Caregivers and Families of Critically Ill Patients.
Caregivers and Families of Critically Ill Patients.
复制标题
危重病人的护理人员和家属。
DOI：
10.1056/nejmc1608225
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Feske,StevenK
中科院分区：
文献类型：
--
作者：
Dhand,Amar;Feske,StevenK
致编辑：卡梅隆和他的同事们的研究（5月12日的一期）对危重疾病后的结果进行了扩展。作者发现，许多护理人员都有持续的抑郁症状，这表明疾病的影响超出了指数患者。这篇文章和其他一些文章强调，有必要将患者的观点从一个孤独的人物转变为一个融入社会网络的人。个人网络方法提供了这样做的方法。这种方法也被称为自我中心网络，它确定了焦点人物周围的各种人，并阐述了这些关系的结构和特征。个人网络方法解释了患者是如何处于一个复杂的“社会连接体”中，这个“社会连接体”是由强弱关系、亲属关系和非亲属关系以及具有不同健康习惯的人组成的。它显示了突发重症、中风和心肌梗死等健康冲击所产生的网络涟漪；相反，网络特征可能会影响结果。我们期待未来的研究采用网络方法，以更好地了解结果，并提出可持续网络恢复的目标。
To the Editor: The study by Cameron and colleagues (May 12 issue) 1 takes an expanded view of outcomes after critical illness. The authors found that many caregivers have persistent depressive symptoms, which reveal the reverberations of illness beyond the index patient. This article and others2 highlight the need to revise the view of the patient from a solitary figure to a person embedded in a social network. A personal network method offers the means to do this. Also called egocentric networks, this approach identifies the various persons around a focal person and elaborates the structure and characteristics of the relationships. 3 The personal network method explicates how a patient is situated in a complex “social connectome” that is made of strong and weak relationships, kin and non-kin, and persons with varied health habits. It shows the ripples in the network that occur from health shocks such as sudden critical illness, stroke, and myocardial infarction; conversely, network characteristics probably affect outcomes. We look forward to future studies that take a network approach to better understand outcomes and suggest targets for sustainable network recovery.