From: Waiting times in the ambulatory sector - the case of chronically Ill patients
All areas | Urban areas | Rural areas | |||||||
---|---|---|---|---|---|---|---|---|---|
Dependent variable: waiting time | IRR | Standard errors | IRR | Standard errors | IRR | Standard errors | |||
Need | |||||||||
Age 30 to 44 | 0.879 | 0.163 | 1.118 | 0.291 | 0.668 | 0.179 | |||
Age 45 to 59 | 0.864 | 0.149 | 0.930 | 0.228 | 0.762 | 0.187 | |||
Age 60 to 69 | 0.847 | 0.152 | 1.050 | 0.259 | 0.665 | 0.181 | |||
Age 70 to 79 | 0.796 | 0.145 | 0.941 | 0.241 | 0.647 | 0.175 | |||
Excellent health | 1.285 | 0.254 | 1.356 | 0.362 | 1.371 | 0.411 | |||
Good health | 1.155 | 0.204 | 1.422 | 0.339 | 0.995 | 0.267 | |||
Poor or very poor health | 1.183 | 0.217 | 1.118 | 0.277 | 1.329 | 0.370 | |||
Hospitalisation within the last 12 months | 0.927 | 0.085 | 1.057 | 0.133 | 0.834 | 0.112 | |||
Socioeconomic factors & gender | |||||||||
Lowest secondary school qualification | 0.754 | 0.083 | ** | 0.663 | 0.098 | ** | 0.868 | 0.146 | |
Intermediate secondary school qualification | 0.849 | 0.088 | 0.724 | 0.103 | ** | 1.002 | 0.158 | ||
Male | 0.963 | 0.082 | 0.972 | 0.112 | 0.995 | 0.129 | |||
German citizenship | 1.155 | 0.272 | 1.181 | 0.321 | 1.455 | 0.742 | |||
Patient time pressures | |||||||||
Employed | 0.969 | 0.106 | 0.916 | 0.137 | 1.011 | 0.164 | |||
Health system | |||||||||
Privately insured | 0.723 | 0.114 | ** | 0.645 | 0.132 | ** | 0.758 | 0.191 | |
GP consultation | 0.642 | 0.076 | *** | 0.514 | 0.085 | *** | 0.782 | 0.132 | |
Privately insured * GP consultation | 1.110 | 0.406 | 1.139 | 0.582 | 1.167 | 0.623 | |||
Driving time to the nearest doctor (in minutes) | 1.112 | 0.027 | *** | 1.078 | 0.038 | ** | 1.152 | 0.041 | *** |
Number of doctors per 100 000 population | 1.001 | 0.006 | 0.996 | 0.010 | 1.008 | 0.009 | |||
Spill-over effect for neighbouring regions | 1.005 | 0.161 | 1.000 | 0.361 | 1.000 | 0.180 | |||
Constant | 0.203 | 0.163 | ** | 0.211 | 0.139 | ** | 0.076 | 0.061 | *** |
Number of observations | 1095 | 569 | 526 | ||||||
Number of districts | 328 | 123 | 205 | ||||||
Log likelihood | −2871.1877 | −1469.36 | −1388.6 |