...
首页> 外文期刊>BMC Health Services Research >Communication, advice exchange and job satisfaction of nursing staff: a social network analyses of 35 long-term care units
【24h】

Communication, advice exchange and job satisfaction of nursing staff: a social network analyses of 35 long-term care units

机译:护理人员的沟通,建议交流和工作满意度:35个长期护理单位的社交网络分析

获取原文
           

摘要

Background The behaviour of individuals is affected by the social networks in which they are embedded. Networks are also important for the diffusion of information and the influence of employees in organisations. Yet, at the moment little is known about the social networks of nursing staff in healthcare settings. This is the first study that investigates informal communication and advice networks of nursing staff in long-term care. We examine the structure of the networks, how they are related to the size of units and characteristics of nursing staff, and their relationship with job satisfaction. Methods We collected social network data of 380 nursing staff of 35 units in group projects and psychogeriatric units in nursing homes and residential homes in the Netherlands. Communication and advice networks were analyzed in a social network application (UCINET), focusing on the number of contacts (density) between nursing staff on the units. We then studied the correlation between the density of networks, size of the units and characteristics of nursing staff. We used multilevel analyses to investigate the relationship between social networks and job satisfaction of nursing staff, taking characteristics of units and nursing staff into account. Results Both communication and advice networks were negatively related to the number of residents and the number of nursing staff of the units. Communication and advice networks were more dense when more staff worked part-time. Furthermore, density of communication networks was positively related to the age of nursing staff of the units. Multilevel analyses showed that job satisfaction differed significantly between individual staff members and units and was influenced by the number of nursing staff of the units. However, this relationship disappeared when density of communication networks was added to the model. Conclusions Overall, communication and advice networks of nursing staff in long-term care are relatively dense. This fits with the high level of cooperation that is needed to provide good care to residents. Social networks are more dense in small units and are also shaped by characteristics of staff members. The results furthermore show that communication networks are important for staff's job satisfaction.
机译:背景技术个人的行为会受到其所嵌入的社交网络的影响。网络对于信息的传播和员工在组织中的影响力也很重要。然而,目前对医疗机构中护理人员的社交网络知之甚少。这是首次研究长期护理中护理人员的非正式沟通和咨询网络的研究。我们研究了网络的结构,它们与单位规模和护理人员特征之间的关系,以及它们与工作满意度的关系。方法我们收集了荷兰项目中35个单位的380个护理项目的社会网络数据,这些项目分别在团体项目中和精神病学部门中。在社交网络应用程序(UCINET)中分析了沟通和建议网络,重点关注单位上护理人员之间的联系数量(密度)。然后,我们研究了网络密度,单位规模和护理人员特征之间的相关性。我们使用多层次分析法,考虑到单位和护理人员的特征,研究社交网络与护理人员工作满意度之间的关系。结果交流和咨询网络均与单位人数和护理人员数量呈负相关。当更多的员工兼职时,沟通和建议网络更加密集。此外,通信网络的密度与单位护理人员的年龄成正比。多层次分析显示,工作满意度在各个员工和单位之间存在显着差异,并且受单位护理人员数量的影响。但是,当将通信网络的密度添加到模型中时,这种关系消失了。结论总体而言,长期护理中护理人员的沟通和咨询网络相对密集。这符合为居民提供良好护理所需要的高水平合作。社交网络在较小的单位中更为密集,并且也受到员工特征的影响。结果还表明,沟通网络对于员工的工作满意度很重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号