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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.