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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 / Analysis of Crowding in an Adult Emergency Department of a tertiary university hospital
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.
Afiliação
  • Giunta, Diego Hernán; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
  • Pedretti, Ana Soledad; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
  • Elizondo, Cristina María; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
  • Grande Ratti, María Florencia; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
  • González Bernaldo de Quiros, Fernán; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
  • Waisman, Gabriel Darío; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
  • Peroni, Hector José; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
  • Martínez, Bernardo; Hospital Italiano de Buenos Aires. Servicio de Clínica Médica. Sección Neumonología. AR
Rev. méd. Chile ; 145(5): 557-563, mayo 2017. ilus, graf
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-902512
Biblioteca responsável: BR1.1
ABSTRACT

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 1000 and 2400 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.

Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: LILACS Idioma: Espanhol Revista: Rev. méd. Chile Assunto da revista: Medicina Ano de publicação: 2017 Tipo de documento: Artigo País de afiliação: Argentina Instituição/País de afiliação: Hospital Italiano de Buenos Aires/AR

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: LILACS Idioma: Espanhol Revista: Rev. méd. Chile Assunto da revista: Medicina Ano de publicação: 2017 Tipo de documento: Artigo País de afiliação: Argentina Instituição/País de afiliação: Hospital Italiano de Buenos Aires/AR
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