Evidence map›Paper›PMID 37253045›Full record

ArticlePloS one2023

Development and validation of a biological risk assessment tool among hospital personnel under COVID-19 pandemic conditions.

Amir Hossein Khoshakhlagh, Saeid Yazdanirad, Hamid Reza Saberi, Masoud Motalebi Kashani, Fatemeh Ghanaei Khaledabadi, Fazel Mohammadi-Moghadam, Muhammet Gul

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Amir Hossein KhoshakhlaghDepartment of Occupational Health, School of Health, Kashan University of Medical Sciences, Kashan, Iran.
Saeid YazdaniradSocial Determinants of Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.ORCID 0000-0002-5251-6637
Hamid Reza SaberiOccupational Health & Safety Department, Kashan University of Medical Sciences, Kashan, Iran.
Masoud Motalebi KashaniSocial Determinants of Health Research Center, Kashan University of Medical Sciences, Kashan, Iran.
Fatemeh Ghanaei KhaledabadiOccupational Health & Safety Department, Kashan University of Medical Sciences, Kashan, Iran.
Fazel Mohammadi-MoghadamDepartment of Environmental Health Engineering, School of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran.
Muhammet GulDept. of Transportation and Logistics, Istanbul University, Avcılar/Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Biological FactorsCross-Sectional StudiesHumansPandemicsPersonnel, HospitalRisk AssessmentBiological Factors

Identifiers

PMID37253045
PMCPMC10228796

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.