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Table 3 Code rate and unplanned ICU admission rate before and after the implementation of AAS

From: Incorporating a real-time automatic alerting system based on electronic medical records could improve rapid response systems: a retrospective cohort study

Outcomes

RRS without AAS (Aug 2015–Nov 2016)

RRS with AAS (Dec 2016–Nov 2017)

p valuea

Total code rate (per 1000 admissions)

0.4139

0.3305

0.5098

Preventable code rate (per 1000 admissions)

0.2446

0.1181

0.1570

In-hospital mortality (per 1000 admissions)

12.6990

13.1038

0.5814

Unplanned ICU admission (per 1000 admissions)

6.0767

6.5401

0.3678

     RRS activation

1.7120

2.7624

0.0005

     RRS non-activation

4.3647

3.7777

0.1587

ICU day (median, day, IQR)

2.77 (1.29–6.96)

2.54 (1.13–5.67)

0.0244

     RRS activation

2.96 (1.25–8.17)

2.71 (1.04–5.21)

0.0360

     RRS non-activation

2.63 (1.29–6.29)

2.54 (1.29–5.79)

0.0917

ICU mortality (N, %)

49 (15.2)

25 (9.0)

0.0225

     RRS activation

17 (18.7)

8 (6.8)

0.0092

     RRS non-activation

32 (13.8)

17 (10.6)

0.3512

Length of hospital stay from first RRS activation (median, day, IQR)

12.90 (5.27–26.46)

9.33 (4.05–20.13)

0.0956

  1. AAS automatic alerting system, ICU intensive care unit, IQR interquartile range, RRS rapid response system
  2. ap value determined using the chi-square test or Fisher’s exact test for categorical variables and Student’s t test for continuous variables (RRS without AAS vs. RRS with AAS)