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Assessment of Covid-19 Infection Rates in Healthcare Workers Using a Desynchronization Strategy

Insel Gruppe AG, University Hospital Bern · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
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covid-19sars-cov-2
Desynchronization of infection rates in healthcare workers will potentially reduce the early infection rates and therefore maintain workforce for late time points of the epidemic. Given the current threat of the COVID-19 epidemic, the department for Visceral Surgery and Medicine, Bern University Hospital, has decided to limit its elective interventions to oncological and life-saving procedures only. At the same time, the medical team were split in two teams, each working for 7 days, followed by 7 days off, called a desynchronization strategy. Contacts between the two teams are avoided. The main aim of present study is to determine, if the infection rate between the two populations (at work versus at home) is different. Secondary aims are to determine if the workforce can be maintained for longer periods compared standard of care, and if the infection rate among patients hospitalized for other reasons varies compared to the community.
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