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Table 2 Patient assessment and laboratory safety measures

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

Model validation and parameter estimation Diagnostic tests
Patient assessment measures Intercept Time(β1) Intervention (β2) (Change in level) Tim_Aft_Int (β3) (Change in slope) R2 Autocorrelation (AC) Check Test for Seasonality/Stationarity
(Durbin Watson) (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 R2 D-Value (before) D-Value (after) P-value Result
Y 1 78.60 0.00* 1.19 0.35 −4.54 (−16.33 to 7.25) 0.44 −0.99(−3.63 to 1.65) 0.45 0.38 1.00 1.92 0.03 No Seasonality
Y 2 96.17 0.00* 0.13 0.53 1.24 (−1.63 to 4.11) 0.38 −0.18 (−0.60 to 0.24) 0.39 0.09 1.46 No AC 0.00 No Seasonality
Y 3 94.56 0.00* 0.16 0.85 −4.00 (−12.10 to 4.10) 0.33 −0.02 (−1.82 to 1.77) 0.98 0.34 1.05 2.22 0.04 No Seasonality
Y 4 32.56 0.00* 7.02 0.00* −13.91 (−32.37 to 4.56) 0.14 −7.28 (−10.00 to −4.56) 0.00* 0.48 1.72 No AC 0.00 No Seasonality
Laboratory safety measures
Y 5 (in hours) 7.06 0.00* −0.36 0.00* 0.34(0.13, 0.54) 0.52 0.34(0.04, 0.64) 0.00* 0.73 1.31 2.11 0.04 No Seasonality
Y 6 (minutes) 47.58 0.00* 0.15 0.46 −0.43(−2.99, 2.13) 0.74 −0.60(−1.02, −0.18) 0.01* 0.90 1.85 No AC 0.95 Data is not stationary
  1. AC refers to Autocorrelation, D-Value is the Durbin Watson statistic, *P ≤ 0.05 is considered significant.