Computerized Assessment of Readiness (Focos/Prontos System) and Its Multifactor Screening for Worker’s Fatigue and Productivity: A Case-Control and Cross-sectional Study
Marcela Souza Lima Paulo
School of Health Sciences of Santa Casa de Misericórdia de Vitória, Emescam, Faculty of Medicine, Vitória, Brazil and Science, Technology, and Innovations in Mental Health and Quality of Life Research Group - Emescam, Vitória, Brazil.
Hebert Wilson Santos Cabral
Science, Technology, and Innovations in Mental Health and Quality of Life Research Group - Emescam, Vitória, Brazil and Federal Fluminense University, UFF, Rio de Janeiro, Brazil.
Jade Kill
Federal University of Espírito Santo, UFES, Vitória, Brazil.
Wallysson Francis Soares, Me *
Science, Technology, and Innovations in Mental Health and Quality of Life Research Group - Emescam, Vitória, Brazil and State University of Campinas, Unicamp, São Paulo, Brazil.
Elisa Smith Barbiero Medeiros
School of Health Sciences of Santa Casa de Misericórdia de Vitória, Emescam, Faculty of Medicine, Vitória, Brazil and Science, Technology, and Innovations in Mental Health and Quality of Life Research Group - Emescam, Vitória, Brazil.
Thais Costa Jesus
Science, Technology, and Innovations in Mental Health and Quality of Life Research Group - Emescam, Vitória, Brazil.
Alexandre Lemos
Federal University of Espírito Santo, UFES, Vitória, Brazil.
*Author to whom correspondence should be addressed.
Abstract
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.
Keywords: Computerized assessment, fatigue, readiness, prediction, productivity