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Table 4 Anesthesia and sedation use measures

From: The impact of hospital accreditation on quality measures: an interrupted time series analysis

Model validation and parameter estimation Diagnostic tests
Anesthesia and Sedation Use Measures Intercept Time(β 1 ) Intervention (β 2 ) (Change in level) Tim_Aft_Int (β 3 ) (Change in slope) R2 Autocorrelation (AC) Check (Durbin Watson) Test for Seasonality/Stationarity (Dickey Fuller Unit Root Test)
Value P-value Value P-value Coefficient 95%Confidence Interval (LCI, UCI) P-value Coefficient 95%Confidence Interval (LCI, UCI) P-value D-Value (before) D-Value (after) P-value Result
Y 11 55.19 0.00* 5.02 0.00* −15.42(−23.38, −7.45) 0.00* −4.95(−6.12, −3.78) 0.00* 0.71 1.84 No AC 0.00 No Seasonality
Y 12 28.87 0.00* 7.2 0.00* −7.17(−12.11, −2.23) 0.01* −7.30(−8.49, −6.11) 0.00* 0.81 2.84 1.91 1.00 Data is not Stationary
Y 13 92.15 0.000* 0.7 0.22 0.97(−4.86, 6.80) 0.74 −0.84(−1.98, 0.30) 0.14 0.33 1.27 1.91 0.02 No Seasonality
Y 14 77.43 0.00* 2.61 0.00* −11.68(−20.04, −3.31) 0.01* −2.48(−4.07, −0.88) 0.00* 0.8 0.78 2.13 0.00 No Seasonality
Y 15 97.01 0.000* 0.22 0.81 −6.17(−14.37, 2.03) 0.14 −0.02(−1.90, 1.87) 0.98 0.45 0.92 1.75 0.00 No Seasonality
Y 16 67.2 0.00* 3.75 0.00* −12.83(−21.63, −4.03) 0.01* −3.64(−4.94, −2.35) 0.00* 0.53 1.76 No AC 0.00 No Seasonality
  1. AC refers to Autocorrelation, D-Value is the Durbin Watson statistic, *P ≤ 0.05 is considered significant.