Table 3.
Demographics of the CCU admission cohort.
| Staffing model | Clinical | Integrated | Total | Teste | p | |
|---|---|---|---|---|---|---|
| Site | Site 1 (n = 53) |
Site 2 (n = 52) |
Site 3 (n = 40) |
N = 145 | ||
| Demographics | ||||||
| Age at admission (, years) | 31.1 (8.7) | 32.1 (8.7) | 31.0 (9.8) | 31.4 (9.0) | F(2,142) = .214 | .808 |
| Male sex | 66.0% | 78.8% | 77.5% | 73.8% | X2 (2) = 2.619 | .270 |
| Australian born | 86.8% | 90.4% | 77.5% | 85.5% | X2 (2) = 3.140 | .208 |
| ATSI identification | 6.0% | 3.8% | 10% | 6.2% | Fisher’s Exact Testf | .525 |
| Unemploymenta | 90.6% | 82.7% | 95.0% | 89.0% | X2 (2) = 3.707 | .157 |
| Accommodation (most recent) b | Fisher’s Exact Testf | .066 | ||||
| Living with family | 56.6% | 50.0% | 72.5% | 58.6% | – | – |
| Supported housing | 18.9% | 5.8% | 10.0% | 11.7% | – | – |
| Private rental | 9.4% | 15.4% | 10.0% | 11.7% | – | – |
| No fixed address | 7.5% | 21.2% | 2.5% | 11.0% | – | – |
| Other | 7.5% | 7.7% | 5.0% | 6.9% | – | – |
| Highest education level c | H(2) = 1.898 | .387 | ||||
| Primary school | 5.7% | 3.8% | 7.5% | 5.5% | – | – |
| Year 10 | 41.5% | 55.8% | 50.0% | 49.0% | – | – |
| Year 12 | 34.0% | 19.2% | 35.0% | 29.0% | – | – |
| Tertiaryd | 18.9% | 19.2% | 7.5% | 15.9% | – | – |
a
Unemployment is exclusive of any form of paid or unpaid vocational activity including volunteering.
b
Accommodation reflects the most recent community residence prior to CCU entry, public housing accounted for 70% of the ‘Other’ category.
c
Treated as a scaled variable based on increasing levels of education, Kruskall-Wallis test applied.
d
Inclusive of any engagement in tertiary education including vocational training regardless of completion
e
For categorical variables, X2 was applied unless the expected count for any cell was <5, in this case, Fisher’s Exact test was calculated.
f
Unadjusted odds ratio: Accommodation = 14.200, ATSI identification = 1.500.