Research Article
Assessment of Factories on Adherence to COVID-19 Standard Operating Procedures: A Case Study of Wakiso, Mukono, Buikwe, and Jinja Districts, Uganda
Table 3
Cross-tabulation of adherence to COVID-19 SOP attributes in factories with district of location.
| Variable | Category | Buikwe N (%) | Jinja N (%) | Mukono N (%) | Wakiso N (%) | Kruskal–Wallis | value |
| Exposure control plan | No | 4 (40.0) | 3 (30.0) | 2 (22.2) | 8 (80.0) | 7.66 | 0.05 | Yes | 6 (60.0) | 7 (70.0) | 7 (77.8) | 2 (20.0) |
| Ventilation | No | 5 (50.0) | 6 (60.0) | 8 (88.9) | 6 (60.0) | 3.33 | 0.34 | Yes | 5 (50.0) | 4 (40.0) | 1 (11.1) | 4 (40.0) |
| Communication and training of employees | No | 2 (20.0) | 4 (40.0) | 0 (0.0) | 2 (20.0) | 4.53 | 0.21 | Yes | 8 (80.0) | 6 (60.0) | 9 (100) | 8 (80.0) |
| Signage placed at workplaces | No | 3 (30.0) | 4 (40.0) | 8 (88.9) | 7 (70.0) | 8.32 | 0.04 | Yes | 7 (70.0) | 6 (60.0) | 1 (11.1) | 3 (30.0) |
| Maintenance of social distancing at factories | No | 10 (100) | 2 (20.0) | 3 (33.3) | 10 (100) | 22.76 | <0.001 | Yes | 0 (0.0) | 8 (80.0) | 6 (66.7) | 0 (0.0) |
| Factory work practices | No | 6 (60.0) | 5 (50.0) | 3 (33.3) | 5 (50.0) | 1.34 | 0.72 | Yes | 4 (40.0) | 5 (50.0) | 6 (66.7) | 5 (50.0) |
| Enhanced cleaning and disinfection | No | 1 (10.0) | 3 (30.0) | 2 (22.2) | 4 (40.0) | 2.45 | 0.48 | Yes | 9 (90.0) | 7 (70.0) | 7 (77.8) | 6 (20.7) |
| Personal protective equipment (PPE) and respiratory protection | No | 2 (20.0) | 4 (40.0) | 0 (0.0) | 2 (20.0) | 4.53 | 0.21 | Yes | 8 (80.0) | 6 (60.0) | 9 (100) | 8 (80.0) |
| Exposure and case reporting | No | 3 (30.0) | 5 (50.0) | 1 (11.1) | 7 (70.0) | 7.44 | 0.06 | Yes | 7 (70.0) | 5 (50.0) | 8 (88.9) | 3 (30.0) |
| Health control plan | No | 6 (60.0) | 9 (90.0) | 0 (0.0) | 9 (90.0) | 20.71 | <0.001 | Yes | 4 (40.0) | 1 (10.0) | 9 (100) | 1 (10.0) |
| Overall adherence to SOPs | Poor | 3 (30.0) | 4 (40.0) | 1 (11.1) | 6 (60.0) | 5.02 | 0.17 | Good | 7 (70.0) | 6 (60.0) | 8 (88.9) | 4 (40.0) |
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P values in bold show significant differences of variables between districts.
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