Table 2 The association between demographic characteristics and number of consultations with a doctor and/or an allied health practitioner over a 12 month period, among Australian adults post-stroke.
From: Demographic factors effect stroke-related healthcare utilisation among Australian stroke survivors
Demographic characteristics | Doctor consultations | Allied health consultations | |||||
|---|---|---|---|---|---|---|---|
IRR | 95% CI | p value | IRR | 95% CI | p value | ||
Age | 10 year increase | 1.122 | 1.045, 1.204 | 0.001 | 0.874 | 0.796, 0.958 | 0.004 |
Gender | Male (n = 316) | 1.000 | – | 1.000 | – | ||
Female (n = 260) | 0.808 | 0.713, 0.916 | 0.001 | 0.784 | 0.666, 0.923 | 0.003 | |
Marital status | Married/Defacto (n = 359) | 1.000 | – | 1.000 | – | ||
Separated/Divorced/Widowed (n = 157) | 0.608 | 0.522, 0.708 | < 0.001 | 0.654 | 0.533, 0.803 | < 0.001 | |
Single (n = 51) | 0.862 | 0.700, 1.062 | 0.163 | 1.344 | 1.067, 1.692 | 0.012 | |
Area of | Major cities (n = 296) | 1.000 | – | 1.000 | – | ||
Residence | Inner regional (n = 192) | 0.829 | 0.726, 0.947 | 0.006 | 1.100 | 0.934, 1.296 | 0.254 |
Outer regional/Remote (n = 79) | 0.875 | 0.736, 1.039 | 0.127 | 0.485 | 0.368, 0.639 | < 0.001 | |
Education | No formal/School only (n = 276) | 1.000 | – | 1.000 | – | ||
Trade/Apprentice/Diploma (n = 187) | 0.828 | 0.723, 0.949 | 0.007 | 1.266 | 1.066, 1.503 | 0.007 | |
University/Higher degree (n = 108) | 0.980 | 0.832, 1.154 | 0.807 | 1.079 | 0.858, 1.357 | 0.516 | |
Income | No/Little difficulties (n = 381) | 1.000 | – | 1.000 | – | ||
(Management) | Some difficulties (n = 123) | 1.095 | 0.949, 1.262 | 0.214 | 0.900 | 0.739, 1.096 | 0.294 |
Struggles with income (n = 69) | 1.409 | 1.189, 1.670 | < 0.001 | 1.382 | 1.120, 1.707 | 0.003 | |
