Table 2.
Regression analysis for the association between inappropriate ACT prescription and non-prescriber covariates
| Variable | Crude OR (95% CI) | p-value | AOR (95% CI) | p-value |
|---|---|---|---|---|
| Facility level factors | ||||
| RDT stock-out | ||||
| Yesa | 1 | 1 | ||
| No | 0.55 (0.36–0.85) | 0.007 | 0.04 (0.01–0.14) | < 0.001 |
| Municipal | ||||
| Ga Southa | 1 | 1 | ||
| La Dade Kotopon | 1.3 (0.77–2.19) | 0.322 | Omitted | |
| La Nkwantanang Madina | 6.4 (3.2–12.8) | < 0.01 | 0.37 (0.10–1.29) | 0.117 |
| Patient level factors | ||||
| Patient age-group | ||||
| <5a | 1 | 1 | ||
| ≥5 | 0.61 (0.4–0.9) | 0.004 | 0.80 (0.54–1.19) | 0.265 |
| Access to NHIS | ||||
| Noa | 1 | |||
| Yes | 0.85 (0.62–1.2) | 0.329 | ||
AOR adjusted odds ratio, OR odds ratio
aReference category/group