Comando interinstitucional México: toma de decisiones organizacionales ante COVID-19.

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Title: Comando interinstitucional México: toma de decisiones organizacionales ante COVID-19.
Alternate Title: Interinstitutional Command Mexico: organizational decision-making in the face of COVID-19.
Authors: Claudia Espinel-Bermúdez, María1, Darío Martínez-Ezquerro, José2, Moreno-Tamayo, Karla Margarita2, Duque-Molina, Célida3, Patiño-Rubio, Héctor3, García-Rodríguez, Gabriel4, de la Torre-Rosas, Alethse5, Herrera-Canales, Michelle6, Jackeline Loera-Rosales, Miriam7, Luisa Pérez-Cardoso, Ana8, Arturo Zaragoza-Jiménez, Christian4, Villa-Reyes, Tania4, Sánchez-García, Sergio2 sergio.sanchezga@imss.gob.mx
Source: Revista Medica del IMSS. 2022 Supplement, Vol. 60, pS65-S76. 12p.
Abstract (English): Background: The third wave of COVID-19 in Mexico produced a high demand for hospital care, which is why it was created a multidisciplinary group to optimize decision-making: the Interinstitutional Command for the Health Sector (COISS, according to its initials in Spanish). So far, there is no scientific evidence of the COISS processes or their effect on the behavior of epidemiological indicators and the hospital care needs of the population in the context of COVID-19 in the entities involved. Objectives: To analyze the trend on epidemic risk indicators throughout the COISS group's management in the third wave of COVID-19 in Mexico. Material and methods: Mixed study: 1) non-systematic review of information from technical documents issued by COISS, 2) secondary analysis of open-access institutional databases through the description of healthcare needs of cases notified with COVID-19 symptoms, and an ecological analysis by each Mexican state on the behavior of hospital occupancy, RT-PCR positivity, and COVID-19 mortality in two-time points. Results: The COISS activity in identifying states with epidemic risk generated actions aimed at a reduction in hospital occupancy of beds, positivity by RT-PCR, and mortality from COVID-19. Conclusions: The decisions of the COISS group reduced the indicators of epidemic risk. Continuing the work of the COISS group is an urgent need. [ABSTRACT FROM AUTHOR]
Abstract (Spanish): Introducción: la tercera ola por COVID-19 en México provocó una alta demanda de atención hospitalaria, por lo cual se conformó un grupo multidisciplinario para optimizar la toma de decisiones sanitarias: Comando Interinstitucional del Sector Salud (COISS). Hasta el momento, no hay evidencia científica de los procesos del COISS ni de su efecto sobre el comportamiento de indicadores epidemiológicos y las necesidades de atención hospitalaria de la población bajo el contexto de COVID-19 en entidades federativas involucradas. Objetivos: analizar la tendencia de indicadores de riesgo epidémico durante la gestión del grupo COISS en la tercera ola por COVID-19 en México. Material y métodos: estudio mixto: 1) revisión no sistemática de documentos técnicos del COISS, 2) análisis secundario de bases de datos de libre acceso, mediante la descripción de necesidades de atención hospitalaria de los casos notificados con síntomas de la COVID-19 y un análisis ecológico por entidades federativas sobre el comportamiento de la ocupación hospitalaria, positividad y mortalidad por COVID-19 en dos cortes temporales. Resultados: la actividad del COISS en la identificación de entidades federativas de riesgo epidémico generó acciones encaminadas a una reducción en la ocupación hospitalaria de camas generales, positividad por RT-PCR y mortalidad por COVID-19. Conclusiones: las decisiones del grupo COISS disminuyeron los indicadores de riesgo epidémico. Continuar el trabajo del grupo COISS es una necesidad apremiante. [ABSTRACT FROM AUTHOR]
Copyright of Revista Medica del IMSS is the property of Direccion de Prestaciones Medicas - IMSS and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Comando interinstitucional México: toma de decisiones organizacionales ante COVID-19.
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  Data: Interinstitutional Command Mexico: organizational decision-making in the face of COVID-19.
