期刊
ONCOLOGY NURSING FORUM
卷 48, 期 4, 页码 441-452出版社
ONCOLOGY NURSING SOC
DOI: 10.1188/21.ONF.441-452
关键词
symptoms; symptom clusters; ovarian neoplasms; uterine neoplasms; chemotherapy
资金
- National Cancer Institute [CA134900]
- American Cancer Society postdoctoral fellowship [133063-PF19-102-01-CPPB]
- Gordon and Betty Moore Foundation Society [GBMF7853]
Patients with gynecologic cancer experience multiple co-occurring symptoms, with lack of energy, hair loss, and I don't look like myself being the most common, severe, and distressing symptoms. Symptom clusters across hormonal, respiratory, and weight change domains were identified, highlighting the need for further research on how these clusters change over time and their underlying mechanisms.
OBJECTIVES: To describe ratings of symptom occurrence, severity, and distress for 38 symptoms and to identify and compare the number and types of symptom clusters identified using these ratings. Although patients with gynecologic cancer experience multiple co-occurring symptoms, little is known about how these symptoms cluster together. SAMPLE & SETTING: Eligible patients (N = 232) had gynecologic cancer and were receiving chemotherapy. METHODS & VARIABLES: Symptoms were assessed using the Memorial Symptom Assessment Scale. Symptom clusters were identified through exploratory factor analysis. Geomin-rotated factor loadings with absolute values of 0.3 or greater were considered meaningful. Factor solutions (i.e., symptom clusters) were assessed for simple structure and clinical relevance. RESULTS: Lack of energy, hair loss, and I don't look like myself were the most common, severe, and distressing symptoms. Hormonal, respiratory, and weight change clusters were identified across all three dimensions. IMPLICATIONS FOR NURSING: Research that explores how symptom clusters change over time and their underlying mechanisms is warranted.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据