脑卒中患者症状群的研究进展

Research progress of symptom cluster in patients with stroke

脑卒中患者易形成症状群,如肢体活动障碍、吞咽障碍、睡眠障碍、疼痛、疲劳、癫痫、抑郁等,这些症状聚集成群,造成患者自理能力下降,生活质量降低,给社会、家庭及患者本人带来沉重负担。尽早对脑卒中患者实施症状评估及干预对提高患者的生活质量具有重要作用,也是当前慢性病护理研究领域的重点。本文回顾分析了国内外脑卒中患者症状群研究的现状与不足;介绍了脑卒中症状群的评估工具,介绍了各评估量表的开发学者、适用范围、条目数、信效度以及优缺点;介绍了脑卒中症状群的研究方法,包括探索性研究、验证性研究和网络分析,以及每种研究方法的概念以及统计学分析方法;介绍了脑卒中患者症状群的护理干预措施,包括中医护理技术干预、运动干预、远程护理干预,以期为医务人员快速识别脑卒中患者症状群及症状管理提供参考。

Stroke is easy to form symptom group,such as limb movement disorders,swallowing disorders,sleep disorders,pain,fatigue,epilepsy,depression and other symptoms due to disease factors,and these symptoms may gather into clusters,which may reduce the patient's self-care ability,lower the patient's quality of life,and bring heavy burdens to the society,family and the patient.Early assessment and intervention of stroke patients'symptoms play an important role in improving patients'quality of life,and are the focus of current research in the field of chronic disease care.This artiche reviewed and analyzed the proqress and deficiercy of the study on symptom group of stroke patients at home and abroad,and discuss the current progress and shortcomings;introduce the assessment tools of stroke symptom clusters,and describe the scholars of the development of the scales,the scope of application,the number of entries,the reliability and validity,and the strengths and weaknesses;introduce the research methods of the symptom clusters of stroke,including exploratory research,validation research,and network analysis,and elaborate the concepts and statistical analysis methods of each research method;and introduce the research methods of stroke symptom clusters,including exploratory research,validation research,and network analysis.and the nursing interventions for symptom clusters of stroke patients are introduced,including the interventions of traditional Chinese medicine nursing techniques,exercise interventions,telemedicine and other interventions.We hope to provide theoretical references for medical personnel to quickly recognize the symptom clusters of stroke patients and symptom management.