Skip to main content

Table 1 Epidemiology and the impact of multifaceted bundle approach in controlling CVC-ABSIs in non-ICU inpatients, year before and three years after the intervention

From: Epidemiology and impact of a multifaceted approach in controlling central venous catheter associated blood stream infections outside the intensive care unit

  Years p
  2008 2009 2010 2011  
Prevalence use of central line 15/632 (2.4%) 13/616 (2.1%) 11/573 (1.92%) 8/649 (1.2%) 0.50
   Surgery ward# 5/120 (4.2%) 4/115 (3.5%) 5/133 (3.8%) 5/118* (4.2%) 0.99
   Internal medicine ward# 5/266 (1.9%) 6/290 (2.1%) 3/276 (1.1%) 3/334* (0.9%) 0.57
Estimated number of catheter-days 2,587 2,233 2,176 1,285 <0.05
Prevalence use of parenteral nutrition by central line 8/15 (53.3%) 5/13 (38.5%) 5/11 (45.5%) 6/8 (75%) 0.83
   Surgery ward# 4/5 (80%) 3/4 (75%) 4/5 (80%) 5/5 (100%) 0.99
   Internal medicine ward# 2/5 (40%) 0/6 (0%) 0/3 (0%) 1/3 (33.3%) 0.41
Mean age ± SD 60.2 ± 20.9 63.2 ± 19.5 64.9 ± 19.9 65.9 ± 18.5 <0.05
Mean length of stay (days) in surgery ward 10.93 10.61 10.98 10.37 0.97
Mean length of stay (days) in internal medicine ward 9.58 9.36 9.33 9.17 0.95
CVC-ABSIs surveillance
No. of blood cultures performed/1,000 inpatient-days 23.3 27.1 29.5 29.2  
No. of CVC-ABSIs / No. of blood cultures performed 39/2880 25/3275 23/3483 11/3422 <0.001
Positive catheter tip culture 27/39 (69.2%) 18/25 (72%) 14/23 (60.9%) 11/11 (100%) 0.83
No. CVC-ABSIs /1,000 catheter-days 15.1 11.2 10.6 8.6  
   Surgery ward 18.9 20.2* 14.1 8.9  
   Internal medicine ward 14.1 2.8* 8.7 4  
Alcohol-based handrubs consumption. L/1,000 inpatient-days 2.34 6.07 3.5 5,2  
   Surgery ward 1.1 5.6 3.76 4.6  
   Internal medicine ward 2.2 6.78 4.64 4.97  
  1. *Differences between Surgery and Internal Medicine ward were significant in this year and estimated CVC-ABSIs incidence rate in Internal Medicine was significantly lower in 2009 compared to 2008, p<0.05. #Differences in prevalence use of CVC and parenteral nutrition between Surgery and Internal Medicine wards are significant when comparing the sum total of the years, p<0.05. Statistical analyses: Chi-square for trend. Poisson model to calculate and compare rates.
\