计算机化准备状态评估(Focos/Prontos 系统)及其对工人疲劳和生产率的多因素筛查:病例对照和横断面研究

Marcela Souza Lima Paulo, Hebert Wilson Santos Cabral, Jade Kill, Wallysson Francis Soares, Me, Elisa Smith Barbiero Medeiros, Thais Costa Jesus, Alexandre Lemos
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引用次数: 0

摘要

我们在此简要回顾了已发表的有关疲劳的文章,强调了疲劳的多因素性质和客观标记的缺乏,这使得很难就测量方法达成共识,并介绍了工作准备状态计算机化评估(FOCOS/Prontos 系统),旨在使用 Chalder 工具评估计算机化评估性能与疲劳迹象之间的相关性。研究对巴西一家矿业公司的 552 名员工使用了 Chalder 疲劳量表,最终样本由 334 人组成,分为有疲劳迹象的 "临床组"(G1)和无疲劳迹象的 "对照组"(G0)。研究旨在使用曼-惠特尼 U 检验和韦尔奇 t 检验等统计检验方法分析临床组和对照组的准备状况,显著性以 p 值小于 0.05 为标准。结果表明,自我报告疲劳前后在日常准备状态、认知影响和危险行为方面存在明显差异。Prontos 系统对疲劳相关风险和事故预防措施具有预测价值,突出了其在提高工作场所安全和生产率方面的作用。这项研究强调了使用 FOCOS/Prontos 系统进行日常和持续疲劳评估以跟踪疲劳迹象和生产率的重要性。该系统的多维方法提高了疲劳预测和分类的准确性。整合各种工具可加强疲劳管理,根据对与疲劳相关的准备参数和行为的时间分析进行主动干预。该研究强调了疲劳的复杂性及其与事故的相关性,主张将持续监测作为一种预防和性能优化策略,从而促进更安全、更健康的工作环境。
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Computerized Assessment of Readiness (Focos/Prontos System) and Its Multifactor Screening for Worker’s Fatigue and Productivity: A Case-Control and Cross-sectional Study
We present here a brief review of what has been published about fatigue, highlighting its multifactorial nature and the lack of objective markers that make it difficult to establish a consensus on measurement methods and present the Computerized Evaluation of Work Readiness (FOCOS/Prontos System), aiming to assess the correlation between the computerized assessment performance and signs of fatigue, using the Chalder instrument. The study applied the Chalder Fatigue Scale to 552 employees of a Brazilian mining company, with a final sample consisting of 334 individuals divided into a 'clinical group' (G1) with signs of fatigue and a 'control group' (G0) without fatigue. The study aimed to analyze readiness profiles between the clinical and control groups using statistical tests like the Mann-Whitney U-test and Welch's t-test, with significance set at p-value <0.05. Results showed significant differences in daily readiness, cognitive impacts, and risky behaviors before and after self-reporting fatigue. The Prontos System demonstrated predictive value for fatigue-related risks and accident prevention measures, highlighting its role in enhancing workplace safety and productivity. The study highlights the importance of daily and continuous fatigue assessment using the FOCOS/Prontos System to track signs of fatigue, as well as productivity. The system's multidimensional approach enriches fatigue prediction and classification accuracy. Integrating instruments enhances fatigue management, allowing for proactive intervention based on temporal analysis of readiness parameters and behaviors associated with fatigue. The study emphasizes the complexity of fatigue and its correlation with accidents, advocating for ongoing monitoring as a preventive and performance optimization strategy, thus promoting a safer and healthier work environment.
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