“Human Error” Isn’t Enough. Marine Accident Evaluation Methods: A Systematic Review

Author(s):  
Alexandria D. Ward ◽  
Dan Nathan-Roberts

The commercial shipping industry continues to be responsible for a vast majority of the world’s trade, yet it remains behind similar transport industries in terms of safety and accident prevention. The regulation of safety systems and naval architecture have led to significantly fewer accidents, but human error remains a constant factor and has been identified as the most likely cause of a marine accident. A systematic review of the methods used to investigate latent factors regarding human error in marine accidents has been conducted in an effort to further examine casual factors which lead to human error. Widely accepted methods or modified methods from other high-risk industries such as Human Factors Analysis and Classification System (HFACS) and Bayesian Networks have been utilized, but few have taken into account all of the sociotechnical macroergonomics of such a complex industry, leaving significant research and engineering potential.

2021 ◽  
Vol 9 (3) ◽  
pp. 261
Author(s):  
Nermin Hasanspahić ◽  
Srđan Vujičić ◽  
Vlado Frančić ◽  
Leo Čampara

A common interest of all shipping industry stakeholders is safe and accident-free shipping. To reach that goal, one of the most important actions that can be done is to analyze previous marine accidents. It means finding causes of accidents and, based on the analysis results, implementing effective corrective measures that can help reduce such undesired events in the future and improve safety efforts in shipping. Since it is widely accepted that human error accounts for 80–85% of all marine accidents, the research was focused on the human factor analysis in marine accidents. In this paper, 135 marine accident reports recorded in the UK Marine Accident Investigation Branch (MAIB) database from 2010 to 2019 were analyzed. The analysis aimed to categorize causal factors and discover the ones that are the most common. The Human Factor Analysis and Classification System for Maritime Accidents (HFACS-MA) method was used to be able to do so. Furthermore, multiple linear regression was used to determine the relationship between the number of accidents and the most common HFACS-MA causal factors. The research revealed that the causes of marine accidents are primarily dependent on two human factor categories and confirmed that by influencing those human factors categories, the number of marine accidents could be reduced and shipping safety improved in general.


Today there are less number of active seafarers in our midst, “Besides”, they are the great important element in shipping and slowly this industry is beginning to realize the central importance of seafarers. The crisis is coming and the industry is awakening to the fact it must deal with the human element in its business. Therefore in this paper it is intended to establish priorities to human factor, According to Ergonomics the scientific study concerned with understanding of interactions among humans and other elements of a system. Furthermore by the exploratory study it was observed that human error contributing to 75% & remaining 25% technical failures, According to the study it is reveal that taking risk in work, inadequate training, not following rules & regulations, habitability issues (engine noise, sea sick, fatigue, vibration, illuminations, sleep disturbance, temperature), No team work, lack of communication, lack of application of safety, inadequate knowledge, crew negligence, inattention, overconfidence, work schedules. A valuable ergonomics will safe the human element & increases the productivity. This paper is to predict the outcome of human impact on marine accidents.


2019 ◽  
Vol 31 (4) ◽  
pp. 205-236
Author(s):  
Myeong -Kyu Lee ◽  
Koji Yoshimoto

2021 ◽  
pp. 112070002199111
Author(s):  
Jacob Shapira ◽  
Mitchell J Yelton ◽  
Jeffery W Chen ◽  
Philip J Rosinsky ◽  
David R Maldonado ◽  
...  

Background: The aims of this systematic review were: (1) to investigate the prophylactic effect of radiotherapy (RT) and NSAIDs in high-risk patients following total hip arthroplasty (THA); and (2) to compare the efficacy of non-selective and COX-II selective NSAIDs in preventing post-THA HO, utilising a meta-analysis of randomised control studies. Methods: The PubMed, Embase, and Cochrane Databases were searched for articles regarding HO following THA in March 2019. Studies were included if they contained data regarding HO incidence after THA or contained data regarding HO prophylaxis comparison of NSAIDs and/or RT in terms of dosage or duration. Results: 24 studies reported on populations that were not at high-risk for HO. These studies reported between 47.3% and 90.4% of their patient populations had no HO formation; between 2.8% and 52.7% had mild formation; and between 0.0% and 10.4% had severe formation. A total of 13 studies reported on populations at high-risk for HO. Studies analysing RT in high-risk patients reported between 28.6% and 97.4% of patients developed no HO formation; between 1.9% and 66.7% developed mild HO formation; and between 0.0% and 11.9% developed severe HO formation. Studies analysing NSAID treatment among high-risk populations reported between 76.6% and 88.9% had no HO formation; between 11.1% and 23.4% had mild HO formation, and between 0.0% and 1.8% had severe HO formation. 9 studies were identified as randomised control trials and subsequently used for meta-analysis. The relative risk for COX-II in developing any HO after THA was not significantly different compared to non-selective NSAIDs (RR 1.00; CI, 0.801–1.256; p = 0.489). Conclusions: NSAIDs prophylaxis for HO may have better efficacy than RT in high-risk patients following THA. Non-selective and COX-II selective NSAIDs have comparable efficacy in preventing HO. Factors such as medical comorbidities and side-effect profile should dictate the prophylaxis recommendation.


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