Table 1.
Multilevel logistic models for number of total and potentially avoidable hospital patients per population
| (1) Disadvantage model | (2) Advantage and disadvantage model | |||||||
|---|---|---|---|---|---|---|---|---|
| Coefficient | β | (SE) | OR | (95%CI) | β | (SE) | OR | (95%CI) |
| Intercept | -1.963 | (0.008) | -1.761 | (0.008) | ||||
| Indigenous status | 0.598 | (0.011) | 1.818 | (1.777-1.860) | 0.342 | (0.012) | 1.408 | (1.375-1.441) |
| Sex | 0.308 | (0.008) | 1.361 | (1.339-1.383) | 0.311 | (0.008) | 1.365 | (1.343-1.388) |
| Aged | 0.144 | (0.012) | 1.155 | (1.127-1.184) | 0.138 | (0.013) | 1.148 | (1.118-1.179) |
| SEIFA 1 | -0.041 | (0.004) | 0.960 | (0.953-0.967) | ||||
| SEIFA 2 | -0.079 | (0.004) | 0.924 | (0.917-0.931) | ||||
| -Log likelihood | 185142 | 185246 | ||||||
| Variance of random effect | ||||||||
| Intercept | 0.503 | (0.007) | 0.476 | (0.007) | ||||
| Indigenous status | 0.393 | (0.012) | 0.345 | (0.012) | ||||
| Aged | 0.082 | (0.006) | 0.076 | (0.006) | ||||
| (3) Income and education model | ||||||||
| a. Total hospital morbidity | b. Avoidable hospital morbidity | |||||||
| Intercept | -1.811 | (0.008) | -2.378 | (0.012) | ||||
| Indigenous status | 0.260 | (0.013) | 1.297 | (1.265-1.329) | 0.529 | (0.015) | 1.697 | (1.646-1.748) |
| Sex | 0.312 | (0.008) | 1.366 | (1.344-1.389) | 0.270 | (0.010) | 1.310 | (1.284-1.336) |
| Aged | 0.202 | (0.013) | 1.223 | (1.192-1.256) | 0.003 | (0.000) | 1.003 | (1.002-1.003) |
| SEIFA 3 | -0.077 | (0.004) | 0.926 | (0.918-0.934) | -0.045 | (0.006) | 0.956 | (0.945-0.967) |
| SEIFA 4 | -0.087 | (0.004) | 0.917 | (0.909-0.925) | -0.139 | (0.005) | 0.870 | (0.861-0.879) |
| -Log likelihood | 185076 | 138337 | ||||||
| Variance of random effect | ||||||||
| Intercept | 0.556 | (0.009) | 0.336 | (0.009) | ||||
| Indigenous status | 0.399 | (0.013) | 0.200 | (0.009) | ||||
| Aged | 0.042 | (0.003) | 0.000 | (0.000) | ||||
Note: β = coefficient estimate; CI = confidence interval; OR = Odds Ratio; SE = Standard error; SEIFA = Socio-Economic Indexes for Areas; SEIFA1 measures relative socio-economic disadvantage; SEIFA2 represents relative socio-economic advantage and disadvantage; SEIFA3 indicates household income; SEIFA4 is index of education; SLA = Statistical Local Area.