Foreword: symptom clusters.
Foreword: symptom clusters.
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前言：症状群。
DOI：
10.1097/jcn.0b013e3181d59e31
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Zimmerman,Lani
中科院分区：
文献类型：
--
作者：
Zimmerman,Lani
心脏事件和/或手术后的症状经历的特点是存在多种并发症状，可能对日常活动和生活质量产生负面影响。对症状之间以及症状与临床结果之间复杂关系的了解是有限的，特别是对于那些从心脏事件中恢复的人来说。尽管知道个体可能会经历多种并发症状，但大多数心脏病患者的症状研究只检查了个体症状。聚类分析由 Robert Choate Tryon 于 1935 年提出。如今，它是一种统计分析技术，广泛应用于医学、心理学、牙科和护理研究等许多领域。 1 聚类分析是一种统计数据分析工具，用于对受试者或症状或其他选定变量进行聚类。在护理领域，它已被用来识别在症状等选定变量上存在差异的患者亚群（患者群）。根据症状识别患者亚群在临床上很重要，因为它可用于根据症状特征制定护理干预措施或策略。例如，与症状等级低的患者相比，症状强度高的患者亚组可能需要不同的症状管理策略。与患者相反，症状聚类可用于识别哪些症状组合在一起，并且有助于为患者设计策略或干预措施。
Symptom experience following cardiac events and/or procedures is marked by the presence of multiple concurrent symptoms that may have a negative impact on daily activities and quality of life. Knowledge of the complex relationships between and among symptoms, as well as with clinical outcomes, is limited, especially for those recovering from cardiac events. Despite the knowledge that individuals are likely to experience multiple concurrent symptoms, most symptom research in cardiac patients has examined only individual symptoms.Cluster analysis was introduced by Robert Choate Tryon in 1935. Today, it is a statistical analysis technique being used in many areas such as medicine, psychology, dentistry, and nursing research. 1 Cluster analysis is a statistical data analysis tool that is used to cluster either subjects or symptoms or other selected variables. In nursing, it has been used to identify subpopulations of patients (patient clusters) that differ on selected variables such as symptoms. Identifying subpopulations of patients according to their symptoms is clinically important as it can be used to tailor nursing interventions or strategies based on the profile of symptoms. For example, subgroups of patients who have a high symptom intensity may need different symptom management strategies as compared with those patient profiles with low-intensity symptom ratings. Clustering of symptoms, as opposed to patients, can be used to identify which symptoms group together and is useful to design strategies or interventions for patients.