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Evaluation of Code Blue Notifications and Their Results: A University Hospital Example

OBJECTIVE: Code blue is one of the important practices for preventing mortality and morbidity and increasing the quality of care in hospitals. The aim of this study was to evaluate the blue code notifications and their results, emphasise their importance, and determine the effectiveness and deficien...

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Autores principales: Bişkin Çetin, Songül, Sezgin, Merve Gözde, Coşkun, Mustafa, Sarı, Funda, Boztuğ, Neval
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Turkish Society of Anaesthesiology and Reanimation 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210833/
https://www.ncbi.nlm.nih.gov/pubmed/37140575
http://dx.doi.org/10.5152/TJAR.2023.22965
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author Bişkin Çetin, Songül
Sezgin, Merve Gözde
Coşkun, Mustafa
Sarı, Funda
Boztuğ, Neval
author_facet Bişkin Çetin, Songül
Sezgin, Merve Gözde
Coşkun, Mustafa
Sarı, Funda
Boztuğ, Neval
author_sort Bişkin Çetin, Songül
collection PubMed
description OBJECTIVE: Code blue is one of the important practices for preventing mortality and morbidity and increasing the quality of care in hospitals. The aim of this study was to evaluate the blue code notifications and their results, emphasise their importance, and determine the effectiveness and deficiencies of the application. METHODS: In this study, all code blue notification forms recorded between January 1 and December 31, 2019, were examined retrospectively. RESULTS: It was determined that code blue calls were made for 108 cases, including 61 females and 47 males, and the mean age of the patients was 56.47 ± 20.73. The accuracy rate of the code blue calls was determined as 42.6%, and 57.4% of them were made during non-working hours. Also, 15.2% of the correct code blue calls were made from dialysis and radiology units. The mean time for the teams to reach the scene was 2.83 ± 1.30 minutes, and the mean time to respond to correctly made code blue calls was 33.97 ± 17.95 minutes. It was found that 15.7% of the patients in correctly made code blue calls were exitus after the intervention. CONCLUSION: Early diagnosis of cardiac or respiratory arrest cases and quick and correct intervention are very important in achieving patient and employee safety. For this reason, it is necessary to continuously evaluate code blue practices, educate the staff, and organise improvement activities constantly.
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spelling pubmed-102108332023-07-15 Evaluation of Code Blue Notifications and Their Results: A University Hospital Example Bişkin Çetin, Songül Sezgin, Merve Gözde Coşkun, Mustafa Sarı, Funda Boztuğ, Neval Turk J Anaesthesiol Reanim Original Article OBJECTIVE: Code blue is one of the important practices for preventing mortality and morbidity and increasing the quality of care in hospitals. The aim of this study was to evaluate the blue code notifications and their results, emphasise their importance, and determine the effectiveness and deficiencies of the application. METHODS: In this study, all code blue notification forms recorded between January 1 and December 31, 2019, were examined retrospectively. RESULTS: It was determined that code blue calls were made for 108 cases, including 61 females and 47 males, and the mean age of the patients was 56.47 ± 20.73. The accuracy rate of the code blue calls was determined as 42.6%, and 57.4% of them were made during non-working hours. Also, 15.2% of the correct code blue calls were made from dialysis and radiology units. The mean time for the teams to reach the scene was 2.83 ± 1.30 minutes, and the mean time to respond to correctly made code blue calls was 33.97 ± 17.95 minutes. It was found that 15.7% of the patients in correctly made code blue calls were exitus after the intervention. CONCLUSION: Early diagnosis of cardiac or respiratory arrest cases and quick and correct intervention are very important in achieving patient and employee safety. For this reason, it is necessary to continuously evaluate code blue practices, educate the staff, and organise improvement activities constantly. Turkish Society of Anaesthesiology and Reanimation 2023-04-01 /pmc/articles/PMC10210833/ /pubmed/37140575 http://dx.doi.org/10.5152/TJAR.2023.22965 Text en 2023 authors https://creativecommons.org/licenses/by/4.0/ Content of this journal is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Original Article
Bişkin Çetin, Songül
Sezgin, Merve Gözde
Coşkun, Mustafa
Sarı, Funda
Boztuğ, Neval
Evaluation of Code Blue Notifications and Their Results: A University Hospital Example
title Evaluation of Code Blue Notifications and Their Results: A University Hospital Example
title_full Evaluation of Code Blue Notifications and Their Results: A University Hospital Example
title_fullStr Evaluation of Code Blue Notifications and Their Results: A University Hospital Example
title_full_unstemmed Evaluation of Code Blue Notifications and Their Results: A University Hospital Example
title_short Evaluation of Code Blue Notifications and Their Results: A University Hospital Example
title_sort evaluation of code blue notifications and their results: a university hospital example
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10210833/
https://www.ncbi.nlm.nih.gov/pubmed/37140575
http://dx.doi.org/10.5152/TJAR.2023.22965
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