ArticleBMC public health2025
Investigating the culture and practice of reporting occupational incidents in Iranian industries: a mixed-methods study.
Article in BMC public health, 2025. 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
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.
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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEffective Reporting, Registration, and Investigation of Occupational Incidents (RRIOI) are essential for monitoring incident frequency, identifying root causes, and implementing control measures to improve workplace safety. While RRIOI systems have been successfully adopted in many countries, challenges persist, particularly in developing countries such as Iran. This study investigates the culture and practices of RRIOI process within industrial workplaces in West Azerbaijan province, Iran.
methodsA mixed-methods approach was used, involving 631 participants from diverse companies to assess the culture of RRIOI. Additionally, in-depth interviews were conducted with 20 Occupational Health and Safety (OHS) experts to explore internal and external factors affecting the RRIOI process. Quantitative data were analyzed using t-tests, Spearman correlations. Hierarchical linear regression applied to investigate the predictive capacity of independent variables on RRIOI culture. The content analysis was employed to analyze the qualitative data.
resultsThe overall RRIOI culture score averaged 3.09 (± 0.35). Among the sub-factors, corrective actions scored highest (3.27 ± 0.64), whereas barriers for under-reporting scored lowest (2.90 ± 0.54). A t-test revealed that OHS training and prior experience with occupational accidents were positively associated with RRIOI culture scores. Hierarchical regression indicated that management role positively influenced RRIOI culture, while industry type had a negative effect. Telephone communication was the most common method for reporting incidents. Notably, reporting of low-severity incidents and near-misses was markedly deficient across organizations. Participants also highlighted a lack of feedback from OHS authorities. Furthermore, this study identified key factors contributing to reluctance in incident reporting.
conclusionsThis is the first study in Iran to systematically examine RRIOI culture across multiple industries using a mixed-methods approach. The integration of stakeholders' perspectives provides a comprehensive understanding of the systemic and cultural challenges hindering effective incident reporting. The findings highlight the need for national policies to foster a non-punitive reporting culture, implement integrated electronic incident reporting systems, enhance workforce training, and ensure adequate resource allocation. These insights offer actionable guidance for strengthening RRIOI frameworks in Iran.
Indexed as
Identifiers
What OpenQuestion holds
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.