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Table 2 The impact of DIP payment reform on different levels of medical institutions based on ITSA

From: Does a new case-based payment system promote the construction of the ordered health delivery system? Evidence from a pilot city in China

Hospital-Level

Variables

Baseline slope β1 (95%CI)

Step change β2 (95%CI)

Slope change β3 (95%CI)

Tertiary

PRCP

-0.139 (-0.196, -0.082)***

0.832 (-0.072, 1.736)

0.197 (0.094, 0.300)***

CMI

-0.009 (-0.013, -0.006)***

0.071 (0.013, 0.128)*

0.022 (0.016, 0.029)***

PPC

0.123 (0.038, 0.208)**

-0.097 (-1.208, 1.014)

-0.290 (-0.392, -0.188)***

PC

0.209 (-0.146, 0.564)

2.216 (-2.205, 6.637)

-0.786 (-1.207, -0.366)**

NPC

0.278 (0.057, 0.498)*

-1.059 (-4.005, 1.888)

-0.509 (-0.873, -0.144)**

Secondary

PRCP

0.030 (-0.054. 0.114)

0.291 (-0.874, 1.456)

0.132 (0.022, 0.242)*

CMI

-0.004 (-0.005, -0.002)***

0.037 (0.015, 0.059)**

0.008 (0.006, 0.010)***

PPC

-0.010 (-0.190, 0.169)

6.940 (3.684, 10.196)***

-1.200 (-1.533, -0.878)***

PC

-0.935 (-1.349, -0.521)***

14.982 (9.819, 20.144)***

0.257 (-0.330, 0.843)

NPC

0.042 (-0.180, 0.264)

-4.058 (-7.343, -0.773)*

0.672 (0.379, 0.966)***

Primary

PRCP

-0.026 (-0.104, 0.051)

-1.676 (-2.736, -0.615)**

0.186 (0.078, 0.294)**

CMI

-0.001 (-0.002, -0.001)***

0.019 (0.009, 0.028)***

0.002 (0.001, 0.003)***

PPC

-0.133 (-0.251, -0.015)*

3.926 (0.285, 7.568)*

-0.515 (-0.864, -0.166)**

PC

2.294 (1.545, 3.042)***

3.250 (-5.654, 12.155)

-2.011 (-2.892, -1.130)***

NPC

0.657 (0.506, 0.809)***

-0.387 (-2.145, 1.370)

-0.124 (-0.297, 0.049)

  1. PRCP Proportion of patients receiving complicated procedures, CMI Case mix index, PPC Proportion of primary-DIP-groups cases, PC Primary-DIP-groups coverage, NPC Non-primary-DIP-groups coverage
  2. *\(p < 0.05\)
  3. **\(p < 0.01\)
  4. ***\(p < 0.001\)