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Impact on Fatality Rates and Years of Life Lost During the COVID-19 Pandemic: The Experience of the Mexican Public Health Incident Management Command.
Duque-Molina, Célida; García-Rodríguez, Gabriel; Zaragoza-Jiménez, Christian Arturo; Torre-Rosas, Alethse de la; Herrera-Canales, Michelle; Loera-Rosales, Miriam Jackeline; Pérez-Cardoso, Ana Luisa; Villa-Reyes, Tania; Romo-Rodríguez, Rubí; Sánchez-Morales, Sofhya Marylett; Contreras-Hernández, Iris; Rivas-Ruiz, Rodolfo; Castro-Escamilla, Octavio; Ferat-Osorio, Eduardo; Berlanga-Taylor, Antonio J; Pelayo, Rosana; Robledo-Aburto, Zoe; Bonifaz, Laura C; Alcocer-Varela, Jorge.
Afiliação
  • Duque-Molina C; Unidad de Atención a la Salud, Órgano Público Descentralizado IMSS-Bienestar, Mexico City, Mexico.
  • García-Rodríguez G; Dirección General de Epidemiología, Secretaría de Salud, Mexico City, Mexico.
  • Zaragoza-Jiménez CA; Dirección General de Información en Salud, Secretaría de Salud, Mexico City, Mexico.
  • Torre-Rosas A; Centro Nacional para la Prevención y Control del VIH y SIDA, Mexico City, Mexico.
  • Herrera-Canales M; Servicios de Salud, Órgano Público Descentralizado IMSS-Bienestar, Mexico City, Mexico.
  • Loera-Rosales MJ; Comisiones de Evidencia y Manejo de Riesgos, Comisón Federal para la Protección contra Riesgos Sanitarios, Mexico City, Mexico.
  • Pérez-Cardoso AL; Unidad de Análisis Económico, Secretaria de Salud, Mexico City, Mexico.
  • Villa-Reyes T; Servicios de Atención en primer nivel, Órgano Público Descentralizado, IMSS-Bienestar, Mexico City, Mexico.
  • Romo-Rodríguez R; Laboratorio de Citómica del Cáncer Infantil, Centro de Investigación Biomédica de Oriente, Delegación Puebla, Instituto Mexicano del Seguro Social, Puebla, Mexico; Consejo Nacional de Humanidades, Ciencias y Tecnologías, Mexico City, Mexico.
  • Sánchez-Morales SM; Division de Investigación Clínica, Coordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Contreras-Hernández I; Division de Investigación Clínica, Coordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Rivas-Ruiz R; Division de Investigación Clínica, Coordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Castro-Escamilla O; Division de Investigación Clínica, Coordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Ferat-Osorio E; Division de Investigación Clínica, Coordinación de Investigación en Salud, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Berlanga-Taylor AJ; Unidad de Educación e Investigación en Salud, Dirección de Prestaciones Médicas, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Pelayo R; Unidad de Educación e Investigación en Salud, Dirección de Prestaciones Médicas, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Robledo-Aburto Z; Direccion General del Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Bonifaz LC; Coordinación de Investigación en Salud, Dirección de Prestaciones Médicas, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
  • Alcocer-Varela J; Dirección de la Secretaria de Salud, Mexico City, Mexico. Electronic address: jorge.alcocer@salud.gob.mx.
Arch Med Res ; 56(1): 103073, 2024 Sep 10.
Article em En | MEDLINE | ID: mdl-39260120
ABSTRACT

BACKGROUND:

The SARS-CoV-2 pandemic challenged health systems worldwide. In Mexico, the Public Health Incident Management Command (COISS) strategy was implemented to improve health care for patients with COVID-19 who required hospitalization.

AIM:

To evaluate the impact of the COISS strategy on case fatality rates (CFR) and years of life lost (YLL) in hospitalized patients with COVID-19. MATERIALS AND

METHODS:

The COISS strategy included eight actions implemented in states with high epidemic risk (COISS states). A secondary analysis of the public database from the Mexican Ministry of Health was performed considering patients with confirmed diagnoses of SARS-CoV-2 infection. The COISS strategy effectiveness was evaluated by its impact on in-hospital CFR and YLL at the beginning (T0) and end (T1) of the third wave, and at the end of the fourth wave (T2) and compared to states without intervention (non-COISS states).

RESULTS:

At T0, COISS states showed a higher CFR for hospitalized patients than non-COISS states, which decreased after the strategy implementation. After correction for baseline conditions, lower relative CFR at T1 and T2, compared to T0, and a protective effect in different age groups, especially in those ≥65 years, were found in hospitalized patients in COISS states. The COISS strategy was associated with lower CFR in hospitalized patients with COVID-19 at both T1 and T2. At T0, YLLs were higher in COISS states, but there were no significant differences at T1 and T2.

CONCLUSIONS:

COISS interventions effectively reduced CFR in hospitalized patients with COVID-19, providing protection to vulnerable patients and reducing the YLL gap.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: Mexico Idioma: En Revista: Arch Med Res Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: México País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: Mexico Idioma: En Revista: Arch Med Res Assunto da revista: MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: México País de publicação: Estados Unidos