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  Data: <searchLink fieldCode="AR" term="%22Claudia+Espinel-Bermúdez%2C+María%22">Claudia Espinel-Bermúdez, María</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Darío+Martínez-Ezquerro%2C+José%22">Darío Martínez-Ezquerro, José</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Moreno-Tamayo%2C+Karla+Margarita%22">Moreno-Tamayo, Karla Margarita</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Duque-Molina%2C+Célida%22">Duque-Molina, Célida</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Patiño-Rubio%2C+Héctor%22">Patiño-Rubio, Héctor</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22García-Rodríguez%2C+Gabriel%22">García-Rodríguez, Gabriel</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22de+la+Torre-Rosas%2C+Alethse%22">de la Torre-Rosas, Alethse</searchLink><relatesTo>5</relatesTo><br /><searchLink fieldCode="AR" term="%22Herrera-Canales%2C+Michelle%22">Herrera-Canales, Michelle</searchLink><relatesTo>6</relatesTo><br /><searchLink fieldCode="AR" term="%22Jackeline+Loera-Rosales%2C+Miriam%22">Jackeline Loera-Rosales, Miriam</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Luisa+Pérez-Cardoso%2C+Ana%22">Luisa Pérez-Cardoso, Ana</searchLink><relatesTo>8</relatesTo><br /><searchLink fieldCode="AR" term="%22Arturo+Zaragoza-Jiménez%2C+Christian%22">Arturo Zaragoza-Jiménez, Christian</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Villa-Reyes%2C+Tania%22">Villa-Reyes, Tania</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Sánchez-García%2C+Sergio%22">Sánchez-García, Sergio</searchLink><relatesTo>2</relatesTo><i> sergio.sanchezga@imss.gob.mx</i>
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  Data: <searchLink fieldCode="JN" term="%22Revista+Medica+del+IMSS%22">Revista Medica del IMSS</searchLink>. 2022 Supplement, Vol. 60, pS65-S76. 12p.
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: Background: The third wave of COVID-19 in Mexico produced a high demand for hospital care, which is why it was created a multidisciplinary group to optimize decision-making: the Interinstitutional Command for the Health Sector (COISS, according to its initials in Spanish). So far, there is no scientific evidence of the COISS processes or their effect on the behavior of epidemiological indicators and the hospital care needs of the population in the context of COVID-19 in the entities involved. Objectives: To analyze the trend on epidemic risk indicators throughout the COISS group's management in the third wave of COVID-19 in Mexico. Material and methods: Mixed study: 1) non-systematic review of information from technical documents issued by COISS, 2) secondary analysis of open-access institutional databases through the description of healthcare needs of cases notified with COVID-19 symptoms, and an ecological analysis by each Mexican state on the behavior of hospital occupancy, RT-PCR positivity, and COVID-19 mortality in two-time points. Results: The COISS activity in identifying states with epidemic risk generated actions aimed at a reduction in hospital occupancy of beds, positivity by RT-PCR, and mortality from COVID-19. Conclusions: The decisions of the COISS group reduced the indicators of epidemic risk. Continuing the work of the COISS group is an urgent need. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Spanish)
  Group: Ab
  Data: Introducción: la tercera ola por COVID-19 en México provocó una alta demanda de atención hospitalaria, por lo cual se conformó un grupo multidisciplinario para optimizar la toma de decisiones sanitarias: Comando Interinstitucional del Sector Salud (COISS). Hasta el momento, no hay evidencia científica de los procesos del COISS ni de su efecto sobre el comportamiento de indicadores epidemiológicos y las necesidades de atención hospitalaria de la población bajo el contexto de COVID-19 en entidades federativas involucradas. Objetivos: analizar la tendencia de indicadores de riesgo epidémico durante la gestión del grupo COISS en la tercera ola por COVID-19 en México. Material y métodos: estudio mixto: 1) revisión no sistemática de documentos técnicos del COISS, 2) análisis secundario de bases de datos de libre acceso, mediante la descripción de necesidades de atención hospitalaria de los casos notificados con síntomas de la COVID-19 y un análisis ecológico por entidades federativas sobre el comportamiento de la ocupación hospitalaria, positividad y mortalidad por COVID-19 en dos cortes temporales. Resultados: la actividad del COISS en la identificación de entidades federativas de riesgo epidémico generó acciones encaminadas a una reducción en la ocupación hospitalaria de camas generales, positividad por RT-PCR y mortalidad por COVID-19. Conclusiones: las decisiones del grupo COISS disminuyeron los indicadores de riesgo epidémico. Continuar el trabajo del grupo COISS es una necesidad apremiante. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Revista Medica del IMSS is the property of Direccion de Prestaciones Medicas - IMSS and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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