Table 6. Multinomial logistic regression predicting class membership.
OR | SE | P value | |
---|---|---|---|
Profile 1 severe (vs. profile 4 “at risk”) | |||
Age | 1.037 | 0.017 | 0.032 |
Gender = female | 1.101 | 0.372 | 0.795 |
Setting = PSIW | 0.287 | 0.411 | 0.002 |
Utilisation* | 4.427 | 0.374 | 0.000 |
Profile 2 moderate I-low QoL (vs. profile 4 “at risk”) | |||
Age | 1.012 | 0.017 | 0.464 |
Gender = female | 1.202 | 0.378 | 0.626 |
Setting = PSIW | 0.542 | 0.412 | 0.136 |
Utilisation* | 1.116 | 0.376 | 0.771 |
Profile 3 moderate II-low WAI (vs. profile 4 “at risk”) | |||
Age | 1.065 | 0.018 | 0.000 |
Gender = female | 1.347 | 0.379 | 0.432 |
Setting = PSIW | 0.504 | 0.414 | 0.098 |
Utilisation* | 2.125 | 0.396 | 0.057 |
SE = Standard Error, OR = Odds Ratio, P value = level of significance,
* utilisation mental health care system “yes” previous 12-months