Nguyen Huong Thi Thu, Kitaoka Kazuyo, Sukigara Masune, Thai Anh Lan
Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
Asian Nurs Res (Korean Soc Nurs Sci). 2018 Mar;12(1):42-49. doi: 10.1016/j.anr.2018.01.003. Epub 2018 Feb 8.
This study aimed to create a Vietnamese version of both the Maslach Burnout Inventory-General Survey (MBI-GS) and Areas of Worklife Scale (AWS) to assess the burnout state of Vietnamese clinical nurses and to develop a causal model of burnout of clinical nurses.
We conducted a descriptive design using a cross-sectional survey. The questionnaire was hand divided directly by nursing departments to 500 clinical nurses in three hospitals. Vietnamese MBI-GS and AWS were then examined for reliability and validity. We used the revised exhaustion +1 burnout classification to access burnout state. We performed path analysis to develop a Vietnamese causal model based on the original model by Leiter and Maslach's theory.
We found that both scales were reliable and valid for assessing burnout. Among nurse participants, the percentage of severe burnout was 0.7% and burnout was 15.8%, and 17.2% of nurses were exhausted. The best predictor of burnout was "on-duty work schedule" that clinical nurses have to work for 24 hours. In the causal model, we also found similarity and difference pathways in comparison with the original model.
Vietnamese MBI-GS and AWS were applicable to research on occupational stress. Nearly one-fifth of Vietnamese clinical nurses were working in burnout state. The causal model suggested a range of factors resulting in burnout, and it is necessary to consider the specific solution to prevent burnout problem.
本研究旨在创建越南语版的马氏倦怠量表通用版（MBI - GS）和工作生活领域量表（AWS），以评估越南临床护士的倦怠状态，并建立临床护士倦怠的因果模型。
我们采用横断面调查进行描述性设计。问卷由护理部门直接分发给三家医院的500名临床护士。随后对越南语版的MBI - GS和AWS进行信效度检验。我们使用修订后的枯竭 +1倦怠分类来评估倦怠状态。我们基于Leiter和Maslach的理论，在原始模型的基础上进行路径分析，以建立越南语因果模型。
我们发现这两个量表在评估倦怠方面都是可靠且有效的。在护士参与者中，严重倦怠的比例为0.7%，倦怠的比例为15.8%，17.2%的护士处于枯竭状态。倦怠的最佳预测因素是临床护士必须工作24小时的“值班工作时间表”。在因果模型中，与原始模型相比，我们还发现了相似和不同的路径。
越南语版的MBI - GS和AWS适用于职业压力研究。近五分之一的越南临床护士处于倦怠状态工作。因果模型表明了一系列导致倦怠的因素，有必要考虑具体的解决方案来预防倦怠问题。
