The adjusted standardized infection ratio and cumulative attributable difference for central line-associated bloodstream infections and catheter-associated urinary tract infections in 2017, in Turkey

Authors : Can Hüseyin HEKİMOĞLU, Emine ALP MEŞE

Pages : 41-49

View : 11 | Download : 7

Publication Date : 2020-03-31

Article Type : Research Paper

Abstract :Background: Standardized infection ratio insert ignore into journalissuearticles values(SIR); is a new measure used in surveillance of healthcare-associated infections, and cumulative attributable difference insert ignore into journalissuearticles values(CAD); is another new measure complementary to SIR. This study aims to calculate the SIR and the CAD for central line-associated bloodstream infection insert ignore into journalissuearticles values(CLABSI); and catheter-associated urinary tract infection insert ignore into journalissuearticles values(CAUTI); at the national level in 2017. Material and Methods: Predicted number of CLABSI and CAUTI for the SIR and the CAD calculation was calculated by the formulas obtained from the negative binomial models using the national surveillance data in 2016 and the SIRs and CADs calculated for the data in 2017. Results: The average length of stay and hospital type are available in both models. While the CLABSI model has also ICU branch and number of hospital beds, the CAUTI model has catheter utilization ratio and the number of ICU beds. The standardized CLABSI ratio was 0.87 insert ignore into journalissuearticles values(95% CI:0.85-0.90); and the standardized CAUTI ratio was 0.84 insert ignore into journalissuearticles values(95% Cl:0.82-0.86);. The CAD for CLABSI and CAUTI was 697.26 and 659.76, respectively. 59.4% of the ICUs reached 25% reduction target for CLABSI and the 67.8% of the ICUs for CAUTI. Conclusion: The SIRs and the CADs in this study proof that Turkey has achieved success in the implementation of infection control measures in the ICUs for CLABSI and CAUTI, however, this ought to be improved further. We hope that our findings shall be guiding and encouraging for other countries.
Keywords : healthcare associated infections, surveillance, standardized infection ratio, cumulative attributable diffrerence