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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AMDA - The Society for Post-Acute and Long-Term Care Medicine.
2020
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Materias: | |
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 |
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author | 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 |
author_facet | 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 |
author_sort | González de Villaumbrosia, Cristina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7580675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AMDA - The Society for Post-Acute and Long-Term Care Medicine. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75806752020-10-23 Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes 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 J Am Med Dir Assoc Pragmatic Innovations in Post-Acute and Long-Term Care Medicine 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. AMDA - The Society for Post-Acute and Long-Term Care Medicine. 2020-12 2020-10-22 /pmc/articles/PMC7580675/ /pubmed/33256960 http://dx.doi.org/10.1016/j.jamda.2020.10.023 Text en © 2020 AMDA - The Society for Post-Acute and Long-Term Care Medicine. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Pragmatic Innovations in Post-Acute and Long-Term Care Medicine 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 Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes |
title | Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes |
title_full | Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes |
title_fullStr | Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes |
title_full_unstemmed | Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes |
title_short | Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes |
title_sort | implementation of an algorithm of cohort classification to prevent the spread of covid-19 in nursing homes |
topic | Pragmatic Innovations in Post-Acute and Long-Term Care Medicine |
url | 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 |
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