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Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020

Background: The COVID-19 pandemic has promoted a shortage of filtering facepiece respirators (FFRs) and the emergence of new FFRs brands. We aimed to determine the fit provided by in-use FFRs in Peruvian healthcare workers (HCWs) during the COVID-19 pandemic. Methods: We enrolled 279 HCWs from 37 pr...

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Autores principales: Inolopú, Jorge, Mayma, Kevin, Curisinche-Rojas, Maricela, Aylas, Rula, Flores, Juan A., Rosales-Rimache, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454389/
https://www.ncbi.nlm.nih.gov/pubmed/37623201
http://dx.doi.org/10.3390/ijerph20166618
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author Inolopú, Jorge
Mayma, Kevin
Curisinche-Rojas, Maricela
Aylas, Rula
Flores, Juan A.
Rosales-Rimache, Jaime
author_facet Inolopú, Jorge
Mayma, Kevin
Curisinche-Rojas, Maricela
Aylas, Rula
Flores, Juan A.
Rosales-Rimache, Jaime
author_sort Inolopú, Jorge
collection PubMed
description Background: The COVID-19 pandemic has promoted a shortage of filtering facepiece respirators (FFRs) and the emergence of new FFRs brands. We aimed to determine the fit provided by in-use FFRs in Peruvian healthcare workers (HCWs) during the COVID-19 pandemic. Methods: We enrolled 279 HCWs from 37 primary healthcare centers with highest burden of care for TB in Peru, of which 263 were assessed using quantitative fit tests (QNFT). Results were expressed as real-time fit factor (rt-FF) and overall fit factor (overall-FF), which was categorized as ≥100 (optimal result), 50–99, and <50. Results: We identified 3M 1860 FFRs (33.1%), Xiantao Zhong Yi ZYB-11 FFRs (24.6%) and Makrite 9500 FFRs (20.5%), mainly. Eighty-seven FFRs (33.1%) had an optimal overall-FF, 27 (10.3%) between 50–99, and 149 (56.6%) less than 50. Of the 87 FFRs with optimal overall-FF, 73 (83.9%) were 3M 1860 FFRs. Of the 27 FFRs with overall-FF between 50–99, 7 (25.9%) were Makrite 9500, while of the 149 with overall-FF less than 50, 58 (38.9%), and 47 (31.5%) were Xiantao Zhong Yi ZYB-11 and Makrite 9500, respectively. Conclusion: Xiantao Zhong Yi and Makrite FFRs do not adapt adequately to the face of Peruvian HCWs, most having fit factors less than 50.
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spelling pubmed-104543892023-08-26 Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020 Inolopú, Jorge Mayma, Kevin Curisinche-Rojas, Maricela Aylas, Rula Flores, Juan A. Rosales-Rimache, Jaime Int J Environ Res Public Health Article Background: The COVID-19 pandemic has promoted a shortage of filtering facepiece respirators (FFRs) and the emergence of new FFRs brands. We aimed to determine the fit provided by in-use FFRs in Peruvian healthcare workers (HCWs) during the COVID-19 pandemic. Methods: We enrolled 279 HCWs from 37 primary healthcare centers with highest burden of care for TB in Peru, of which 263 were assessed using quantitative fit tests (QNFT). Results were expressed as real-time fit factor (rt-FF) and overall fit factor (overall-FF), which was categorized as ≥100 (optimal result), 50–99, and <50. Results: We identified 3M 1860 FFRs (33.1%), Xiantao Zhong Yi ZYB-11 FFRs (24.6%) and Makrite 9500 FFRs (20.5%), mainly. Eighty-seven FFRs (33.1%) had an optimal overall-FF, 27 (10.3%) between 50–99, and 149 (56.6%) less than 50. Of the 87 FFRs with optimal overall-FF, 73 (83.9%) were 3M 1860 FFRs. Of the 27 FFRs with overall-FF between 50–99, 7 (25.9%) were Makrite 9500, while of the 149 with overall-FF less than 50, 58 (38.9%), and 47 (31.5%) were Xiantao Zhong Yi ZYB-11 and Makrite 9500, respectively. Conclusion: Xiantao Zhong Yi and Makrite FFRs do not adapt adequately to the face of Peruvian HCWs, most having fit factors less than 50. MDPI 2023-08-21 /pmc/articles/PMC10454389/ /pubmed/37623201 http://dx.doi.org/10.3390/ijerph20166618 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Inolopú, Jorge
Mayma, Kevin
Curisinche-Rojas, Maricela
Aylas, Rula
Flores, Juan A.
Rosales-Rimache, Jaime
Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020
title Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020
title_full Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020
title_fullStr Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020
title_full_unstemmed Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020
title_short Quantitative Fit Testing on Filtering Facepiece Respirators in Use by Peruvian Healthcare Workers Caring for Tuberculosis Patients during the COVID-19 Pandemic: PROFIT Study 2020
title_sort quantitative fit testing on filtering facepiece respirators in use by peruvian healthcare workers caring for tuberculosis patients during the covid-19 pandemic: profit study 2020
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10454389/
https://www.ncbi.nlm.nih.gov/pubmed/37623201
http://dx.doi.org/10.3390/ijerph20166618
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