ArticleFrontiers in public health2026
Occupational exposure risk perception and its multilevel influencing factors among nurses in central sterile supply departments: a cross-sectional study based on the social ecological model.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Article
- Determinants of mental health distress among health workers in Abu Dhabi, United Arab Emirates.Frontiers in psychiatry · 2026Article
- Child drowning in northern Bangladesh: barriers, local initiatives, and opportunities for prevention.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Occupational exposure remains a critical issue in occupational safety management within healthcare institutions. Nurses working in central sterile supply departments (CSSDs) face a relatively high risk of occupational exposure due to the unique characteristics of their working environment. However, the multilevel mechanisms influencing occupational exposure risk perception among this population have not been systematically investigated. This study aimed to explore the level of occupational exposure risk perception and its multilevel influencing factors among CSSD nurses. Methods: A cross-sectional study design was employed. From June 2025 to January 2026, study preparation and site coordination were conducted. Following ethics approval in January 2026, an online questionnaire survey was administered among 580 CSSD nurses from 28 tertiary hospitals. Guided by the Social Ecological Model, variables were collected across individual, interpersonal, organizational, community, and policy levels. Stepwise multiple linear regression analysis was performed to identify factors associated with occupational exposure risk perception. Results: The overall level of occupational exposure risk perception among CSSD nurses was moderate, tending to be above the midpoint of the scale. Multivariate analysis showed that self-efficacy, social support, participation in occupational exposure training, regular emergency drills, and supervisory protection were positively associated with occupational exposure risk perception, whereas occupational burnout was negatively associated with risk perception (all Conclusion: Occupational exposure risk perception among CSSD nurses was associated with individual psychological resources and organizational support factors. Based on these findings, multilevel strategies may be considered and should be evaluated in future longitudinal or interventional studies, including strengthening psychological resource support, occupational safety training, and organizational safety culture, to inform capacity building in occupational protection and infection prevention and control.
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.