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Emergency Nurses Job Satisfaction Prediction Model: Personality traits, Resilience, Emotional Expression and Ambiguity Tolerance

机译:紧急护士工作满意度预测模型:人格特质,恢复力,情感表达和歧义耐受性

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Background: Nursing is considered as one of the most stressful jobs due to the emotional nature of the patient's demands, long working hours, professionals and interpersonal conflicts. Aim: The purpose of present research was the study of job satisfaction predictors consisted personality traits, resilience, emotional expression and ambiguity tolerance of emergency nurses in Tehran hospitals. Methods: This is a descriptive and correlational study. The population includes all emergency nurses in all hospitals of Tehran in 2017. The sample size consisted of 300 nurses who were selected randomly. For data collection were used NEO Personality Inventory, Berkeley Emotional Expression Questionnaire (BEQ), Job Satisfaction Survey (JSS), Resilience Scale (RS) and Ambiguity Tolerance Scale (ATS). Results: The results demonstrate that ambiguity tolerance, resilience and emotional expression respectively had respectively the highest impact on job satisfaction, but personality traits had the lowest impact on it. Implications for Practice: Personality traits can be a predictor of the job satisfaction of emergency nurses in hospital environment.
机译:背景:护理被认为是由于患者需求,长期工作时间,专业人才和人际关系冲突的情感性质,是最紧张的工作之一。目的:目前研究的目的是工作满意度预测因子的研究包括德黑兰医院紧急护士的人格特质,韧性,情感表达和歧义耐受性。方法:这是一个描述性和相关的研究。 2017年,人口包括所有德黑兰医院的所有紧急护士。样本大小由300名被随机选择的护士组成。对于数据收集,使用Neo人格库存,伯克利情感表达问卷(BEQ),工作满意度调查(JSS),弹性量表(RS)和歧义容差尺度(ATS)。结果:结果表明,歧义耐受性,弹性和情绪表达分别对工作满意度的最高影响,但人格特质对其产生了最低的影响。对实践的影响:人格特征可以是医院环境中应急护士的工作满意度的预测因素。

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