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Table 1 Descriptive statistics of discharged patient characteristics and outcome variables before and after implementation of DIP reform

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

Variables

Before DIP reform (2020.4–2021.9)

After DIP reform (2021.10–2023.3)

Patient characteristics

 Discharge cases, No

794191

1,014112

Hospital level, No. (%)

 Tertiary

287773 (36.23)

325787 (32.13)

 Secondary

337562 (42.50)

408704 (40.30)

 Primary

168856 (21.26)

279621 (27.57)

 Male sex, No. (%)

408504 (51.44)

518981 (51.18)

 Age, mean (SD)

55.52 (20.27)

56.18 (21.11)

Insurance type

 UEBMI, No. (%)

241605 (30.42)

302732 (29.85)

 URBMI, No. (%)

552586 (69.58)

711380 (70.15)

Outcome variables

 All patients

  PRCP (%)

15.99

15.65

  CMI

1.16

1.15

  PPC (%)

16.61

15.35

  PC (%)

46.47

65.81

  NPC (%)

19.26

27.09

 Hospital level: Tertiary

  PRCP (%)

25.23

25.23

  CMI

1.74

1.83

  PPC (%)

4.98

4.63

  PC (%)

52.05

51.29

  NPC (%)

50.65

50.27

 Hospital level: Secondary

  PRCP (%)

13.20

15.12

  CMI

0.99

1.03

  PPC (%)

21.39

17.94

  PC (%)

72.77

73.11

  NPC (%)

45.42

47.84

 Hospital level: Primary

  PRCP (%)

5.82

5.26

  CMI

0.52

0.54

  PPC (%)

26.89

24.04

  PC (%)

37.33

64.77

  NPC (%)

7.74

18.12