Correlates of Instrument with Postal Code Characteristics 2016
| (1) | (2) | (3) | (4) | (5) | (6) | (7) | |
|---|---|---|---|---|---|---|---|
| (1) New female patients aged 46–65 | 1.0000 | ||||||
| (2) New female patients aged 15–45 | 0.3849 | 1.0000 | |||||
| (3) % population Dutch | –0.3532 | –0.1347 | 1.0000 | ||||
| (4) % low income HHs | 0.4023 | 0.3175 | –0.6113 | 1.0000 | |||
| (5) % welfare recipients | 0.4206 | 0.3990 | –0.6020 | 0.8207 | 1.0000 | ||
| (6) Number of GP practices | 0.0873 | 0.0310 | –0.3076 | 0.2461 | 0.1821 | 1.0000 | |
| (7) Total population | 0.1457 | 0.0386 | –0.4584 | 0.2372 | 0.2335 | 0.5878 | 1.0000 |
Notes: The measures of new antidepressant patients and total population at the four-digit postal code level are calculated by the authors, and measures for 2016 are used to calculate the correlations. The postal code characteristics (apart from mean number of GP practices) come from Statistics Netherlands (in Dutch: Kerncijfers per postcode) and are shown for 2016. The mean number of GP practices in each postal code is calculated over the 2009–2016 period using data obtained from NIVEL, Netherlands Institute for Health Services Research.