英文摘要 |
Patients with chronic diseases often experience multiple symptoms secondary to either diseases themselves and/or a variety of treatments. Multiple existing symptoms usually affect one's wellbeing more than a single symptom does. In recent years, many scholars are devoted to advancing research on symptom clustering with a focus on cancer patients. This report focuses on the review of the concept of symptom cluster and the analysis of research methods. A symptom cluster is two or more related symptoms that exist simultaneously, although they may not be caused by the same etiology. Two research methods are adopted for symptom clusters. One research method is focusing on a particular identified group. The examiner assesses the subjects' symptom(s) with a measurement tool for multiple symptoms and then identifies different symptom clusters via statistics. The other research method is identifying a group of patients with the same symptom presentation. Currently, empirical studies show that a symptom, once occurring, often brings with it more symptoms. However, according to the definition of symptom cluster, the numbers of symptoms, their degrees of correlations, and disease etiologies cannot form a definite consensus. The knowledge of symptom cluster in clinical applications is still limited. Moreover, most research still focuses on the symptom cluster affecting cancer patients. This article describes the concept of symptom cluster and reminds clinicians to manage these symptoms with a broader perspective without ignoring the whole picture of symptoms. |