Volume 20, Issue 1 (2023)
ioh 2023, 20(1): 194-212 |
Back to browse issues page
Ethics code: IR.SBMU.PHNS.REC.1400.039
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
salehi sahlabadi A, Ramezanifar S, Namdari M, Eskandari D. the effect of sleep quality on the probability of human error of staff of railway traffic control rooms. ioh 2023; 20 (1) :194-212
URL: http://ioh.iums.ac.ir/article-1-3439-en.html
URL: http://ioh.iums.ac.ir/article-1-3439-en.html
Department of Occupational Health, School of Public Health and safety, Shahid Beheshti University of Medical Sciences, Tehran , asalehi529@gmail.com
Abstract: (1279 Views)
Abstract
Background and aims: Human errors cause major accidents in many industries, including railway industries. Several factors also play a role in the occurrence of such errors. The quality of people's sleep may affect their probability of human error. This study was conducted to investigate the effect of sleep quality on the probability of human error in employees of railway traffic control rooms.
Methods and Materials: This cross-sectional descriptive-analytical study was conducted in 2021 with 115 male employees working in railway traffic controls. In this survey, 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: According to the results of the study, 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, there is a significant relationship between PSQIScore and ESSScore, with the probability of human error (P<0.001, Correlation Coefficient (CC) = 0.399, P<0.001, CC = 0.412, respectively). In addition, there was a significant relationship between the mean error scores in the sleep quality subgroups (P<0.001).
Conclusion: According to the findings of this study, poor sleep quality is an important factor in the incidence of human error.
Background and aims: Human errors cause major accidents in many industries, including railway industries. Several factors also play a role in the occurrence of such errors. The quality of people's sleep may affect their probability of human error. This study was conducted to investigate the effect of sleep quality on the probability of human error in employees of railway traffic control rooms.
Methods and Materials: This cross-sectional descriptive-analytical study was conducted in 2021 with 115 male employees working in railway traffic controls. In this survey, 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: According to the results of the study, 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, there is a significant relationship between PSQIScore and ESSScore, with the probability of human error (P<0.001, Correlation Coefficient (CC) = 0.399, P<0.001, CC = 0.412, respectively). In addition, there was a significant relationship between the mean error scores in the sleep quality subgroups (P<0.001).
Conclusion: According to the findings of this study, poor sleep quality is an important factor in the incidence of human error.
Type of Study: Research |
Subject:
Ergonomics
Received: 2022/08/28 | Accepted: 2023/03/1 | Published: 2023/03/30
Received: 2022/08/28 | Accepted: 2023/03/1 | Published: 2023/03/30
References
1. Evans M, He Y, Luo C, Yevseyeva I, Janicke H, Maglaras LA. Employee perspective on information security related human error in healthcare: Proactive use of IS-CHEC in questionnaire form. IEEE Access. 2019;7:102087-101. [DOI:10.1109/ACCESS.2019.2927195]
2. Tamborello FP, Trafton JG. Human error as an emergent property of action selection and task place-holding. Human factors. 2017;59(3):377-92. [DOI:10.1177/0018720816672529]
3. Sembiring N, Tambunan MM, Febriani M, editors. Human error analysis on production process of door products with SHERPA and HEART method. IOP Conference Series: Materials Science and Engineering. 2019: IOP Publishing. [DOI:10.1088/1757-899X/505/1/012025]
4. Zhou JL, Lei Y, Chen Y. A hybrid HEART method to estimate human error probabilities in locomotive driving process. Reliability Engineering & System Safety. 2019;188:80-9. [DOI:10.1016/j.ress.2019.03.001]
5. Ramezanifar S, Ramezanifar E, Sahlabadi AS. Investigating the Probability of Human Error in Iranian Industrial Control Rooms: A Systematic Review. International Journal of Occupational Hygiene. 2022;14(1).
6. Kumar P, Gupta S, Gunda YR. Estimation of human error rate in underground coal mines through retrospective analysis of mining accident reports and some error reduction strategies. Safety science. 2020;123:104555. [DOI:10.1016/j.ssci.2019.104555]
7. Chiu MC, Hsieh MC. Latent human error analysis and efficient improvement strategies by fuzzy TOPSIS in aviation maintenance tasks. Applied ergonomics. 2016;54:136-47. [DOI:10.1016/j.apergo.2015.11.017]
8. Mehrifar Y, Ramezanifar S, Beyrami S, Talebolhagh S, Ramezanifar E, Amiri P, et al. A Review of Safety Economics Studies and Cost of Occupational Accidents in Iran from 2000 to 2021. Journal of Health and Safety at Work. 2022;12(4):699-723.
9. Soria Zurita NF, Stone RB, Demirel O, Tumer IY, editors. The function-human error design method (fhedm). International Design Engineering Technical Conferences and Computers and Information in Engineering Conference; 2018: American Society of Mechanical Engineers. [DOI:10.1115/DETC2018-85327]
10. Singh S, Kumar R, Barabadi A, Kumar S, editors. Human error quantification of railway maintenance tasks of disc brake unit. Proceedings of the world congress on engineering; 2014.
