Correlation analysis between personality traits of clinical nurses and alarm fatigue

Objective To investigate the status of personality traits and alarm fatigue among nurses in the Huzhou region, and to further analyze the relationship between these two aspects, thereby providing a theoretical basis for developing personalized interventions for alarm fatigue. Methods A cross-sectional study design was employed. Between June and September 2024, 294 nursing staff from secondary and tertiary hospitals in Huzhou City were selected as the study participants. Data were collected using a general information questionnaire, the Chinese version of the Alarm Fatigue Scale (AFS), and the short-form Chinese Big Five Personality Inventory(CBF-PI-B). This approach was used to comprehensively assess the distribution characteristics of personality traits and the current status of alarm fatigue among nurses in this region, and to systematically analyze their correlation. Results The total alarm fatigue score among nurses in the Huzhou region was (21. 50 ± 5. 96), indicating a moderate to high level. The predominant personality traits observed were high Conscientiousness (28. 55 ± 4. 56), high Openness (28. 14 ± 4. 95), high Agreeableness (27. 55 ± 4. 17), and low Neuroticism (24. 48 ± 7. 26). Correlation analysis revealed significant positive correlations between alarm fatigue and personality traits, with the strongest correlations observed for Neuroticism (r=0. 645, P＜0. 01), Extraversion (r=0. 441, P＜0. 01), and Agreeableness (r=0. 413, P＜0. 01). After controlling for demographic variables, multiple regression analysis indicated that personality traits were significant predictors of alarm fatigue. Specifically, Neuroticism (β=0. 535, P＜0. 01) was identified as the primary risk factor, whereas Conscientiousness (β=-0. 176, P＜0. 01) demonstrated a significant protective effect. Furthermore, Extraversion and Agreeableness also showed significant positive predictive effects on alarm fatigue. This regression model explained 47. 8% of the variance in alarm fatigue. Conclusion The findings indicate that nursing staff in the Huzhou region commonly experience significant alarm fatigue. Analysis of personality traits reveals that Neuroticism significantly predicts alarm fatigue, whereas the Conscientiousness trait exhibits a protective effect. Additionally, traits of Extraversion and Agreeableness were also found to exacerbate the level of alarm fatigue. These results suggest that, alongside technological improvements, the formulation of alarm management strategies should prioritize the assessment of nursing staff's personality characteristics and the implementation of personalized intervention plans. (目的 探讨湖州地区护士的人格特征与警报疲劳的现状, 并进一步分析两者之间的关系, 为制定个性化的警报疲劳干预措施提供理论依据。方法 采用横断面研究设计, 于2024年6月—9月, 选取湖州市二级及以上医疗机构的294名护士作为研究对象。通过发放一般资料调查表、中文版警报疲劳量表(AFS)及简式中国大五人格问卷(CBF-PI-B), 以全面评估该地区护理人员的人格特质分布特征及警报疲劳发生现状, 并系统分析两者的相关性。结果 湖州地区护士的警报疲劳总分为(21. 50±5. 96)分, 处于中高水平。护士的人格特质主要表现为高严谨(28. 55 ± 4. 56)、高开放(28. 14 ± 4. 95)、高宜人(27. 55 ± 4. 17)、低神经质(24. 48±7. 26)特征。相关性分析表明, 警报疲劳与人格特征之间存在显著的正相关, 其中以神经质(r=0. 645, P＜0. 01)、外向性(r=0. 441, P＜0. 01)和宜人性(r=0. 413, P＜0. 01)的相关性最强。多元回归分析在控制人口学变量后显示, 人格特征是警报疲劳的重要预测因素, 其中神经质(β=0. 535, P＜0. 01)是主要的风险因素, 而严谨性(β=-0. 176, P＜0. 01)则表现出显著的保护作用。此外, 外向性和宜人性也对警报疲劳有显著的正向预测影响。该模型能够解释警报疲劳47. 8%的变异。结论 研究数据表明, 湖州地区护理人员普遍面临显著的警报疲劳问题。人格特质分析显示, 神经质维度对警报疲劳具有显著预测作用, 而严谨性特质则表现出保护性效应。此外, 外向性和宜人性特质也被证实会加重警报疲劳程度。这一发现提示, 在制定警报管理策略时, 除技术改进外, 应着重评估护理人员的人格特征, 并实施个性化干预方案。)