The Effect of Sleep Quality on the Probability of Human Errors in the Employees of Railway Traffic Control Rooms
Iran Occupational Health, ISSN: 2228-7493, Vol: 20, Issue: 1, Page: 194-212
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Background and aims: Major accidents in many industries, including railway industries, are caused by human errors. Several factors contribute to the occurrence of such errors. One’s sleep quality may influence the likelihood of human error. A study was conducted to investigate the impact of sleep quality on the likelihood of human error among employees in railway traffic control rooms. Methods: A cross-sectional descriptive-analytical study was conducted in 2021 involving 115 male employees working in railway traffic controls. Each participant completed the General Health Questionnaire (GHQ), the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS), and the Self-report of Human Error Probability Questionnaire (SHEPQ). Data were analyzed using Spearman and Independent T-Test. Results: The study results showed that the mean age ± (Standard Deviation (SD)) and work experience ± (SD) of the participants were 36.57 ± (5.22) and 10.09 ± (5.66), respectively. 36.5%, 49.6%, 18% and, 21.7% of participants had 23 ≤GHQ≤ 40, PSQI> 5, ESS≥13 and SHEPQ> 50, respectively. Also, a significant relationship was found between PSQIScore and ESSScore, with the likelihood of human error (P<0.001, Correlation Coefficient (CC) = 0.399, P<0.001, CC = 0.412, respectively). Additionally, a significant relationship was observed between the mean error scores in the sleep quality subgroups (P<0.001). Conclusion: The findings of this study suggest that poor sleep quality is a significant factor in the occurrence of human error.
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