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Table 2 Interrupted time series (ITS) analyses for total expenditure per case, length of stay, and in-hospital mortality of hospitalized insured patients before and after the DIP reform

From: Variations in the impact of the new case-based payment reform on medical costs, length of stay, and quality across different hospitals in China: an interrupted time series analysis

Indicators

Baseline monthly slope (β1)

Step change (β2)

Monthly slope change (β3)

Constant (β0)

Estimate (95%CI)

P value

Estimate (95%CI)

P value

Estimate (95%CI)

P value

Estimate (95%CI)

P value

All hospitals

 ln (Total expenditure per case)

-0.006 (-0.009, -0.003)

0.000

0.059 (0.025, 0.093)

0.001

0.011 (0.007, 0.014)

0.000

9.309 (8.296, 10.322)

0.000

 Length of stay

-0.052 (-0.074, -0.031)

0.000

0.371 (0.128, 0.615)

0.004

0.009 (-0.017, 0.037)

0.492

-1.707 (-10.943, 7.528)

0.709

 In-hospital mortality rate

-0.009 (-0.020, 0.002)

0.091

0.016 (-0.107, 0.140)

0.788

-0.003 (-0.015, 0.009)

0.622

-6.910 (-10.687, -3.133)

0.001

Hospital ownership

 Public hospitals

  ln (Total expenditure per case)

-0.006 (-0.009, -0.003)

0.000

0.056 (0.021, 0.092)

0.003

0.011 (0.008, 0.014)

0.000

9.690 (8.757, 10.623)

0.000

  Length of stay

-0.060 (-0.079, -0.042)

0.000

0.309 (0.060, 0.558)

0.016

0.022 (0.001, 0.043)

0.041

-1.163 (-8.101, 5.775)

0.736

  In-hospital mortality rate

-0.011 (-0.020, -0.002)

0.017

-0.017 (-0.129, 0.095)

0.766

0.001 (-0.009, 0.010)

0.901

-6.787 (-9.621, -3.953)

0.000

 Private hospitals

  ln (Total expenditure per case)

0.003 (0.000, 0.007)

0.038

0.020 (-0.118, 0.157)

0.773

-0.003 (-0.010, 0.003)

0.322

8.601 (7.599, 9.602)

0.000

  Length of stay

0.053 (-0.007, 0.113)

0.084

0.624 (-2.791, 4.039)

0.713

-0.141 (-0.290, 0.008)

0.062

-9.917 (-37.460, 17.627)

0.469

  In-hospital mortality rate

0.005 (-0.019, 0.028)

0.697

-0.236 (-1.183, 0.712)

0.617

-0.083 (-0.133, -0.032)

0.002

1.589 (-4.179, 7.357)

0.579

Hospital level

 Tertiary hospitals

  ln (Total expenditure per case)

-0.002 (-0.005, -0.000)

0.033

0.074 (0.036, 0.113)

0.000

0.006 (0.004, 0.008)

0.000

9.597 (8.326, 10.869)

0.000

  Length of stay

-0.050 (-0.068, -0.032)

0.000

0.051 (-0.254, 0.355)

0.737

-0.013 (-0.032, 0.005)

0.165

4.974 (-4.817, 14.764)

0.309

  In-hospital mortality rate

-0.009 (-0.015, -0.003)

0.006

0.034 (-0.087, 0.154)

0.573

-0.003 (-0.010, 0.005)

0.452

-7.106 (-12.306, -1.906)

0.009

 Secondary hospitals

  ln (Total expenditure per case)

-0.000 (-0.002, 0.001)

0.899

-0.049 (-0.092, -0.007)

0.025

0.004 (0.000, 0.008)

0.047

7.807 (7.328, 8.286)

0.000

  Length of stay

-0.005 (-0.033, 0.023)

0.729

0.296 (-0.433, 1.025)

0.414

-0.048 (-0.105, 0.009)

0.095

12.784 (5.292, 20.276)

0.001

  In-hospital mortality rate

0.005 (-0.006, 0.015)

0.349

-0.144 (-0.416, 0.129)

0.291

-0.037 (-0.059, -0.014)

0.002

-4.148 (-6.841, -1.455)

0.004

 Primary hospitals

  ln (Total expenditure per case)

-0.005 (-0.011, 0.001)

0.113

0.064 (0.020, 0.109)

0.006

0.009 (0.000, 0.018)

0.039

9.373 (8.651, 10.095)

0.000

  Length of stay

-0.100 (-0.262, 0.063)

0.222

1.096 (-0.167, 2.360)

0.087

0.235 (0.022, 0.449)

0.032

7.788 (-19.674, 35.251)

0.568

  In-hospital mortality rate

-0.026 (-0.076, 0.023)

0.291

-0.261 (-0.609, 0.087)

0.137

0.066 (-0.010, 0.141)

0.088

-9.395 (-17.074, -1.716)

0.018

  1. DIP denoted the Diagnosis-Intervention Packet payment reform; CI the confidence interval. Total expenditure was adjusted to 2019 considering inflation using the annual consumer price index of China. Total expenditure per case was logarithmically transformed in the ITS model. ITS analyses controlled for the number of discharge cases, age, sex, Charlson Comorbidity Index of patients, and seasonality, with robust standard errors