Table 2.
Results of multivariable linear/ logistic regression models for the whole sample.
| Non-Adjusted | Adjusted | |||
|---|---|---|---|---|
| β or OR (95%CI) | p Trend | β or OR (95%CI) | p Trend | |
| Total costs (¥) & year | ||||
| 2014 | 0 | 0.201 | 0 | 0.118 |
| 2015 | 239.04 (151.74, 326.34) | 258.21 (170.38, 346.04) | ||
| 2016 | 68.73 (−16.04, 153.51) | 83.97 (−1.25, 169.18) | ||
| OOP expenditures (¥) & year | ||||
| 2014 | 0 | <0.001 | 0 | <0.001 |
| 2015 | 79.76 (36.07, 123.45) | 103.45 (59.51, 147.38) | ||
| 2016 | −100.22 (−142.65, –57.80) | −79.49 (−122.12, –36.86) | ||
| CR & year | ||||
| 2014 | 0 | <0.001 | 0 | <0.001 |
| 2015 | −0.01 (−0.01, −0.01) | −0.01 (−0.01, −0.01) | ||
| 2016 | 0.03 (0.03, 0.03) | 0.03 (0.03, 0.03) | ||
| OOPR & year | ||||
| 2014 | 0 | <0.001 | 0 | <0.001 |
| 2015 | 0.01 (0.01, 0.01) | 0.01 (0.01, 0.01) | ||
| 2016 | −0.03 (−0.03, −0.03) | −0.03 (−0.03, −0.03) | ||
| LOS & year | ||||
| 2014 | 0 | <0.001 | 0 | <0.001 |
| 2015 | 0.13 (0.03, 0.23) | 0.10 (−0.01, 0.20) | ||
| 2016 | −0.35 (−0.45, −0.25) | −0.38 (−0.48, −0.28) | ||
| R30 & year | ||||
| 2014 | 1 | <0.001 | 1 | <0.001 |
| 2015 | −0.27 (−0.35, −0.18) | −0.31 (−0.40, −0.23) | ||
| 2016 | −0.53 (−0.61, −0.44) | −0.56 (−0.65, −0.48) | ||
Note: The table shows the regression coefficients of different outcome variables & the independent variable (year). The regression coefficient β was for continuous outcome variables (total costs, OOP, CR, OOPR, and LOS), while OR was for binary outcome variables (R30). Adjusted: sex and age of the inpatients were adjusted. The year “2014” was set as the dummy variable.