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Evidence-based aerosol clearance times in a healthcare environment

BACKGROUND: As researchers race to understand the nature of COVID-19 transmission, healthcare institutions must treat COVID-19 patients while also safeguarding the health of staff and other patients. One aspect of this process involves mitigating aerosol transmission of the SARS-CoV2 virus. The U.S....

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Autores principales: Hara, Seth A., Rossman, Timothy L., Johnson, Lukas, Hogan, Christopher J., Sanchez, William, Martin, David P., Wehde, Mark B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364401/
https://www.ncbi.nlm.nih.gov/pubmed/34414369
http://dx.doi.org/10.1016/j.infpip.2021.100170
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author Hara, Seth A.
Rossman, Timothy L.
Johnson, Lukas
Hogan, Christopher J.
Sanchez, William
Martin, David P.
Wehde, Mark B.
author_facet Hara, Seth A.
Rossman, Timothy L.
Johnson, Lukas
Hogan, Christopher J.
Sanchez, William
Martin, David P.
Wehde, Mark B.
author_sort Hara, Seth A.
collection PubMed
description BACKGROUND: As researchers race to understand the nature of COVID-19 transmission, healthcare institutions must treat COVID-19 patients while also safeguarding the health of staff and other patients. One aspect of this process involves mitigating aerosol transmission of the SARS-CoV2 virus. The U.S. Centers for Disease Control and Prevention (CDC) provides general guidance on airborne contaminant removal, but directly measuring aerosol clearance in clinical rooms provides empirical evidence to guide clinical procedure. AIM: We present a risk-assessment approach to empirically measuring and certifying the aerosol clearance time (ACT) in operating and procedure rooms to improve hospital efficiency while also mitigating the risk of nosocomial infection. METHODS: Rooms were clustered based on physical and procedural parameters. Sample rooms from each cluster were randomly selected and tested by challenging the room with aerosol and monitoring aerosolized particle concentration until 99.9% clearance was achieved. Data quality was analysed and aerosol clearance times for each cluster were determined. FINDINGS: Of the 521 operating and procedure rooms considered, 449 (86%) were issued a decrease in clearance time relative to CDC guidance, 32 (6%) had their clearance times increased, and 40 (8%) remained at guidance. The average clearance time change of all rooms assessed was a net reduction of 27.8%. CONCLUSION: The process described here balances the need for high-quality, repeatable data with the burden of testing in a functioning clinical setting. Implementation of this approach resulted in a reduction in clearance times for most clinical rooms, thereby improving hospital efficiency while also safeguarding patients and staff.
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spelling pubmed-83644012021-08-15 Evidence-based aerosol clearance times in a healthcare environment Hara, Seth A. Rossman, Timothy L. Johnson, Lukas Hogan, Christopher J. Sanchez, William Martin, David P. Wehde, Mark B. Infect Prev Pract Original Research Article BACKGROUND: As researchers race to understand the nature of COVID-19 transmission, healthcare institutions must treat COVID-19 patients while also safeguarding the health of staff and other patients. One aspect of this process involves mitigating aerosol transmission of the SARS-CoV2 virus. The U.S. Centers for Disease Control and Prevention (CDC) provides general guidance on airborne contaminant removal, but directly measuring aerosol clearance in clinical rooms provides empirical evidence to guide clinical procedure. AIM: We present a risk-assessment approach to empirically measuring and certifying the aerosol clearance time (ACT) in operating and procedure rooms to improve hospital efficiency while also mitigating the risk of nosocomial infection. METHODS: Rooms were clustered based on physical and procedural parameters. Sample rooms from each cluster were randomly selected and tested by challenging the room with aerosol and monitoring aerosolized particle concentration until 99.9% clearance was achieved. Data quality was analysed and aerosol clearance times for each cluster were determined. FINDINGS: Of the 521 operating and procedure rooms considered, 449 (86%) were issued a decrease in clearance time relative to CDC guidance, 32 (6%) had their clearance times increased, and 40 (8%) remained at guidance. The average clearance time change of all rooms assessed was a net reduction of 27.8%. CONCLUSION: The process described here balances the need for high-quality, repeatable data with the burden of testing in a functioning clinical setting. Implementation of this approach resulted in a reduction in clearance times for most clinical rooms, thereby improving hospital efficiency while also safeguarding patients and staff. Elsevier 2021-08-14 /pmc/articles/PMC8364401/ /pubmed/34414369 http://dx.doi.org/10.1016/j.infpip.2021.100170 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Hara, Seth A.
Rossman, Timothy L.
Johnson, Lukas
Hogan, Christopher J.
Sanchez, William
Martin, David P.
Wehde, Mark B.
Evidence-based aerosol clearance times in a healthcare environment
title Evidence-based aerosol clearance times in a healthcare environment
title_full Evidence-based aerosol clearance times in a healthcare environment
title_fullStr Evidence-based aerosol clearance times in a healthcare environment
title_full_unstemmed Evidence-based aerosol clearance times in a healthcare environment
title_short Evidence-based aerosol clearance times in a healthcare environment
title_sort evidence-based aerosol clearance times in a healthcare environment
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8364401/
https://www.ncbi.nlm.nih.gov/pubmed/34414369
http://dx.doi.org/10.1016/j.infpip.2021.100170
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