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Table 1 Characteristics of the study population before and after propensity score matching

From: Associations of Chinese diagnosis-related group systems with inpatient expenditures for older people with hip fracture

Variables

Before matching

After matching

Before C-DRG (n = 2137)

After C-DRG (n = 1137)

pa

Before C-DRG (n = 1123)

After C-DRG (n = 1123)

pa

Age years, mean (SD)

78.93(8.12)

79.33(8.06)

0.204

79.02(7.95)

79.33(8.06)

0.408

bGender, n (%)

  

0.007

  

1.000

  Male

799 (37.4)

371 (32.6)

 

357(31.8)

357(31.8)

 

  Female

1338 (62.6)

766 (67.4)

 

766(68.2)

766(68.2)

 

bInsurance type, n (%)

  

 < 0.001

  

1.000

  URRBMI

1884 (88.2)

916 (80.6)

 

916(81.6)

916(81.6)

 

  UEBMI

253 (11.8)

221 (19.4)

 

207(18.4)

207(18.4)

 

bFracture location, n (%)

  

 < 0.001

  

1.000

  Femoral neck

1182 (55.3)

497 (43.7)

 

497(44.3)

497(44.3)

 

  Trochanteric region

955 (44.7)

640 (56.3)

 

626(55.7)

626(55.7)

 

bTreatment methods, n (%)

  

 < 0.001

  

1.000

  HR/IF

1572(73.6)

925 (81.4)

 

911(81.1)

911(81.1)

 

  Other treatments

565 (26.4)

212 (18.6)

 

212(18.9)

212(18.9)

 

Charlson Comorbidity Index,n(%)

  

0.412

  

0.951

  < 3

1860 (87.0)

978 (86.0)

 

968(86.2)

967(86.1)

 

  ≥ 3

277 (13.0)

159 (14.0)

 

155(13.8)

156(13.9)

 

Hospital level, n (%)

  

0.920

  

0.307

  Tertiary hospital

524 (24.5)

277 (24.4)

 

293(26.1)

272(24.2)

 

  Secondary hospital

1613(75.5)

860 (75.6)

 

830(73.9)

851(75.8)

 

Hospital type, n (%)

  

0.406

  

0.675

  General hospital

1682(78.7)

909 (79.9)

 

890(79.3)

898(80.0)

 

  TCM hospital

455 (21.3)

228 (20.1)

 

233(20.7)

225(20.0)

 
  1. Abbreviations: SD Standard deviation, C-DRG Chinese diagnosis-related group, UEBMI Urban Employee Basic Medical Insurance, URRBMI Urban and Rural Resident Basic Medical Insurance, HR/IF Hip replacement/internal fixation, TCM Traditional Chinese medicine
  2. aResults of independent samples t test for continuous variables and Chi-square tests for categorical variables
  3. bThese variables were included in the propensity score matching estimators, by giving priority to exact matches