Healthcare worker safety program in a coronavirus disease 2019 (COVID-19) alternate care site: The Javits New York Medical Station experience

Autor: Chad N. Thompson, Christopher Mugford, Joel R. Merriman, Mark A. Chen, Joseph D. Hutter, Thomas J. Maruna, Wanza R. Bacon, Richard W. Childs, Rituparna Pati, G. Travis Clifton, Renee M. Pazdan
Rok vydání: 2022
Předmět:
Zdroj: Infection control and hospital epidemiology.
ISSN: 1559-6834
0899-823X
Popis: Objective:In March 2020, New York City became the epicenter of the coronavirus disease 2019 (COVID-19) pandemic in the United States. Because healthcare facilities were overwhelmed with patients, the Jacob K. Javits Convention Center was transformed into the nation’s largest alternate care site: Javits New York Medical Station (hereafter termed Javits). Protecting healthcare workers (HCWs) during a global shortage of personal protective equipment (PPE) in a nontraditional healthcare setting posed unique challenges. We describe components of the HCW safety program implemented at Javits.Setting:Javits, a large convention center transformed into a field hospital, with clinical staff from the US Public Health Service Commissioned Corps and the US Department of Defense.Methods:Key strategies to ensure HCW safety included ensuring 1-way flow of traffic on and off the patient floor, developing a matrix detailing PPE required for each work activity and location, PPE extended use and reuse protocols, personnel training, and monitoring adherence to PPE donning/doffing protocols when entering or exiting the patient floor. Javits staff who reported COVID-19 symptoms were immediately isolated, monitored, and offered a severe acute respiratory coronavirus virus 2 (SARS-CoV-2) reverse-transcriptase polymerase chain reaction (RT-PCR) test.Conclusions:A well-designed and implemented HCW safety plan can minimize the risk of SARS-CoV-2 infection for HCWs. The lessons learned from operating the nation’s largest COVID-19 alternate care site can be adapted to other environments during public health emergencies.
Databáze: OpenAIRE
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