Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva

Background: Crowding in Emergency Departments (ED), results from the imbalance between the simultaneous demand for health care and the ability of the system to respond. The NEDOCS scale (National Emergency Department Crowding Scale) measures the degree of crowding in an ED. Aim: To describe ED Crowd...

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Autores principales:	Giunta,Diego Hernán, Pedretti,Ana Soledad, Elizondo,Cristina María, Grande Ratti,María Florencia, González Bernaldo de Quiros,Fernán, Waisman,Gabriel Darío, Peroni,Hector José, Martínez,Bernardo
Lenguaje:	Spanish / Castilian
Publicado:	Sociedad Médica de Santiago 2017
Materias:	Crowding Emergency Medical Services Medical Informatics
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872017000500001
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spelling	oai:scielo:S0034-988720170005000012017-11-16Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectivaGiunta,Diego HernánPedretti,Ana SoledadElizondo,Cristina MaríaGrande Ratti,María FlorenciaGonzález Bernaldo de Quiros,FernánWaisman,Gabriel DaríoPeroni,Hector JoséMartínez,Bernardo Crowding Emergency Medical Services Medical Informatics Background: Crowding in Emergency Departments (ED), results from the imbalance between the simultaneous demand for health care and the ability of the system to respond. The NEDOCS scale (National Emergency Department Crowding Scale) measures the degree of crowding in an ED. Aim: To describe ED Crowding characteristics, using the NEDOCS scale, in an Argentinean hospital. Material and Methods: A retrospective cohort study was conducted with all adult patient consultations between July 2013 and July 2014 at the ED of Hospital Italiano de Buenos Aires. We included all hours in the analysis period (365 days x 24 h = 8,760). The NEDOCS value was calculated for each hour using an automatic algorithm and was quantified in a six points score. Levels 4 (overcrowded), 5 (severely overcrowded) and 6 (dangerously overcrowded) were defined as overcrowding. Contour plots analysis was applied to identify patterns. Results: During the study period, 124,758 visits to the ED were registered. Overcrowding was present in 57.7% (5,055) of the analyzed hours. A predominance of scores between four and five was observed between 10:00 and 24:00 hours. The months with predominance of overcrowding were June, July and August (southern winter). Conclusions: The calculation of the NEDOCS score and the analysis of its temporal distribution are highly relevant to identify opportunities for improvement and to develop mechanisms to prevent the highest categories of overcrowding.info:eu-repo/semantics/openAccessSociedad Médica de SantiagoRevista médica de Chile v.145 n.5 20172017-05-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872017000500001es10.4067/S0034-98872017000500001
institution	Scielo Chile
collection	Scielo Chile
language	Spanish / Castilian
topic	Crowding Emergency Medical Services Medical Informatics
spellingShingle	Crowding Emergency Medical Services Medical Informatics Giunta,Diego Hernán Pedretti,Ana Soledad Elizondo,Cristina María Grande Ratti,María Florencia González Bernaldo de Quiros,Fernán Waisman,Gabriel Darío Peroni,Hector José Martínez,Bernardo Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva
description	Background: Crowding in Emergency Departments (ED), results from the imbalance between the simultaneous demand for health care and the ability of the system to respond. The NEDOCS scale (National Emergency Department Crowding Scale) measures the degree of crowding in an ED. Aim: To describe ED Crowding characteristics, using the NEDOCS scale, in an Argentinean hospital. Material and Methods: A retrospective cohort study was conducted with all adult patient consultations between July 2013 and July 2014 at the ED of Hospital Italiano de Buenos Aires. We included all hours in the analysis period (365 days x 24 h = 8,760). The NEDOCS value was calculated for each hour using an automatic algorithm and was quantified in a six points score. Levels 4 (overcrowded), 5 (severely overcrowded) and 6 (dangerously overcrowded) were defined as overcrowding. Contour plots analysis was applied to identify patterns. Results: During the study period, 124,758 visits to the ED were registered. Overcrowding was present in 57.7% (5,055) of the analyzed hours. A predominance of scores between four and five was observed between 10:00 and 24:00 hours. The months with predominance of overcrowding were June, July and August (southern winter). Conclusions: The calculation of the NEDOCS score and the analysis of its temporal distribution are highly relevant to identify opportunities for improvement and to develop mechanisms to prevent the highest categories of overcrowding.
author	Giunta,Diego Hernán Pedretti,Ana Soledad Elizondo,Cristina María Grande Ratti,María Florencia González Bernaldo de Quiros,Fernán Waisman,Gabriel Darío Peroni,Hector José Martínez,Bernardo
author_facet	Giunta,Diego Hernán Pedretti,Ana Soledad Elizondo,Cristina María Grande Ratti,María Florencia González Bernaldo de Quiros,Fernán Waisman,Gabriel Darío Peroni,Hector José Martínez,Bernardo
author_sort	Giunta,Diego Hernán
title	Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva
title_short	Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva
title_full	Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva
title_fullStr	Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva
title_full_unstemmed	Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva
title_sort	descripción de las características del fenómeno crowding en la central de emergencia de adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva
publisher	Sociedad Médica de Santiago
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872017000500001
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Descripción de las características del fenómeno Crowding en la Central de Emergencia de Adultos, en un hospital universitario de alta complejidad: estudio de cohorte retrospectiva

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