Table 6.
Correct Matching of specific antimicrobials against their class (n = 353).
| Variable |
Nigeria (n = 105) Percentage |
Sudan (n = 164) Percentage |
South Africa (n = 71) Percentage |
χ2 | P-value |
|---|---|---|---|---|---|
| 1. Beta-lactams | 43.8 | 68.0 | 81.4 | 9.9 | <0.01 |
| 2. Penicillins | 39.1 | 67.2 | 39.4 | 2.9 | 0.24 |
| 3. Cephalosporins | 43.8 | 55.5 | 62.0 | 2.1 | 0.35 |
| 4. Tetracyclines | 44.8 | 75.2 | 84.5 | 15.2 | <0.001 |
| 5. Aminoglycosides | 53.3 | 85.2 | 94.4 | 50.4 | <0.0001 |
| 6. Macrolides | 34.3 | 42.0 | 38.0 | 1.7 | 0.42 |
| 7. Amphenicols | 41.9 | 70.0 | 62.0 | 3.2 | 0.20 |
| 8. Fluoroquinolones | 42.9 | 65.5 | 77.5 | 8.8 | 0.01 |
| 9. Sulphonamides | 41.0 | 56.1 | 63.4 | 2.1 | 0.35 |
| 10. Peptide antibiotics | 58.1 | 96.1 | 95.8 | 128.9 | <0.0001 |
| Total mean knowledge score | 44.3 ± 6.8 | 68.1 ± 15.4 | 69.7 ± 20.5 | 98.5 | <0.0001 |