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Table 2 Interrupted time series analysis results for utilization of antibiotics under price control

From: Evaluating the impact of price regulation (Drug Price Control Order 2013) on antibiotic sales in India: a quasi-experimental analysis, 2008–2018

Variable

MODEL 1

MODEL 2

MODEL 3

 

Coefficient

p value (95%CI)

Coefficient

p value (95%CI)

Coefficient

p value (95%CI)

Time

0.004

0.000 (0.003–0.005)

0.005

0.000 (0.002–0.007)

0.81

0.045 (0.001–0.161)

Intervention

(level change)

− 0.008

0.809 (− 0.059–0.076)

− 0.037

0.517 (− 0.152–0.077)

− 5.795

0.000 (− 8.243– − 3.347)

Time after intervention (trend change)

− 0.003

0.002 (− 0.005–− 0.001)

− 0.003

0.100 (− 0.007–0.000)

0.095

0.257 (0.070–0.262)

Seasonal dummy

0.208

0.000 (0.169–0.247)

0.125

0.000 (0.083–0.167)

  

Const.

19.63

0.000 (19.593–19.683)

19.63

0.000 (19.46–19.71)

43.13

0.000 (39.806–46.460)

Number of observations

112 (pre-intervention: 65 and post-intervention: 47)

112 (pre-intervention: 65 and post-intervention: 47)

112 (pre-intervention: 65 and post-intervention: 47)

R2

0.7208

0.987

0.625