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Evaluation of Code Blue Implementation Outcomes
Author(s) -
Bengü Özütürk,
Nalan Muhammedoğlu,
Emel Parlar Dal,
Berna Çalışkan
Publication year - 2015
Publication title -
haseki tıp bülteni
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.113
H-Index - 4
eISSN - 2147-2688
pISSN - 1302-0072
DOI - 10.4274/haseki.2276
Subject(s) - computer science , code (set theory) , programming language , set (abstract data type)
Aim: In this study, we aimed to emphasize the importance of Code\udBlue implementation and to determine deficiencies in this regard.\udMethods: After obtaining the ethics committee approval, 225\udpatient’s code blue call data between 2012 and 2014 January\udwere retrospectively analyzed. Age and gender of the patients,\uddate and time of the call and the clinics giving Code Blue, the time\udneeded for the Code Blue team to arrive, the rates of false Code\udBlue calls, reasons for Code Blue calls and patient outcomes were\udinvestigated.\udResults: A total of 225 patients (149 male, 76 female) were\udevaluated in the study. The mean age of the patients was 54.1\udyears. 142 (67.2%) Code Blue calls occurred after hours and by\udemergency unit. The mean time for the Code Blue team to arrive\udwas 1.10 minutes. Spontaneous circulation was provided in 137\udpatients (60.8%); 88 (39.1%) died. The most commonly identified\udpossible causes were of cardiac origin.\udConclusion: This study showed that Code Blue implementation\udwith a professional team within an efficient and targeted time\udincrease the survival rate. Therefore, we conclude that the\udapplication of Code Blue carried out by a trained team is an\udessential standard in hospitals. (The Medical Bulletin of Haseki\ud2015; 53:204-8

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