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2025 ; 24
(1
): 1321
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Predictors of adverse event reporting intention among primary care nurses: a
multi-center study in China
#MMPMID41131514
Jiang J
; Wang J
; Xiong F
; Zhai J
; Liu T
; Zhao Q
; Xiao M
BMC Nurs
2025[Oct]; 24
(1
): 1321
PMID41131514
show ga
BACKGROUND: The reporting of adverse events (AEs) is essential for improving
patient safety. However, there is limited evidence regarding the reporting
intentions of nurses in primary healthcare institutions, particularly in
resource-constrained settings. This study aimed to investigate the predictors of
AE reporting intention among nurses in China?s primary care sector. METHODS: A
multi-centre, cross-sectional survey was conducted from December 2023 to August
2024 with 607 nurses from 48 primary healthcare institutions in Chongqing, China.
Validated instruments were used to assess AE reporting intention, reporting
cognition, and perceived barriers to reporting. Data were analysed using
descriptive statistics, non-parametric tests, Spearman correlation, and multiple
linear regression. RESULTS: Nurses demonstrated a high overall intention to
report AEs (mean?=?13.44?±?3.32, on a scale of 0?15). However, nurses reported a
significantly higher intention to use informal reporting channels (e.g.,
reporting to a supervisor) than formal, written mechanisms. The final multiple
linear regression model (Adjusted R² = 0.333, p?0.001) identified reporting
cognition as the strongest positive predictor of reporting intention (??=?0.522,
p?0.001). A cumbersome reporting process was a significant negative predictor
(? = -0.107, p?=?0.005), whereas a punitive culture was not a statistically
significant predictor in the final model. CONCLUSION: In the context of China?s
primary healthcare system, nurses? intention to report adverse events is driven
more by their cognitive ability to identify an event and the simplicity of the
reporting process than by the fear of punishment. To enhance patient safety,
institutional strategies should prioritise improving nurses? cognitive skills for
event recognition and streamlining reporting systems to reduce procedural
burdens.