79.4)

14 (20.6)

Ref

  

Ref

  

 Yes

55 (64.0)

31 (36.0)

2.17

1.04–4.53

0.038

1.28

0.53–3.08

0.587

Ever made contribution in cash or kind

 No

74 (75.5)

24 (24.5)

Ref

  

Ref

  

 Yes

35 (62.5)

21 (37.5)

1.85

0.91–3.76

0.090

1.73

0.71–4.23

0.229

Regulatory visit done

 No

4 (100.0)

24 (24.5)

      

 Yes

105 (70.0)

45 (30.0)

  

0.999

   

Owner of the facility available

 No

71 (74.0)

25 (26.0)

Ref

     

 Yes

38 (65.5)

20 (34.5)

1.5

0.74–3.03

0.266

   
  1. OR, Odds Ratio; AOR, Adjusted Odds Ratio; CI confidence interval; Bivariate logistic regression—Wald test p-value of < 0.2 considered for inclusion in the multivariate model; Statistical significance set at p ≤ 0.05; Regulatory compliance is a composite variable of three indicators for regulatory practices (retention of medicine supplier’s invoices and receipts on-premises), licensing and registration requirements (appropriate signage), and equipment and material requirements (availability of reference material)