Yousif Sahar Yaqoob, Al-Fayyadh Sadeq
Adult Nursing Department, College of Nursing, University of Babylon, Babylon, Iraq.
Adult Nursing Department, College of Nursing, University of Baghdad, Baghdad, Iraq.
J Educ Health Promot. 2025 Jan 31;14:38. doi: 10.4103/jehp.jehp_926_24. eCollection 2025.
Critical care nurses work in complex healthcare environments, which makes them more susceptible to burnout. Despite extensive research on burnout among nurses no previous study targeted burnout contributing factors in Iraq. Thus, this study aimed to determine the predicting the most influential factors in the development of burnout among critical care nurses.
A descriptive correlational design was used with 377 nurses who were practicing in critical care units in 13 public teaching hospitals in Iraq. Data were collected using socio-demographic, professional characteristics of nurses, Nurses Alarm Fatigue questionnaire, Depression Anxiety Stress Scale, and Burnout Assessment Tool. Descriptive statistics and multiple regression were used for data analysis.
The multiple regression showed that nurses' anxiety, stress, alarm fatigue, depression, and time span positively predict nurses' burnout ( value = .000.,000.,000.,033.,036), respectively. On the other hand, only nurses' age inversely predicts burnout level ( value = .008).
Anxiety, stress, alarm fatigue, depression, and time span are the most influential factors in the development of burnout. Age was the only variable that predicted burnout inversely.
重症监护护士工作于复杂的医疗环境中，这使他们更容易产生职业倦怠。尽管对护士职业倦怠进行了广泛研究，但此前尚无针对伊拉克职业倦怠影响因素的研究。因此，本研究旨在确定重症监护护士职业倦怠发展中最具影响力的预测因素。
采用描述性相关性设计，对伊拉克13所公立教学医院重症监护病房的377名护士进行研究。使用社会人口统计学、护士专业特征、护士警报疲劳问卷、抑郁焦虑压力量表和职业倦怠评估工具收集数据。采用描述性统计和多元回归进行数据分析。
多元回归显示，护士的焦虑、压力、警报疲劳、抑郁和工作时长分别对护士职业倦怠有正向预测作用（值分别为.000、.000、.000、.033、.036）。另一方面，只有护士年龄对职业倦怠水平有反向预测作用（值为.008）。
焦虑、压力、警报疲劳、抑郁和工作时长是职业倦怠发展的最具影响力因素。年龄是唯一对职业倦怠有反向预测作用的变量。
