Logistic multivariate regression model for the likelihood of each paediatrician of reaching the target for both the A and B quality indicators according to sex, age, prescribing pattern in respect to quantity of antibiotic prescriptions, number of children cared for by each paediatrician and area covered by paediatricians’ offices
| Covariates | OR* | 95% CI | |
| Type of prescriber | Low prescriber | 4.61 | (1.99 to 10.69) |
| Mean prescriber | 2.26 | (1.08 to 4.75) | |
| High prescriber | 1.00 | – | |
| Age (years) | ≤44 | 1.00 | |
| 45–59 | 2.41 | (1.07 to 5.46) | |
| ≥60 | 3.98 | (1.58 to 10.04) | |
| Area covered by paediatricians’ offices | Urban area at north of Milan† | 8.64 | (5.47 to 13.66) |
| Other areas of the region | 1.00 | – | |
*Sex and number of children cared for by each paediatrician did not enter the model according to the stepwise selection.
†Cluster of high values identified in figure 1, according to the Anselin Local Moran’s I statistic.