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. 2017 Nov 27;33(5):1000–1007. doi: 10.3904/kjim.2016.323

Table 2.

Results of segmented Poisson regression analysis of an interrupted time series exploring the effect of multiple interventions

Variable Trend before INT
Change in level after INTa
Change in trend after INTb
β1 (95% CI) p value β2 (95% CI) p value β3 (95% CI) p value
Admission-prevalence density of CRABc 0.175 (0.052 to 0.298) 0.005 0.164 (–0.673 to 1.001) 0.700 –0.185 (–0.310 to –0.059) 0.004
Incidence density of CRABd 0.347 (0.175 to 0.517) < 0.001 0.289 (–0.409 to 0.987) 0.417 –0.413 (–0.585 to –0.240) < 0.001
Incidence density of CRAB including both ASC and clinical culturese 0.347 (0.161 to 0.532) < 0.001 0.513 (–0.206 to 1.232) 0.162 –0.406 (–0.594 to –0.219) < 0.001
Incidence density of MRSAf 0.025 (–0.043 to 0.092) 0.472 –0.137 (–1.023 to 0.750) 0.763 –0.067 (–0.150 to 0.011) 0.091

INT, intervention; CI, confidence interval; CRAB, carbapenem-resistant Acinetobacter baumannii; ASC, active surveillance cultures; MRSA, methicillin resistant Staphylococcus aureus.

a

Differences between first value after and last value before INT.

b

Monthly change after INT when compared with trend before INT.

c

Durbin-Watson statistic (DWS) = 1.847.

d

DWS = 1.188.

e

DWS = 1.203.

f

DWS = 1.188.