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

GONZALEZ DE VILLAUMBROSIA, CRISTINA; MARTINEZ PEROMINGO, JAVIER; ORTIZ IMEDIO, JUAN; ALVAREZ DE ESPEJO, TERESA; GARCIA-PUENTE SUAREZ, LAURA; NAVAS CLEMENTE, IVAN; MORALES CUBO, SANDRA; COTANO, LAURA ELENA; SUAREZ SANCHEZ, YANIRA; TORRES, SONIA; OÑORO ALGAR, CARLOS; PALICIO MARTINEZ, CAROLINA; PLAZA NOGALES, CARMEN; BARBA MARTIN, RAQUEL
URI: https://hdl.handle.net/10115/39183
DOI: 10.1016/j.jamda.2020.10.023
Date: 2020-12

Abstract

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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