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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....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8364401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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