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Table 4 The results of interrupted time series analysis for expenditures (million CNY)

From: The impact of the national volume-based procurement policy on the use of policy-related drugs in Nanjing: an interrupted time-series analysis

Categories

Constant

β0(Yt0)

Secular trend

β1(Yt1)

Level change

β2(Yt2)

Trend change

β3(Yt3)

Drugs under the same generic name

 Bid-winning drugs

8.21*** (9.84)

0.08 (8.71)

9.57*** (16.76)

0.34 (21.25)

 Generic drugs

41.80*** (44.71)

-0.21 (40.37)

-33.00*** (12.90)

0.65 (8.70)

 Branded drugs

54.40*** (55.95)

-0.09 (53.30)

-35.50*** (25.96)

0.03 (18.31)

 Total

102.00*** (110.49)

0.27 (103.00)

-48.20** (69.05)

-1.17 (48.63)

Alternative drugs under different generic names

 Perfect clinical equivalence

4.28*** (5.40)

0.01 (4.35)

0.37 (5.44)

0.03 (5.04)

 Fundamental clinical equivalence

8.12*** (8.42)

0.03 (8.25)

-0.81 (10.33)

0.21 (9.05)

 Limited clinical equivalence

23.70*** (25.76)

0.67* (27.69)

-5.05 (35.72)

0.56 (34.39)

 Total

36.00*** (39.59)

0.73 (40.29)

-5.52 (51.50)

0.77 (48.48)

  1. ***p-value < 0.001
  2. **p-value < 0.01
  3. *p-value < 0.05
  4. Yt0 refers to the Yt value of expenditures in the first month included in the study
  5. Yt1 refers to the average expenditures before policy intervention
  6. Yt2 refers to the value of expenditures in the month of policy intervention
  7. Yt3 refers to the average expenditures after policy intervention