白香菊Pai,Hsiang-Chu嚴偲綺YEN,SSU-CHIYEN護理學系碩士班2026-10-282031-07-1520262026-07-03https://handle.ncl.edu.tw/11296/9yy4s4https://scholars.csmu.edu.tw/handle/123456789/34791研究背景：急診護理師長期處於高壓工作環境，頻繁面對病人及家屬的不滿情緒，導致職場暴力事件頻繁發生。職場暴力不僅影響護理人員的身心健康，亦會降低工作滿意度與留任意願。復原力與情緒智能為護理人員因應職場暴力的重要心理保護因素，然而國內針對急診護理師職場暴力經驗、情緒智能與復原力三者關係之實證研究仍相當有限，因此本研究旨在探討三者之間的關聯性，以提供醫療機構規劃護理人員心理支持方案之參考依據。研究目的：本研究旨在了解急診護理師職場暴力經驗、情緒智能與復原力之現況，並探討人口學特質在復原力之差異，以及職場暴力經驗與情緒智能對復原力之相關性與預測力研究方法：本研究採橫斷式調查設計，以台灣中部一間區域教學醫院及兩間醫學中心急診室護理師為研究對象，共收集190份有效問卷；研究工具包含個人基本資料、醫院職場暴力預防調查問卷、成人情緒智能量表（AEIS, Adult Emotional Intelligence Scale）及Connor-Davidson復原力量表（Connor–Davidson Resilience Scale）；使用SPSS統計軟體進行分析，統計方法包含描述性統計（基本人口學特徵）、獨立樣本t檢定與單因子變異數分析（比較不同人口學特質在復原力上的差異）、皮爾森積差相關分析及獨立樣本t檢定（探討職場暴力經驗與情緒智能、復原力之間的相關性），以及多元迴歸分析（檢驗職場暴力經驗及情緒智能對復原力之預測效果）。研究結果：研究結果顯示，急診護理師最近一年內職場暴力經驗以口頭侮辱比例最高，其次依序為肢體暴力、威脅及霸凌；情緒智能整體呈中等程度，以情緒覺知得分最高，情緒調整得分最低；復原力亦呈中等程度；人口學變項方面，各人口學特質在復原力上均未達統計顯著差異，相關分析顯示，情緒智能與復原力呈顯著正相關（r = .628，p < .001），各類職場暴力經驗與復原力均未達統計顯著相關；多元迴歸分析顯示，情緒智能可顯著預測復原力（β = .634，p < .001），整體模型之解釋力為38.5%，其中情緒智能為唯一顯著預測因子。結論：情緒智能為急診護理師復原力之重要預測因子，情緒智能愈高者，其復原力愈佳；建議醫療機構規劃情緒智能訓練課程，以協助急診護理師在高壓工作環境與職場暴力事件中有效調節情緒、維持心理穩定，進而提升其心理調適與復原能力，降低職場暴力對護理師身心健康之負向影響，維護醫療人力之穩定與照護品質。Background:Emergency department (ED) nurses work in high-stress environments and frequently encounter dissatisfaction and frustration from patients and their families, leading to frequent incidents of workplace violence (WPV). WPV not only jeopardizes the physical and psychological well-being of nursing staff,but also contributes to reduced job satisfaction and lower intention to stay. Resilience and emotional intelligence (EI) are key psychological protective factors that influence how nurses cope with WPV; however, domestic studies exploring the relationships between WPV experiences, emotional intelligence, and resilience among emergency departmentnurses remain limited. Therefore, this study aimed to explore the relationships among these three factors to provide a reference for healthcare institutions in planning psychological support programs for nursing staff.Objectives:This study aimed to investigate the current state of WPV experiences, emotional intelligence, and resilience between emergency departmentnurses, and to examine differences in resilience between demographic characteristics, as well as the correlations and predictive effects of WPV experiences and emotional intelligence on resilience.Methods:This cross-sectional survey study recruited 190 nurses from emergency departments of a regional teaching hospital and two medical centers in central Taiwan. The questionnaires included demographic information, the Hospital Workplace Violence Prevention Questionnaire, the Adult Emotional Intelligence Scale (AEIS), and the Connor-Davidson Resilience Scale (CD-RISC). Data were analyzed using SPSS statistical software, with statistical methods including descriptive statistics (basic demographic characteristics), independent sample t tests and one-way ANOVA (to examine differences in resilience across demographic variables), Pearson's product-moment correlation analysis (to explore the relationships between WPV experiences, emotional intelligence, and resilience), and multiple regression analysis (to examine the predictive effects of WPV experiences and emotional intelligence on resilience).Results:The results showed that verbal abuse was the mostreported type of workplace violence experienced by emergency department nurses in the previous year, followed by physical violence, threats, and bullying. The overall level of emotional intelligence was moderate, with emotional awareness receiving the highest score and emotional regulation the lowest. Resilience was also at a moderate level. No statistically significant differences in resilience were observed between demographic characteristics. The correlation analysis revealed a significant positive correlation between emotional intelligence and resilience (r = .628, p< .001), whereas none of the different types of workplace violence were significantly correlated with resilience. Multiple regression analysis indicated that emotional intelligence significantly predicted resilience (β = .634, p< .001). The overall model explained 38.5% of the variance in resilience, with emotional intelligence being the only significant predictor.Conclusions:Emotional intelligence is a significant predictor of resilience among emergency department nurses, with higher emotional intelligence associated with greater resilience. It is recommended that healthcare institutions develop emotional intelligence training programs to assist emergency department nurses in effectively regulating their emotions and maintaining psychological stability when faced with high-stress work environments and WPV incidents, thus improving their psychological adaptation and resilience, reducing the negative impact of WPV on nurses' physical and mental health, and maintaining stable healthcare workforce and care quality.急診護理師職場暴力經驗情緒智能復原力Emergency NursesWorkplace Violence ExperienceEmotional IntelligenceResiliencethesis