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Psychosocial Risks Assessment in Cryopreservation Laboratories

BACKGROUND: Psychosocial risks are increasingly a type of risk analyzed in organizations beyond chemical, physical, and biological risks. To this type of risk, a greater attention has been given following the update of ISO 9001: 2015, more precisely the requirement 7.1.4 for the process operation en...

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Autores principales: Fernandes, Ana, Figueiredo, Margarida, Ribeiro, Jorge, Neves, José, Vicente, Henrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Occupational Safety and Health Research Institute 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728826/
https://www.ncbi.nlm.nih.gov/pubmed/33329909
http://dx.doi.org/10.1016/j.shaw.2020.07.003
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author Fernandes, Ana
Figueiredo, Margarida
Ribeiro, Jorge
Neves, José
Vicente, Henrique
author_facet Fernandes, Ana
Figueiredo, Margarida
Ribeiro, Jorge
Neves, José
Vicente, Henrique
author_sort Fernandes, Ana
collection PubMed
description BACKGROUND: Psychosocial risks are increasingly a type of risk analyzed in organizations beyond chemical, physical, and biological risks. To this type of risk, a greater attention has been given following the update of ISO 9001: 2015, more precisely the requirement 7.1.4 for the process operation environment. The update of this normative reference was intended to approximate OHSAS 18001: 2007 reference updated in 2018 with the publication of ISO 45001. Thus, the organizations are increasingly committed to achieving and demonstrating good occupational health and safety performance. METHODS: The aim of this study was to characterize the psychosocial risks in a cryopreservation laboratory and to develop a predictive model for psychosocial risk management. The methodology followed to collect the information was the inquiry by questionnaire that was applied to a sample comprising 200 employees. RESULTS: The results show that most of the respondents are aware of the psychosocial risks, identifying interpersonal relationships and emotional feelings as the main factors that lead to this type of risks. Furthermore, terms such as lack of resources, working hours, lab equipment, stress, and precariousness show strong correlation with psychosocial risks. The model presented in this study, based on artificial neural networks, exhibited good performance in the prediction of the psychosocial risks. CONCLUSION: This work presents the development of an intelligent system that allows identifying the weaknesses of the organization and contributing to the enhancement of the psychosocial risks management.
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spelling pubmed-77288262020-12-15 Psychosocial Risks Assessment in Cryopreservation Laboratories Fernandes, Ana Figueiredo, Margarida Ribeiro, Jorge Neves, José Vicente, Henrique Saf Health Work Original Article BACKGROUND: Psychosocial risks are increasingly a type of risk analyzed in organizations beyond chemical, physical, and biological risks. To this type of risk, a greater attention has been given following the update of ISO 9001: 2015, more precisely the requirement 7.1.4 for the process operation environment. The update of this normative reference was intended to approximate OHSAS 18001: 2007 reference updated in 2018 with the publication of ISO 45001. Thus, the organizations are increasingly committed to achieving and demonstrating good occupational health and safety performance. METHODS: The aim of this study was to characterize the psychosocial risks in a cryopreservation laboratory and to develop a predictive model for psychosocial risk management. The methodology followed to collect the information was the inquiry by questionnaire that was applied to a sample comprising 200 employees. RESULTS: The results show that most of the respondents are aware of the psychosocial risks, identifying interpersonal relationships and emotional feelings as the main factors that lead to this type of risks. Furthermore, terms such as lack of resources, working hours, lab equipment, stress, and precariousness show strong correlation with psychosocial risks. The model presented in this study, based on artificial neural networks, exhibited good performance in the prediction of the psychosocial risks. CONCLUSION: This work presents the development of an intelligent system that allows identifying the weaknesses of the organization and contributing to the enhancement of the psychosocial risks management. Occupational Safety and Health Research Institute 2020-12 2020-07-26 /pmc/articles/PMC7728826/ /pubmed/33329909 http://dx.doi.org/10.1016/j.shaw.2020.07.003 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Fernandes, Ana
Figueiredo, Margarida
Ribeiro, Jorge
Neves, José
Vicente, Henrique
Psychosocial Risks Assessment in Cryopreservation Laboratories
title Psychosocial Risks Assessment in Cryopreservation Laboratories
title_full Psychosocial Risks Assessment in Cryopreservation Laboratories
title_fullStr Psychosocial Risks Assessment in Cryopreservation Laboratories
title_full_unstemmed Psychosocial Risks Assessment in Cryopreservation Laboratories
title_short Psychosocial Risks Assessment in Cryopreservation Laboratories
title_sort psychosocial risks assessment in cryopreservation laboratories
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728826/
https://www.ncbi.nlm.nih.gov/pubmed/33329909
http://dx.doi.org/10.1016/j.shaw.2020.07.003
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