Table 3.
Parameter estimates - QoL groups * | ||||||
---|---|---|---|---|---|---|
E (beta) ** | E (Std. Error) | Sig. | 95% confidence interval | |||
Lower bound | Upper bound | |||||
E (beta) | E (beta) | |||||
Thresholds | Qol 1: very poor | 4.043 | 2.553 | .136 | 0.644 | 25.383 |
Qol 2: fair to poor | 25.504 | 2.602 | .001 | 3.914 | 166.174 | |
Qol 3: good | 85.153 | 2.646 | .000 | 12.649 | 573.268 | |
Qol 4: very good | - | - | - | - | ||
CANSAS* | 1. accommodation | 1.278 | 1.128 | .042 | 1.009 | 1.618 |
4. self-care | 1.292 | 1.211 | .182 | 0.887 | 1.88 | |
5. daytime activities | 1.216 | 1.107 | .054 | 0.997 | 1.483 | |
7. psychotic symptoms | 1.217 | 1.183 | .243 | 0.875 | 1.693 | |
14. Company | 1.151 | 1.101 | .144 | 0.953 | 1.39 |
*Pseudo R-Square (Nagelkerke) = .075; Goodness-of-Fit Pearson Chi-Square = 288.828. df = 265. p = .151.
CANSAS items 10 and 21 were excluded form the modeling process.
**The parameter estimates represent the ratio of the odds for very poor to very good QoL outcome (range 1–4) and for very poor to very good outcome on individual CANSAS items (range 1–4).
A ratio above 1.0 means that better outcome on CANSAS items increases the odds of better QoL over time.