Title |
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)
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Published in |
Annals of Clinical Microbiology and Antimicrobials, May 2013
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DOI | 10.1186/1476-0711-12-10 |
Pubmed ID | |
Authors |
Hakan Leblebicioglu, Recep Öztürk, Victor Daniel Rosenthal, 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 |
Abstract |
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 have shown that practice bundles reduce the incidence of CLAB in intensive care units. However, the impact of the bundle strategy has not been systematically analyzed in the adult intensive care unit (ICU) setting in developing countries, such as Turkey. The aim of this study is to analyze the impact of the International Nosocomial Infection Control Consortium (INICC) multidimensional infection control approach to reduce the rates of CLAB in 13 ICUs of 13 INICC member hospitals from 8 cities of Turkey. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
Unknown | 79 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 10 | 13% |
Student > Bachelor | 9 | 11% |
Student > Ph. D. Student | 8 | 10% |
Student > Master | 8 | 10% |
Lecturer | 6 | 8% |
Other | 24 | 30% |
Unknown | 15 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 39% |
Nursing and Health Professions | 16 | 20% |
Agricultural and Biological Sciences | 3 | 4% |
Environmental Science | 2 | 3% |
Social Sciences | 2 | 3% |
Other | 5 | 6% |
Unknown | 21 | 26% |