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. 2019 May 3;16(9):1554. doi: 10.3390/ijerph16091554

Table 3.

Hierarchical regression results of cerebral infarction inpatients within and outside the county.

Within the County (N = 74,072) Out of the County (N = 4422) p for Interaction
Total costs (¥) & year
2014 0 0 <0.001
2015 313.10 (238.48, 387.73) 3299.79 (2408.25, 4191.33)
2016 163.06 (90.56, 235.56) 3663.67 (2763.31, 4564.02)
OOP expenditures (¥) & year
2014 0 0 <0.001
2015 105.10 (73.47, 136.73) 2793.37 (2278.95, 3307.79)
2016 −58.40 (−89.13, −27.67) 3001.65 (2482.15, 3521.16)
CR & year
2014 0 0 <0.001
2015 −0.01 (−0.01, −0.01) −0.19 (−0.20, −0.17)
2016 0.03 (0.03, 0.03) −0.18 (−0.20, −0.17)
OOPR & year
2014 0 0 <0.001
2015 0.01 (0.01, 0.01) 0.19 (0.17, 0.20)
2016 −0.03 (−0.03, -0.03) 0.18 (0.17, 0.20)
LOS & year
2014 0 0 <0.001
2015 0.18 (0.08, 0.28) 0.39 (−0.34, 1.11)
2016 −0.30 (−0.40, −0.20) 0.42 (−0.31, 1.15)
R30 & year
2014 1 1 <0.001
2015 0.70 (0.64, 0.76) 1.33 (0.73, 2.43)
2016 0.53 (0.49, 0.58) 2.00 (1.16, 3.45)

Note: The table shows the regression coefficients of different outcome variables and 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). The year “2014” was set as the dummy variable.