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Table 5 Coefficients (standard errors) for effects of the new case-based payment without “same disease, same price”

From: Impact of a new case-based payment scheme on volume distribution across public hospitals in Zhejiang, China: does ‘Same disease, same price’ matter

 

Secondary hospitals

Tertiary hospitals

Proportion of discharges

Proportion of total medical revenue

Proportion of hospitalization revenue

Proportion of discharges

Proportion of total medical revenue

Proportion of hospitalization revenue

Before intervention

 Level (control group, β0)

1.7503*** (0.2530)

1.5556*** (0.2006)

1.3851*** (0.2439)

6.2201*** (1.2338)

6.4378*** (1.3714)

6.6577*** (1.6154)

 Trend (control group, β1)

-0.0006 (0.0047)

0.0020 (0.0032)

0.0017 (0.0038)

-0.0010 (0.0112)

-0.0032 (0.0141)

-0.0032 (0.0151)

 Difference in level (β4)

-0.1502 (0.4421)

-0.2260 (0.3425)

-0.1461 (0.3975)

-0.0201 (1.7699)

0.0128 (1.9463)

-0.0498 (2.3192)

 Difference in trend (β5)

-0.0002 (0.0056)

-0.0013 (0.0036)

-0.0001 (0.0042)

0.0025 (0.0132)

0.0034 (0.0159)

0.0021 (0.0167)

After intervention

 Level change (control group, β2)

0.0554 (0.0324)

0.0480 (0.0256)

0.0752 (0.0404)

-0.0206 (0.0757)

-0.0360 (0.0810)

-0.0467 (0.1105)

 Change in trend (control group, β3)

-0.0012 (0.0060)

-0.0026 (0.0035)

-0.0035 (0.0052)

-0.0005 (0.0163)

0.0008 (0.0133)

-0.0031 (0.0198)

 Difference in level change (β6)

-0.1074* (0.0540)

-0.0729* (0.0327)

-0.1062* (0.0508)

0.0454 (0.1016)

0.0542 (0.1252)

0.0400 (0.1626)

 Difference in change in trend (β7)

-0.0045 (0.0084)

-0.0008 (0.0048)

-0.0046 (0.0083)

0.0083 (0.0222)

0.0025 (0.0187)

0.0138 (0.0311)

  1. *p < 0.05, **p < 0.01, ***p < 0.001