ANALYSIS OF CROWDING IN AN ADULT EMERGENCY DEPARTMENT OF A TERTIARY UNIVERSITY HOSPITAL
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
dc.contributor | en-US | |
dc.contributor | es-ES | |
dc.creator | Peroni H, José; Hospital Italiano de Buenos Aires | |
dc.creator | Pedretti, Ana; Hospital Italiano de Buenos Aires | |
dc.creator | Elizondo, María Cristina; Hospital Italiano de Buenos Aires | |
dc.creator | Grande Ratti, Maria Florencia; Hospital Italiano de Buenos Aires | |
dc.creator | Gonzalez B, Fernan; Hospital Italiano de Buenos Aires | |
dc.creator | Waisman d, Gabriel; Hospital Italiano de Buenos Aires | |
dc.creator | Giunta o H, Diego; Hospital Italiano de Buenos Aires | |
dc.creator | Martinez, Bernardo; Hospital Italiano de Buenos Aires | |
dc.date | 2017-06-05 | |
dc.date.accessioned | 2019-11-11T18:28:15Z | |
dc.date.available | 2019-11-11T18:28:15Z | |
dc.identifier | http://www.revistamedicadechile.cl/ojs/index.php/rmedica/article/view/4767 | |
dc.identifier.uri | https://revistaschilenas.uchile.cl/handle/2250/111492 | |
dc.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 hours = 8760). 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, 124758 visits to the ED were registered. Overcrowding was present in 57.7% (5055) 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. | en-US |
dc.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 hours = 8760). 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, 124758 visits to the ED were registered. Overcrowding was present in 57.7% (5055) 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. | es-ES |
dc.format | application/pdf | |
dc.language | spa | |
dc.publisher | Revista Médica de Chile | es-ES |
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dc.relation | http://www.revistamedicadechile.cl/ojs/index.php/rmedica/article/downloadSuppFile/4767/26444 | |
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dc.relation | http://www.revistamedicadechile.cl/ojs/index.php/rmedica/article/downloadSuppFile/4767/29557 | |
dc.relation | http://www.revistamedicadechile.cl/ojs/index.php/rmedica/article/downloadSuppFile/4767/30028 | |
dc.source | Revista Médica de Chile; Vol. 145, núm. 5 (2017): MAYO 2017 | es-ES |
dc.source | 0034-9887 | |
dc.subject | Crowding; Emergency Medical Services; Medical Informatics | en-US |
dc.subject | Crowding; Emergency Medical Services; Medical Informatics | es-ES |
dc.title | ANALYSIS OF CROWDING IN AN ADULT EMERGENCY DEPARTMENT OF A TERTIARY UNIVERSITY HOSPITAL | en-US |
dc.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 | es-ES |
dc.type | info:eu-repo/semantics/article | |
dc.type | info:eu-repo/semantics/publishedVersion | |
dc.type | es-ES |