Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, 45 Francis Street and at the Network Science Institute, Northeastern University, 177 Huntington Avenue, 11th Floor, Boston, Massachusetts 02115, USA.
Center for Public Health Systems Science, George Warren Brown School of Social Work, Washington University in St. Louis, Campus BOX 1196, One Brookings Drive, St. Louis, Missouri 63130, USA.
Nat Rev Neurol. 2016 Oct;12(10):605-12. doi: 10.1038/nrneurol.2016.119. Epub 2016 Sep 12.
Every patient is embedded in a social network of interpersonal connections that influence health outcomes. Neurologists routinely need to engage with a patient's family and friends due to the nature of the illness and its social sequelae. Social isolation is a potent determinant of poor health and neurobiological changes, and its effects can be comparable to those of traditional risk factors. It would seem reasonable, therefore, to map and follow the personal networks of neurology patients. This approach reveals influential people, their habits, and linkage patterns that could facilitate or limit health behaviours. Personal network information can be particularly valuable to enhance risk factor management, medication adherence, and functional recovery. Here, we propose an agenda for research and clinical practice that includes mapping the networks of patients with diverse neurological disorders, evaluating the impact of the networks on patient outcomes, and testing network interventions.
每个患者都嵌入在影响健康结果的人际关系网络中。由于疾病的性质及其社会后果,神经科医生通常需要与患者的家人和朋友接触。社会孤立是健康状况不佳和神经生物学变化的一个重要决定因素,其影响可与传统危险因素相媲美。因此,对神经科患者的个人网络进行映射和跟踪似乎是合理的。这种方法可以揭示有影响力的人、他们的习惯以及联系模式,这些模式可以促进或限制健康行为。个人网络信息对于增强危险因素管理、药物依从性和功能恢复特别有价值。在这里,我们提出了一个研究和临床实践的议程,包括绘制患有不同神经障碍的患者的网络、评估网络对患者结局的影响以及测试网络干预。