PDF(Pubmed)
Abstract：
BACKGROUND: Fatigue in surgical technologists is of paramount importance and is known as a priority because it can be regarded as a threat to the nurse\'s health and patient\'s safety. The fatigue level of healthcare workers can be affected by some factors, while the role of part of these factors is less known. This study aimed to determine the predictive role of resilience and the hospital ethical climate in the fatigue of surgical technologists working in operating rooms (ORs).
METHODS: This is a cross-sectional study conducted on 217 surgical technologists working in ORs of hospitals affiliated with Shiraz University of Medical Sciences. Data were collected using Connor-Davidson\'s Resilience scale, Olson\'s Hospital Ethical Climate Survey, and the Multidimensional Fatigue Inventory, and then analyzed using Pearson\'s correlation coefficient and multiple regression analysis.
RESULTS: 87.1% and 12.9% of surgical technologists reported low and high fatigue, respectively. All fatigue subscales had significant and negative relationships with resilience (p < 0.05). Moreover, the relationship between fatigue and ethical climate was significant (p = 0.02). The multiple linear regression model showed the predictive role of resilience in fatigue (β=-0.29, P < 0.001). According to the model, 10% of the change of fatigue was related to resilience and ethical climate.
CONCLUSIONS: The present study demonstrated the relationship between resilience and ethical climate with fatigue. Moreover, resilience was a predictor of the surgical technologists\' fatigue, so that their fatigue decreased with increasing resilience. However, future studies are recommended to determine other factors influencing fatigue in surgical technologists.
METHODS: This is a cross-sectional study conducted on 217 surgical technologists working in ORs of hospitals affiliated with Shiraz University of Medical Sciences. Data were collected using Connor-Davidson\'s Resilience scale, Olson\'s Hospital Ethical Climate Survey, and the Multidimensional Fatigue Inventory, and then analyzed using Pearson\'s correlation coefficient and multiple regression analysis.
RESULTS: 87.1% and 12.9% of surgical technologists reported low and high fatigue, respectively. All fatigue subscales had significant and negative relationships with resilience (p < 0.05). Moreover, the relationship between fatigue and ethical climate was significant (p = 0.02). The multiple linear regression model showed the predictive role of resilience in fatigue (β=-0.29, P < 0.001). According to the model, 10% of the change of fatigue was related to resilience and ethical climate.
CONCLUSIONS: The present study demonstrated the relationship between resilience and ethical climate with fatigue. Moreover, resilience was a predictor of the surgical technologists\' fatigue, so that their fatigue decreased with increasing resilience. However, future studies are recommended to determine other factors influencing fatigue in surgical technologists.
摘要：
背景：外科技术人员的疲劳是最重要的，并且被称为优先事项，因为它可以被视为对护士健康和患者安全的威胁。医护人员的疲劳程度会受到一些因素的影响，而部分因素的作用却鲜为人知。这项研究旨在确定弹性和医院道德氛围在手术室（ORs）工作的外科技术人员疲劳中的预测作用。
方法：这是一项针对设拉子医科大学附属医院ORs中217名外科技术人员的横断面研究。数据使用康纳-戴维森弹性量表收集，奥尔森的医院伦理气候调查，和多维疲劳清单，然后用皮尔逊相关系数和多元回归分析进行分析。
结果：87.1%和12.9%的外科技术人员报告低和高疲劳，分别。所有疲劳分量表都与弹性呈显著负相关(p<0.05)。此外，疲劳与伦理气候之间的关系显着（p=0.02）。多元线性回归模型显示韧性对疲劳的预测作用(β=-0.29,P<0.001)。根据模型,10%的疲劳变化与韧性和伦理气候有关。
结论：本研究证明了韧性和伦理气候与疲劳之间的关系。此外，弹性是外科技术人员疲劳的预测指标，所以他们的疲劳随着弹性的增加而减少。然而,建议未来的研究来确定影响外科技术人员疲劳的其他因素。
方法：这是一项针对设拉子医科大学附属医院ORs中217名外科技术人员的横断面研究。数据使用康纳-戴维森弹性量表收集，奥尔森的医院伦理气候调查，和多维疲劳清单，然后用皮尔逊相关系数和多元回归分析进行分析。
结果：87.1%和12.9%的外科技术人员报告低和高疲劳，分别。所有疲劳分量表都与弹性呈显著负相关(p<0.05)。此外，疲劳与伦理气候之间的关系显着（p=0.02）。多元线性回归模型显示韧性对疲劳的预测作用(β=-0.29,P<0.001)。根据模型,10%的疲劳变化与韧性和伦理气候有关。
结论：本研究证明了韧性和伦理气候与疲劳之间的关系。此外，弹性是外科技术人员疲劳的预测指标，所以他们的疲劳随着弹性的增加而减少。然而,建议未来的研究来确定影响外科技术人员疲劳的其他因素。
