Author: González de Villaumbrosia, Cristina; MartÃnez Peromingo, Javier; Ortiz Imedio, Juan; Ãlvarez de Espejo Montiel, Teresa; GarcÃa-Puente Suárez, Laura; Navas Clemente, Iván; Morales Cubo, Sandra; Cotano Abad, Laura Elena; Suárez Sánchez, Yanira; Torras Cortada, Sonia; Oñoro Algar, Carlos; Palicio MartÃnez, Carolina; Plaza Nohales, Carmen; Barba MartÃn, Raquel
Title: Implementation of an algorithm of cohort classification to prevent the spread of COVID-19 in nursing homes. Cord-id: 7izl7d1i Document date: 2020_10_22
ID: 7izl7d1i
Snippet: 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 shape 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. Suggest
Document: 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 shape 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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