Table 4.

Baseline multilevel logistic regression model using 30-day readmission (0=no; 1=yes) as the dependent variable associated with independent sociodemographic, LOS and clinical variables (N=13 802)

Variables	OR*	P value >z	95% CI
Sex	1.079	0.285	0.938 to 1.242
Year-end age, in years	0.999	0.878	0.990 to 1.009
Hospital LOS, in days	1.014	0.000	1.006 to 1.021
Mobility cluster†	1.218	0.015	1.039 to 1.427
Dependency on the activities of daily living†	0.794	0.248	0.537 to 1.174
Mental health status†	0.992	0.966	0.687 to 1.433
ICD 1st diagnosis: circulatory problems‡	0.938	0.491	0.783 to 1.124
ICD 1st diagnosis: infection‡	1.381	0.078	0.964 to 1.977
ICD 1st diagnosis: respiratory problems‡	1.100	0.414	0.875 to 1.382
ICD 1st diagnosis: trauma‡	0.847	0.265	0.633 to 1.134
ICD 1st diagnosis: tumour‡	2.538	0.000	2.089 to 3.082
Number of ICD	1.419	0.000	1.282 to 1.572
Number of CHOP	0.978	0.304	0.938 to 1.020
Number of drugs	1.043	0.000	1.028 to 1.058
Year: 2015–2018	0.933	0.022	0.880 to 0.990
Intercept	–	0.027	–

*Adjusted OR.

†0=good state; 1=impairment.

‡0=no; 1=yes.

CHOP, Swiss Classification of Surgical Interventions; LOS, length of stay.