Evidence map›Paper›PMID 38027779›Full record

ArticleHeliyon2023

Near-miss accidents data analysis and knowledge dissemination in water construction projects in Oman.

Mohammed Al Shaaili, Mubarak Al Alawi, Ronald Ekyalimpa, Bader Al Mawli, Abdullah Al-Mamun, Mohammed Al Shahri

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Mohammed Al ShaailiDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Oman.
Mubarak Al AlawiDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Oman.
Ronald EkyalimpaDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Oman.
Bader Al MawliNama Water Services Company, Oman.
Abdullah Al-MamunDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Oman.
Mohammed Al ShahriDepartment of Civil and Architectural Engineering, Sultan Qaboos University, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AccidentsHSENear-missOmanWater construction project

Identifiers

PMID38027779
PMCPMC10654148

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.