Table 5.
Variables | Frequency of hospitalization | LOS | Hospitalization cost | |||
---|---|---|---|---|---|---|
Model 1 | Model 2 | Model 1 | Model 2 | Model 1 | Model 2 | |
Type of hospital | 0.183 | 0.160 | 0.196 | 0.177 | 0.026 | 0.019 |
Gender | 0.031 | 0.044 | 0.157 | 0.161 | 0.042 | 0.044 |
Age | 0.069 | 0.070 | 0.111 | 0.114 | 0.026 | 0.026 |
Marital status | − 0.219a | − 0.220a | − 0.599a | − 0.609a | − 0.177a | − 0.179a |
Diagnosis | − 0.007 | − 0.009 | 0.001 | 0.000 | − 0.007 | − 0.007 |
Residence | − 0.591 | − 0.647 | − 0.114 | − 0.168 | − 0.053 | − 0.036 |
Admission severity | 0.256 | 0.266 | 0.665 | 0.674 | 0.263a | 0.266a |
Types of insurance | 0.179a | 0.076 | 0.123 | 0.116a | 0.061 | 0.016a |
URBMI in 2007 | 0.814 | − 1.690 | 0.132 | 0.501 | 0.058 | − 0.091 |
RR | 0.095a | 0.090 | 0.102a | 0.094a | 0.066a | 0.064a |
RR * NCMS | – | 0.329a | – | 0.121a | – | 0.011a |
RR * URBMI | – | 0.036 | – | 0.033 | – | 0.003 |
RR * UEBMI (Control group) | – | – | – | – | – | – |
R2 | 0.159 | 0.166 | 0.106 | 0.107 | 0.228 | 0.229 |
The coefficients could not be read in the same way because different regression models were used for each dependent variable
aP value < 0.05