Table 5.
Correlations between regions, sociodemography, healthcare utilisation and commitment to GP: results of a multivariate linear regression adjusted for random effects on the levels of German federal states, administrative districts and GP practices (n = 753)
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| ß (95% CI) | p | ß (95% CI) | p | ß (95% CI) | p | |
| Region | ||||||
| urban areasvs.rural areas | −1.06 (−1.81/−0.31) | 0.006 | −1.05 (−1.79/−0.31) | 0.005 | −0.85 (−1.58/−0.12) | 0.022 |
| environsvs.rural areas | −0.90 (− 1.74/−0.07) | 0.034 | −0.96 (− 1.79/− 0.13) | 0.024 | −0.80 (− 1.57/− 0.02) | 0.045 |
| Age (per 10 years) | 0.20 (− 0.04/0.43) | 0.098 | 0.28 (0.05/0.51) | 0.018 | 0.25 (− 0.07/0.58) | 0.126 |
| Sex: malevs.female | 1.09 (0.48/1.70) | < 0.001 | 1.02 (0.42/1.62) | 0.001 | 1.14 (0.53/1.74) | < 0.001 |
| Number of medical chronic conditions | 0.17 (0.08/0.27) | < 0.001 | 0.15 (0.05/0.25) | 0.003 | 0.10 (0.00/0.20) | 0.043 |
| Contacts with GP | 0.33 (0.17/0.49) | < 0.001 | 0.30 (0.15/0.46) | < 0.001 | ||
| Contacts with medical specialists | −0.86 (−1.49/−0.23) | 0.007 | − 0.75 (− 1.36/− 0.13) | 0.018 | ||
| Education (pursuant to CASMIN): | ||||||
| medium vs. low | −0.60 (−1.29/0.08) | 0.086 | ||||
| highvs.low | −1.74 (−2.68/−0.81) | < 0.001 | ||||
| Equivalised disposable income: natural logarithm | −0.93 (−1.56/− 0.30) | 0.004 | ||||
| Professional situation | ||||||
| employed | 0.24 (−1.04/1.52) | 0.714 | ||||
| self-employed/freelancer | −0.57 (− 2.21/1.08) | 0.499 | ||||
| housewife/homemaker | 0.88 (−1.11/2.88) | 0.385 | ||||
| job-seeking/unemployed | 0.73 (−1.39/2.85) | 0.499 | ||||
| retiree/pensioner | 0.01 (−1.45/1.46) | 0.993 | ||||
Statistically significant results (p ≤ 0.05) are shown in bolt and italic