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Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions
The need for a biological disease risk assessment method to prevent the contagion of these diseases, particularly among healthcare personnel, is crucial. Therefore, this study aimed to develop and validate a biological risk assessment tool for biological agents among hospital personnel under COVID-1...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228796/ https://www.ncbi.nlm.nih.gov/pubmed/37253045 http://dx.doi.org/10.1371/journal.pone.0286298 |
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author | Khoshakhlagh, Amir Hossein Yazdanirad, Saeid Saberi, Hamid Reza Motalebi Kashani, Masoud Ghanaei Khaledabadi, Fatemeh Mohammadi-Moghadam, Fazel Gul, Muhammet |
author_facet | Khoshakhlagh, Amir Hossein Yazdanirad, Saeid Saberi, Hamid Reza Motalebi Kashani, Masoud Ghanaei Khaledabadi, Fatemeh Mohammadi-Moghadam, Fazel Gul, Muhammet |
author_sort | Khoshakhlagh, Amir Hossein |
collection | PubMed |
description | The need for a biological disease risk assessment method to prevent the contagion of these diseases, particularly among healthcare personnel, is crucial. Therefore, this study aimed to develop and validate a biological risk assessment tool for biological agents among hospital personnel under COVID-19 conditions. This cross-sectional study was performed on 301 employees in two hospitals. Firstly, we identified the items affecting the contagion of biological agents. Then, we computed the weight of the items using the Fuzzy Analytical Hierarchy Process (FAHP) method. We used the identified items and the estimated weights in the next step to develop a predictive equation. The outcome of this tool was the risk score of biological disease contagion. After that, we used the developed method to evaluate the biological risk of the participants. The ROC curve was also used to reveal accuracy of developed method. In this study, 29 items were identified and categorized into five dimensions, including environmental items, ventilation items, job items, equipment-related items, and organizational items. The weights of these dimensions were estimated at 0.172, 0.196, 0.255, 0.233, and 0.144, respectively. The final weight of items was used to develop a predictive equation. The area under ROC curves (AUC) was also calculated as 0.762 (95% CI: 0.704, 0.820) (p<0.001). The tools developed using these items had acceptable diagnostic accuracy for predicting the risk of biological diseases in health care. Therefore, one can apply it in identifying persons exposed to dangerous conditions. |
format | Online Article Text |
id | pubmed-10228796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102287962023-05-31 Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions Khoshakhlagh, Amir Hossein Yazdanirad, Saeid Saberi, Hamid Reza Motalebi Kashani, Masoud Ghanaei Khaledabadi, Fatemeh Mohammadi-Moghadam, Fazel Gul, Muhammet PLoS One Research Article The need for a biological disease risk assessment method to prevent the contagion of these diseases, particularly among healthcare personnel, is crucial. Therefore, this study aimed to develop and validate a biological risk assessment tool for biological agents among hospital personnel under COVID-19 conditions. This cross-sectional study was performed on 301 employees in two hospitals. Firstly, we identified the items affecting the contagion of biological agents. Then, we computed the weight of the items using the Fuzzy Analytical Hierarchy Process (FAHP) method. We used the identified items and the estimated weights in the next step to develop a predictive equation. The outcome of this tool was the risk score of biological disease contagion. After that, we used the developed method to evaluate the biological risk of the participants. The ROC curve was also used to reveal accuracy of developed method. In this study, 29 items were identified and categorized into five dimensions, including environmental items, ventilation items, job items, equipment-related items, and organizational items. The weights of these dimensions were estimated at 0.172, 0.196, 0.255, 0.233, and 0.144, respectively. The final weight of items was used to develop a predictive equation. The area under ROC curves (AUC) was also calculated as 0.762 (95% CI: 0.704, 0.820) (p<0.001). The tools developed using these items had acceptable diagnostic accuracy for predicting the risk of biological diseases in health care. Therefore, one can apply it in identifying persons exposed to dangerous conditions. Public Library of Science 2023-05-30 /pmc/articles/PMC10228796/ /pubmed/37253045 http://dx.doi.org/10.1371/journal.pone.0286298 Text en © 2023 Khoshakhlagh et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Khoshakhlagh, Amir Hossein Yazdanirad, Saeid Saberi, Hamid Reza Motalebi Kashani, Masoud Ghanaei Khaledabadi, Fatemeh Mohammadi-Moghadam, Fazel Gul, Muhammet Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions |
title | Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions |
title_full | Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions |
title_fullStr | Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions |
title_full_unstemmed | Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions |
title_short | Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions |
title_sort | development and validation of a biological risk assessment tool among hospital personnel under covid-19 pandemic conditions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228796/ https://www.ncbi.nlm.nih.gov/pubmed/37253045 http://dx.doi.org/10.1371/journal.pone.0286298 |
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