11. Sabbaghpoor Azarian H, NikooMaram H. Identification, analyzing and management of human errors in the filter man job using SHERPA method: A case study of an oil refinery. Occupational Medicine Quarterly Journal. 2022;14(1):57-70. [DOI:10.18502/tkj.v14i1.9856]
12. Ramezanifar S, Ramezanifar E, Khadiv E, Salehi Sahlabadi A, Eskandari D, Namdari M. Applying the HEART Technique to Identify and Assess the Human Error in the Central Railway Traffic Control Room. Journal of Health and Safety at Work. 2022;12(3):595-616.
13. Rashidi MA, PiranAghl MR, Ahmadi O, Pournajaf A, Seififard M, Kazemi M, et al. Occupational fatigue and sleep quality: a comparison between nurses working in various wards of public hospitals. Journal of Advances in Medical and Biomedical Research. 2020;28(131):336-45. [DOI:10.30699/jambs.28.131.336]
14. Ozvurmaz S, Mandiracioglu A. Work-related fatigue and related factors among nurses working at the Adnan Menderes University Hospital. Medical Science and Discovery. 2018;5(8):284-9. [DOI:10.17546/msd.448923]
15. Elliott JL, Lal S. Blood pressure, sleep quality and fatigue in shift working police officers: effects of a twelve hour roster system on cardiovascular and sleep health. International journal of environmental research and public health. 2016;13(2):172. [DOI:10.3390/ijerph13020172]
16. Mohammadian F, Abbasinia M, Rahmani A, Monazzam MR, Asghari M, Ahmadnezhad I, et al. Survey and comparison of sleep quality among fixed and changing shift staff in a steel factory in Tehran, Iran. Electronic physician. 2013;5(1):599. [DOI:10.12966/ijp.03.02.2014]
17. Yun JA, Ahn YS, Jeong KS, Joo EJ, Choi KS. The relationship between chronotype and sleep quality in Korean firefighters. Clinical Psychopharmacology and Neuroscience. 2015;13(2):201. [DOI:10.9758/cpn.2015.13.2.201]
18. Ramezanifar S, Ramezanifar E, Sahlabadi AS. The Factors Influencing Sleep Quality and Its Related Disorders in Process, Manufacturing, and Service Industries: A Systematic Review. Journal of Sleep Sciences. 2021;6(3-4):53-66. [DOI:10.18502/jss.v6i(3-4).10884]
19. Zeng LN, Yang Y, Wang C, Li XH, Xiang YF, Hall BJ, et al. Prevalence of poor sleep quality in nursing staff: a meta-analysis of observational studies. Behavioral sleep medicine. 2020;18(6):746-59. [DOI:10.1080/15402002.2019.1677233]
20. Eskandari T, Aliabadi MM, Mohammadfam I. Fire and explosion risk analysis, using bow-tie method and fuzzy-bayesian network in the process industries. Iran Occupational Health. 2021;18(1):150-65. [DOI:10.52547/ioh.18.1.139]
21. Akyuz E, Celik M. A hybrid human error probability determination approach: The case of cargo loading operation in oil/chemical tanker ship. Journal of Loss Prevention in the Process Industries. 2016;43:424-31. [DOI:10.1016/j.jlp.2016.06.020]
22. Taghavi S. Validity and reliability of the general health questionnaire (ghq-28) in college students of shiraz university. Journal of psychology. 2002;5(4):381-98.
23. Heydari A, Ehtesham Zadeh P, Marashi M. Relationship between insomnia severity, sleep quality, drowsiness and mental health disorders with academic performance in girls. Journal Woman and Culture. 2010;2(4):65-76.
24. Sadeghniiat Haghighi K, Montazeri A, Khajeh Mehrizi A, Aminian O, Rahimi Golkhandan A, Saraei M, et al. The Epworth Sleepiness Scale: translation and validation study of the Iranian version. Sleep and Breathing. 2013;17(1):419-26. [DOI:10.1007/s11325-012-0646-x]
25. Alahri MB, Arshadizadeh R, Raeisi M, Khatami M, Sajadi MS, Abdelbasset WK, et al. Theranostic applications of metal-organic frameworks (MOFs)-based materials in brain disorders: Recent advances and challenges. Inorganic Chemistry Communications. 2021;134:108997. [DOI:10.1016/j.inoche.2021.108997]
26. Brossoit RM, Crain TL, Leslie JJ, Hammer LB, Truxillo DM, Bodner TE. The effects of sleep on workplace cognitive failure and safety. Journal of occupational health psychology. 2019;24(4):411. [DOI:10.1037/ocp0000139]
27. Zare R, Choobineh A, Keshavarzi S. Association of amplitude and stability of circadian rhythm, sleep quality, and occupational stress with sickness absence among a gas company employees-A cross sectional study from Iran. Safety and Health at Work. 2017;8(3):276-81. [DOI:10.1016/j.shaw.2016.09.007]
28. Shaygan-Nezhad V, Zare M. The role of smoking and passive smoking in CVA in patients with hypertension. Fundamentals of Mental Health J. 2003;6:19-20.
