Table 3 Bivariate analysis of staff factors in Kisumu County private drug outlets, 2021
Variable | Adhered to guidelines | Prevalence odds ratio (95% CIa) | P value | |
|---|---|---|---|---|
Yes | No | |||
Have a bachelor’s degree | ||||
No | 7 | 48 | Reference | – |
Yes | 7 | 8 | 6.0 (1.66–21.74) | 0.0036 |
Staff asked about the symptoms | ||||
No | 6 | 41 | Reference | – |
Yes | 8 | 15 | 3.6 (1.08–12.25) | 0.0305 |
Staff trained on mRDTb use | ||||
No | 6 | 43 | Reference | – |
Yes | 8 | 13 | 4.4 (1.29–15.04) | 0.0132 |
Pharmacy-trained staff | ||||
No | 1 | 16 | Reference | – |
Yes | 13 | 40 | 5.2 (0.63–43.11) | 0.1620 |
Sex of staff | ||||
Female | 5 | 31 | Reference | – |
Male | 9 | 25 | 2.2 (0.66–7.51) | 0.1884 |
Staff ever trained in malaria case management | ||||
No | 3 | 16 | Reference | – |
Yes | 11 | 40 | 1.5 (0.36–5.96) | 0.7437 |
Recent malaria case management training (after 2016) | ||||
No | 6 | 30 | Reference | – |
Yes | 8 | 26 | 1.5 (0.47–5.01) | 0.4731 |
Age of staff | ||||
At least 40 years | 1 | 11 | Reference | – |
Under 40 years | 13 | 45 | 3.2 (0.37–26.96) | 0.4362 |