Effect of supply chain gaps towards the effectiveness of medical supplies in Tanzania during the COVID-19 emergence
| Variables | B | SE | Sig. | Exp(B) |
|---|---|---|---|---|
| Supply chain gaps (index) | −1.428 | 0.476 | 0.003 | 1.840 |
| Effects of COVID-19 (index) | −0.518 | 0.318 | 0.001 | 2.296 |
| Determinants of the supply gaps (index) | 0.934 | 0.249 | 0.000 | 2.545 |
| Nature of the pharmacy (dummy) | −0.780 | 0.518 | 0.133 | 2.181 |
| Experience in industry (years) | −0.017 | 0.036 | 0.644 | 1.017 |
| Constant | −0.555 | 1.744 | 0.744 | 0.574 |
| Omnibus test – Chi-square | 53.342(6) (p = 0.000) | |||
| Hosmer and Lemeshow – χ2 | 8.286(8) (p = 0.406) | |||
| Cox & Snell R2 | 0.263 | |||
| Nagelkerke R2 | 0.419 | |||
| −2 Log Likelihood | 118.990 |
| B | SE | Sig. | Exp(B) | |
|---|---|---|---|---|
| −1.428 | 0.476 | 0.003 | 1.840 | |
| −0.518 | 0.318 | 0.001 | 2.296 | |
| 0.934 | 0.249 | 0.000 | 2.545 | |
| −0.780 | 0.518 | 0.133 | 2.181 | |
| −0.017 | 0.036 | 0.644 | 1.017 | |
| −0.555 | 1.744 | 0.744 | 0.574 | |
| 53.342(6) ( | ||||
| 8.286(8) ( | ||||
| 0.263 | ||||
| 0.419 | ||||
| 118.990 |
Note:
Dependent variable: Effectiveness of medical supplies (increased = 1, otherwise =0)