29. Goldberg DP, Hillier VF. A scaled version of the General Health Questionnaire. Psychological medicine. 1979;9(1):139-45. [DOI:10.1017/S0033291700021644]
30. Buysse DJ, Reynolds III CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry research. 1989;28(2):193-213. [DOI:10.1016/0165-1781(89)90047-4]
31. Johns MW. Sleepiness in different situations measured by the Epworth Sleepiness Scale. Sleep. 1994;17(8):703-10. [DOI:10.1093/sleep/17.8.703]
32. Taher YA, Samud AM, Ratimy AH, Seabe AM. Sleep complaints and daytime sleepiness among pharmaceutical students in Tripoli. Libyan Journal of Medicine. 2012;7(1). [DOI:10.3402/ljm.v7i0.18930]
33. Dehghani M, Sadeghniat K, Ebrahimi M. Relationship between Epworth Sleepiness Scale and obstructive sleep apnea with road accidents. Iran Occupational Health. 2015;12(1):87-96.
34. Monazam M, Laal F, Sarsangi V, Fallahmadvari R, Najafi K, Fallahmadvari A. Designing and determination of validity and reliability of the questionnaire increasing the duration of using the hearing protection device by workers based on BASNEF model. Journal of Ilam University of Medical Sciences. 2018;25(6):21-8. [DOI:10.29252/sjimu.25.6.21]
35. Lawshe CH. A quantitative approach to content validity. Personnel psychology. 1975;28(4):563-75. [DOI:10.1111/j.1744-6570.1975.tb01393.x]
36. Waltz CF, Bausell RB. Nursing research: Design, statistics, and computer analysis: FA Davis company; 1981.
37. Grozdanovic M, Janackovic GL, Stojiljkovic E. The selection of the key ergonomic indicators influencing work efficiency in railway control rooms. Transactions of the Institute of Measurement and Control. 2016;38(10):1174-85. [DOI:10.1177/0142331215579948]
38. Kazemi R, Haidarimoghadam R, Motamedzadeh M, Golmohamadi R, Soltanian A, Zoghipaydar MR. Effects of shift work on cognitive performance, sleep quality, and sleepiness among petrochemical control room operators. Journal of circadian rhythms. 2016;14. [DOI:10.5334/jcr.134]
39. Jafari MJ, Saremi M, Khosrowabadi R, Khodakarim S, Azhdari MR, Ghasemi M. A Novel Effect of White Noise on Auditory and Visual Attention using Biomedical Signals on Petrochemical Control Room Operators.
40. Heidarimoghadam R, Motamedzadeh M, Kazemi R. Investigating the effect of night shifts rotation speed on the pattern of melatonin secretion and sleepiness among petrochemical control room operators. Health and Safety at Work. 2020;10(2):110-8.
41. Halvani G, Mehrparvar AH, Shamsi F, Rafieenia R, Khani Mouseloo B, Ebrahimi G. Risk assessment of human error among Mohr City, Parsian Gas refinery company control room operators using systematic human error reduction and prediction approach SHERPA in 2016. Occupational Medicine Quarterly Journal. 2017;9(3):32-44.
42. Ghahramani A, Adibhesami A, Mohebbi I. An Application of Cognitive Reliability Error Analysis Method for Identification and Evaluation of Human Errors of Control Room Operators in a Cement Manufacturing Company. Journal of Safety Promotion and Injury Prevention. 2020;7(4):183-91.
43. Ghalenoei M, Asilian H, Mortazavi S, Varmazyar S. Human erroranalysis among petrochemical plant control room operators with human errorassessment and reduction technique. Iran Occupational Health. 2009;6(2):38-50.
44. Mahdinia M, Mohammadfam I, Mirzaei Aliabadi M, Aghaei H, Soltanian AR, Soltanzadeh A. The mediating effect of workers' situation awareness on the relationship between work-related factors and human error: a path analysis approach. International journal of occupational safety and ergonomics. 2021:1-9. [DOI:10.1080/10803548.2021.1950337]
45. Lee DW, Kim SJ, Shin NY, Lee WJ, Lee D, Jang JH, et al. Sleeping, sleeping environments, and human errors in South Korean male train drivers. Journal of occupational health. 2019;61(5):358-67. [DOI:10.1002/1348-9585.12059]
46. Zadeh RS, Owora AH, Pham Y, Jiang NZ. Sociodemographic and Job Characteristics Influence Environmental Strategies Used to Manage Workplace Sleepiness. Journal of Occupational and Environmental Medicine. 2019;61(12):955-63. [DOI:10.1097/JOM.0000000000001695]
47. Caldwell JA, Caldwell JL, Thompson LA, Lieberman HR. Fatigue and its management in the workplace. Neuroscience & Biobehavioral Reviews. 2019;96:272-89. [DOI:10.1016/j.neubiorev.2018.10.024]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
