Table 7 Logistic regression analysis of factors associated with the expiry of veterinary medicines in selected outlets in central Uganda
Variable | Categories | Level of expiry | Un adjusted model | Adjusted model | |||
|---|---|---|---|---|---|---|---|
Acceptable n(%) | Unacceptable n(%) | COR (95% CI) | p-value | AOR (95% CI) | p-value | ||
Sex | Male | 44 (64.7) | 24 (35.3) | Ref | Ref | ||
Female | 86 (84.0) | 14 (14.0) | 3.4 (1.58–4.11) | 0.002 | 2.9 (1.22–5.08) | 0.017* | |
Education level | Certificate | 73 (74.5) | 25 (25.5) | Ref | |||
Diploma | 37 (82.2) | 8 (17.8) | 1.6 (0.65–3.85) | 0.311 | |||
Degree and above | 20 (80.0) | 5 (20.0) | 1.37 (0.47–4.03) | 0.568 | |||
Supplier type | Retailer | 4 (12.9) | 27 (87.1) | Ref | Ref | ||
Wholesaler/importer | 34 (24.8) | 103 (75.2) | 2.23 (0.73–6.82) | 0.161 | 2.74 (1.22–7.08) | 0.106 | |
Experience | Mean:5.2; median:4(SD4.2) | 0.93(0.856–1.00) | 0.060 | 0.94 (0.85–1.0) | 0.197 | ||
Cost of stock | < 200 M | 86 (75.4) | 28 (24.6) | Ref | |||
201 M–500 M | 27 (84.4) | 5 (15.6) | 1.76 (0.62–5.00) | 0.290 | |||
> 500 M | 17 (77.3) | 5 (22.7) | 1.10 (0.37–3.27) | 0.854 | |||
Where the drugs are kept | Separate store | 14 (73.7) | 5 (26.3) | Ref | |||
Both shelves and store | 83 (77.6) | 24 (22.4) | 1.24 (0.40–3.78) | 0.711 | |||
Outlet shelves | 33 (78.6) | 9 (21.4) | 1.31 (0.37–4.61) | 0.675 | |||
Procurement policy | No | 54 (62.8) | 33 (37.2) | Ref | Ref | ||
Yes | 76 (92.7) | 6 (7.3) | 7.51 (2.93–9.20) | 0.000 | 3.90 (1.29–4.81) | 0.016* | |
First in first out | No | 80 (87.9) | 11 (12.1) | Ref | Ref | ||
Yes | 50 (64.9) | 27 (35.1) | 3.92 (1.79–8.61) | 0.001 | 2.00 (0.73–5.53) | 0.180 | |
First expiry first out | No | 123 (84.8) | 22 (15.2) | Ref | Ref | ||
Yes | 7 (30.4) | 16 (69.6) | 12.8 (4.71–10.65) | 0.000 | 6.07 (4.7–8.72) | 0.002* | |
Electronic stock management tools | No | 97 (76.4) | 30 (23.6) | Ref | |||
Yes | 33 (80.5) | 8 (19.5) | 1.27 (0.53–3.06) | 0.585 | |||