Table 3.
Linear regression model details
| Response variable | Explanatory variables | Coefficient (standard error) | 95% CI | P |
|---|---|---|---|---|
| OOH prescriptions (R2 = 0.90) | year | 37.1 (13.1) | 10.6 to 63.7 | 0.008 |
| weekend days | 110.3 (20.7) | 68.3 to 152.3 | <0.001 | |
| bank holidays | 212.5 (40.2) | 130.6 to 294.4 | <0.001 | |
| (intercept, months†) | — | — | — | |
| OOH contacts (R2 = 0.85) | year | −486.5 (93.3) | −676.3 to −296.8 | <0.001 |
| weekend days | 545.5 (147.6) | 245.2 to 845.7 | <0.001 | |
| bank holidays | 1062.6 (287.6) | 477.5 to 1647.7 | <0.001 | |
| (intercept, months†) | — | — | — | |
| In-hours prescriptions (R2 = 0.85) | year | −294.0 (200.1) | −701.1 to 113 | 0.151 |
| weekend days | −1162.8 (316.5) | −1806.8 to −518.8 | <0.001 | |
| bank holidays | −758.5 (616.9) | −2013.5 to 496.6 | 0.228 | |
| (intercept, months†) | — | — | — | |
| Standardized OOH prescriptions (R2 = 0.90) | year | 0.137 (0.048) | 0.039 to 0.234 | 0.008 |
| (intercept, months, weekend days, bank holidays†) | — | — | — | |
| Standardized in-hours prescriptions (R2 = 0.85) | year | −0.087 (0.059) | −0.208 to 0.034 | 0.151 |
| (intercept, months, weekend days, bank holidays†) | — | — | — |
Coefficients correspond to changes in monthly prescription/contact numbers.
Model goodness of fit is given by R2 values.
All models had at least one significant month coefficient (P < 0.05).
†Details for these variables are given in Table S1.