Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes

Older adults living in nursing homes are the most vulnerable group of the COVID-19 pandemic. There are many difficulties in isolating residents and limiting the spread in this setting. We have developed a simple algorithm with a traffic light format for resident classification and sectorization with...

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Detalles Bibliográficos
Autores principales: González de Villaumbrosia, Cristina, Martínez Peromingo, Javier, Ortiz Imedio, Juan, Álvarez de Espejo Montiel, Teresa, García-Puente Suárez, Laura, Navas Clemente, Iván, Morales Cubo, Sandra, Cotano Abad, Laura Elena, Suárez Sánchez, Yanira, Torras Cortada, Sonia, Oñoro Algar, Carlos, Palicio Martínez, Carolina, Plaza Nohales, Carmen, Barba Martín, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AMDA - The Society for Post-Acute and Long-Term Care Medicine. 2020
Materias:
Pragmatic Innovations in Post-Acute and Long-Term Care Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7580675/
https://www.ncbi.nlm.nih.gov/pubmed/33256960
http://dx.doi.org/10.1016/j.jamda.2020.10.023
Descripción
Sumario:Older adults living in nursing homes are the most vulnerable group of the COVID-19 pandemic. There are many difficulties in isolating residents and limiting the spread in this setting. We have developed a simple algorithm with a traffic light format for resident classification and sectorization within nursing homes, based on basic diagnostic tests, surveillance of symptoms onset, and close contact monitoring. We have implemented the algorithm in several centers with good data on adherence. Suggestions for implementation and evaluation are discussed.

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