Table 2.
Panel regression analysis predicting likelihood of the use of antibiotic.
| Dependent variable | Variablea | Coefficient | t | p |
|---|---|---|---|---|
| DDDb | Regions | 10779.312 | 8.315 | <0.001 |
| Ownership | −20711.436 | −9.714 | <0.001 | |
| Time | −6.714 | −2.546 | 0.011 | |
| Constant | 5051175.817 | 2.606 | 0.009 | |
|
| ||||
| AUDc | Regions | −0.152 | −0.272 | 0.786 |
| Ownership | −1.596 | −1.733 | 0.083 | |
| Time | −0.013 | −11.610 | <0.001 | |
| Constant | 9978.110 | 11.682 | <0.001 | |
|
| ||||
| Drug varietyd | Regions | −1.346 | −3.346 | 0.001 |
| Ownership | −0.082 | −0.125 | 0.901 | |
| Time | −0.012 | −14.526 | <0.001 | |
| Constant | 8811.157 | 14.653 | <0.001 | |
DDDs, accumulative defined daily doses.
DDDs = ∑ (drug specification × amount/defined daily dose).
AUD = DDDs × 100/inpatient days.
Drugs variety refers to the total number of drug types.
Total panel (balanced) observations: 1780.
aAdjusted for all covariates listed. There is no collinearity between variables.
bF-Statistic: 62.070, prob. (F-Statistic): <0.001.
cF-Statistic: 45.940, prob. (F-Statistic): <0.001.
dF-Statistic: 74.080, prob. (F-Statistic): <0.001.