Fernandes Ana, Figueiredo Margarida, Ribeiro Jorge, Neves José, Vicente Henrique
Departamento de Química, Escola de Ciências e Tecnologia, Universidade de Évora, Évora, Portugal.
Centro de Investigação em Educação e Psicologia, Universidade de Évora, Évora, Portugal.
Saf Health Work. 2020 Dec;11(4):431-442. doi: 10.1016/j.shaw.2020.07.003. Epub 2020 Jul 26.
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.
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.
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.
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.
社会心理风险越来越成为各类组织除化学、物理和生物风险之外所分析的一种风险类型。随着ISO 9001:2015的更新,尤其是对过程运行环境的要求7.1.4,人们对这类风险给予了更多关注。这一规范性参考文件的更新旨在使2015年更新的OHSAS 18001:2007参考文件与2018年发布的ISO 45001接轨。因此,各组织越来越致力于实现并展示良好的职业健康与安全绩效。
本研究的目的是描述一家冷冻保存实验室中的社会心理风险,并开发一个社会心理风险管理预测模型。收集信息所采用的方法是通过问卷调查,该问卷应用于一个由200名员工组成的样本。
结果表明,大多数受访者意识到社会心理风险,将人际关系和情感感受确定为导致这类风险的主要因素。此外,诸如资源匮乏、工作时间安排、实验室设备、压力和不稳定等因素与社会心理风险显示出很强的相关性。本研究中基于人工神经网络提出的模型在社会心理风险预测方面表现良好。
本研究成果展示了一个智能系统的开发,该系统能够识别组织的薄弱环节,并有助于加强社会心理风险管理。