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Table 4 The GLM analysis results of inpatient expenditures and length of stay: Adjusting for the secular trend

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

Variable

Ln (Total expenditure)

Ln (OOP payments)

Ln (OOP% of total expenditure)

Ln (Length of stay)

C-DRG reform (after vs. beforeref)

 − 0.008 (0.041)

 − 0.093 (0.046)*

 − 3.748 (0.672)***

 − 0.223 (0.040)***

Age

0.003 (0.001)

 − 0.0007 (0.002)

 − 0.095 (0.024)***

 − 0.002 (0.001)

Gender (female vs. maleref)

0.003 (0.025)

 − 0.020 (0.028)

 − 0.338 (0.406)

0.005 (0.024)

Insurance types (URRBMI vs. UEBMIref)

 − 0.052 (0.029)

0.196 (0.033)***

8.695 (0.483)***

 − 0.126 (0.029)***

Fracture location (femoral neck vs. trochantericref)

0.215 (0.023)***

0.233 (0.027)***

0.793 (0.386) *

0.080 (0.023)***

Treatment (HR/IF vs. othersref)

1.897 (0.029)***

1.931 (0.033)***

0.831 (0.480)

1.103 (0.029)***

Charlson Comorbidity Index (≥ 3 vs. < 3ref)

 − 0.011 (0.031)

 − 0.035 (0.035)

 − 0.437 (0.508)

0.002 (0.030)

Hospital level (tertiary vs. secondaryref)

0.180 (0.027)***

0.454 (0.031)***

10.675 (0.444)***

0.044(0.027)

Hospital type (TCM vs. generalref)

 − 0.007 (0.027)

0.013 (0.031)

0.644 (0.452)

 − 0.012 (0.027)

Intercept

7.942 (0.155)***

7.150 (0.175)***

44.103 (2.547)***

1.937 (0.152)***

Time trend

 − 0.002 (0.002)

 − 0.008 (0.003)**

 − 0.237 (0.037)***

0.009 (0.002)***

Septembera

 − 0.027 (0.042)

 − 0.078 (0.048)

 − 1.733 (0.700)*

0.054 (0.042)

Octobera

 − 0.004 (0.043)

 − 0.027 (0.048)

 − 0.653 (0.703)

 − 0.002 (0.042)

R-square

0.706

0.681

0.391

0.466

  1. Abbreviations: C-DRG Chinese diagnosis-related group, GLM Generalized linear models, ref reference group, OOP Out-of-pocket, 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. Standard errors in parentheses. *p < 0.05, **p < 0.01, ***p < 0.001
  3. aSeptember, October: indicators for inpatient admissions in these months