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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.
  • Khoshakhlagh AH; Department of Occupational Health, School of Health, Kashan University of Medical Sciences, Kashan, Iran.
  • Yazdanirad S; Social Determinants of Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.
  • Saberi HR; School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
  • Motalebi Kashani M; Occupational Health & Safety Department, Kashan University of Medical Sciences, Kashan, Iran.
  • Ghanaei Khaledabadi F; Social Determinants of Health Research Center, Kashan University of Medical Sciences, Kashan, Iran.
  • Mohammadi-Moghadam F; Occupational Health & Safety Department, Kashan University of Medical Sciences, Kashan, Iran.
  • Gul M; Department of Environmental Health Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
PLoS One ; 18(5): e0286298, 2023.
Artigo em Inglês | MEDLINE | ID: covidwho-20237870
ABSTRACT
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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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Estudo experimental / Estudo observacional / Estudo prognóstico / Ensaios controlados aleatorizados Limite: Humanos Idioma: Inglês Revista: PLoS One Assunto da revista: Ciência / Medicina Ano de publicação: 2023 Tipo de documento: Artigo País de afiliação: Journal.pone.0286298

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Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Estudo experimental / Estudo observacional / Estudo prognóstico / Ensaios controlados aleatorizados Limite: Humanos Idioma: Inglês Revista: PLoS One Assunto da revista: Ciência / Medicina Ano de publicação: 2023 Tipo de documento: Artigo País de afiliação: Journal.pone.0286298