ArticleBelitung nursing journal2024
The predictive power of electronic reporting system utilization on voluntary reporting of near-miss incidents among nurses: A PLS-SEM approach.
Article in Belitung nursing journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Patient safety incident reporting systems and reporting practices in African healthcare organisations: a systematic review and meta-analysis.BMJ open quality · 2025Pooled it
- A retrospective descriptive study on the early identification of near-miss events in nursing.BMC health services research · 2026Article
- Nursing near miss: a concept analysis.BMC nursing · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patient safety is crucial in healthcare, with incident reporting vital for identifying and addressing errors. Near-miss incidents, common yet underreported, serve as red flags requiring attention. Nurses' underreporting, influenced by views and system usability, inhibits learning opportunities. The Electronic Reporting System (ERS) is a modern solution, but its effectiveness remains unclear. Objective: This study aimed to investigate the role of the ERS in enhancing the voluntary reporting of near-miss (VRNM) incidents among nurses. Methods: A cross-sectional study was conducted in the Al Dhafra region of the United Arab Emirates, involving 247 nurses from six hospitals. Data were collected using a questionnaire between April 2022 and August 2022. Structural Equation Modelling Partial Least Square (SEM-PLS) was employed for data analysis. Results: The average variance extracted for the ERS construct was 0.754, indicating that the common factor accounted for 75.4% of the variation in the ERS scores. The mean ERS score was 4.093, with a standard deviation of 0.680. For VRNM, the mean was 4.104, and the standard deviation was 0.688. There was a positive correlation between ERS utilization and nurses' willingness to report near-miss incidents. Additionally, our research findings suggest a 66.7% relevance when applied to various hospital settings within the scope of this study. Conclusion: The findings suggest that adopting a user-friendly reporting system and adequate training on the system's features can increase reporting and improve patient safety. Additionally, these systems should be designed to be operated by nursing staff with minimal obstacles.
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Registered trials
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