Table 4 Multivariate logistic regression models: predicting hospital readmission and death

Predicting hospital re-admission (12-months post-enrolment)

AQoL utility scores

≥0.37

<0.37

1.95

1.03 – 3.70

Charlson

≤5

≥6

4.89

2.37 – 10.09

Service

CCM

RAC

1.78

0.85 – 3.73

Logistic regression, correct classification: 71.4%; Hosmer and Lemeshow χ² = 0.17, p = 0.99.

Predicting death (5-years post-enrolment)

Age

60-69 years

70-79 years

3.88

0.99 – 15.22

≥80 years

7.15

1.83 – 28.02

AQoL utility scores

≥0.37

<0.37

1.61

0.79 – 3.25

Charlson

≤5

≥6

6.00

2.82 – 12.79