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...

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Main Authors: Amir Hossein Khoshakhlagh, Saeid Yazdanirad, Hamid Reza Saberi, Masoud Motalebi Kashani, Fatemeh Ghanaei Khaledabadi, Fazel Mohammadi-Moghadam, Muhammet Gul
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0286298
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author Amir Hossein Khoshakhlagh
Saeid Yazdanirad
Hamid Reza Saberi
Masoud Motalebi Kashani
Fatemeh Ghanaei Khaledabadi
Fazel Mohammadi-Moghadam
Muhammet Gul
author_facet Amir Hossein Khoshakhlagh
Saeid Yazdanirad
Hamid Reza Saberi
Masoud Motalebi Kashani
Fatemeh Ghanaei Khaledabadi
Fazel Mohammadi-Moghadam
Muhammet Gul
author_sort Amir Hossein Khoshakhlagh
collection DOAJ
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.
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spelling doaj.art-205dc9bd08f6405ca6bae5b25e2c92222023-06-20T05:31:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01185e028629810.1371/journal.pone.0286298Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions.Amir Hossein KhoshakhlaghSaeid YazdaniradHamid Reza SaberiMasoud Motalebi KashaniFatemeh Ghanaei KhaledabadiFazel Mohammadi-MoghadamMuhammet GulThe 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.https://doi.org/10.1371/journal.pone.0286298
spellingShingle Amir Hossein Khoshakhlagh
Saeid Yazdanirad
Hamid Reza Saberi
Masoud Motalebi Kashani
Fatemeh Ghanaei Khaledabadi
Fazel Mohammadi-Moghadam
Muhammet Gul
Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions.
PLoS ONE
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
url https://doi.org/10.1371/journal.pone.0286298
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