Impact of a multidimensional infection control approach on central line-associated bloodstream infections rates in adult intensive care units of 8 cities of Turkey: findings of the International Nosocomial Infection Control Consortium (INICC)

• DOI: 10.1186/1476-0711-12-10
• Publication Date: 2013-05-04T03:22:13Z
• Authors: Hakan Leblebicioglu; Recep Öztürk; Victor Daniel Ros...; Özay Arıkan Akan; Fatma Sirmatel; Davut Ozdemir; Cengiz Uzun; Huseyin Turgut; Gulden Ersoz; Iftíhar Koksal; Asu Özgültekin; Saban Esen; Fatma Ulger; Ahmet Dilek; Hava Yilmaz; Yalim Dikmen; Gökhan Aygún; Melek Tulunay; Mehmet Oral; Necmettin Ünal; Mustafa Cengiz; Leyla Yilmaz; Mehmet Faruk Geyik; Ahmet Şahin; Selvi Erdogan; Suzan Sacar; Hülya Sungurtekin; Doğaç Uğurcan; Ali Kaya; Necdet Kuyucu; Gürdal Yýlmaz; Selçuk Kaya; Hülya Ulusoy; Asuman İnan
• Keywords: Rate ratio; Bloodstream infection

Central line-associated bloodstream infections (CLABs) have long been associated with excess lengths of stay, increased hospital costs and mortality attributable to them. Different studies from developed countries shown that practice bundles reduce the incidence CLAB in intensive care units. However, impact bundle strategy has not systematically analyzed adult unit (ICU) setting developing countries, such as Turkey. The aim this study is analyze International Nosocomial Infection Control Consortium (INICC) multidimensional infection control approach rates 13 ICUs INICC member hospitals 8 cities We conducted active, prospective surveillance before-after determine a cohort 4,017 adults hospitalized ICUs. applied definitions CDC/NHSN methods. was divided into baseline intervention periods. During baseline, active outcome performed. intervention, for reduction implemented included following measures: 1- interventions, 2- education, 3- surveillance, 4- process 5- feedback rates, 6- performance on practices. obtained were compared during intervention. 3,129 central line (CL) days recorded, we recorded 23,463 CL-days. used random effects Poisson regression account clustering within across time rate 22.7 per 1000 CL days, which decreased period 12.0 CLABs (IRR 0.613; 95% CI 0.43 – 0.87; P 0.007). This amounted 39% CLAB. implementation significant Turkey, thus should be widely implemented.