ArticleHeliyon2023
Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The strategic role of near-miss data in safety management is undeniably vital. This data provides early warnings of potential accidents, thus serving as a proactive tool for recognizing weak points in safety management and preventing disasters. Reinforcing this premise, an investigation was launched to delve into the classification and analysis of near-miss accident data, aiming to augment safety prevention knowledge in the Nama Water Services (NWS) Company. The study engaged in comprehensive activities, including gathering near-miss reports, engaging with HSE personnel, formulating a standardized near-miss data form, and analyzing the collected data. Additionally, it proposed a structured guideline for identifying, analyzing, and classifying near-miss incidents, hinging on various parameters like types of hazards, operations, time of occurrence, and project segments. The findings highlighted that the construction projects involving pipelines and reservoirs experienced the most incidents, predominantly occurring during weekday mornings and afternoons. Major hazards included falls from scaffolds, falls within trenches, and lax housekeeping. Most notably, the operations most frequently associated with near-miss incidents were excavation, lifting, and loading. A deep dive into the root causes revealed that poor supervision, inadequacies in the safe work system, insufficient control measures, and inadequate training were the primary culprits. Furthermore, the study indicated that workers and equipment bore the brunt of these incidents.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.