医学
生活质量(医疗保健)
横断面研究
肺癌
星团(航天器)
心理干预
癌症
人口
探索性因素分析
物理疗法
临床心理学
内科学
心理测量学
精神科
环境卫生
病理
护理部
程序设计语言
计算机科学
作者
X. Yang,Jingcui Bai,Jinhuang Zhang,Yanli Wang,Zhao Huanping,Xuehua Zhu
摘要
AIM: The objective of this study was to identify symptom clusters in lung cancer patients receiving immunotherapy and explore their impact on the quality of life of patients. BACKGROUND: Immunotherapy is widely used in lung cancer; however, there is little understanding of symptom clusters and their impacts on the quality of life of this population. DESIGN: Cross-sectional study. METHODS: The survey contained the Memorial Symptom Assessment Scale (MSAS), Quality of Life Questionnaire-Lung Cancer 43 and a self-designed General Information Evaluation Form. Symptom clusters were identified using exploratory factor analysis (EFA) based on the symptom scores. Spearman correlation analysis was performed to evaluate the associations between each symptom cluster and the patients' quality of life. Multiple linear regression analysis was employed to examine the impact of the symptom clusters on quality of life. This study adhered to the STROBE guidelines. RESULTS: In total, 240 participants completed the survey. Five symptom clusters were identified and named according to their characteristics: emotional-related symptom cluster, lung cancer-related symptom cluster, physical symptom cluster, skin symptom cluster and neural symptom cluster. All symptom clusters, except for the neural symptom cluster, had a significantly detrimental impact on patient quality of life. CONCLUSION: Lung cancer patients undergoing immunotherapy experience a range of symptoms, which can be categorized into five clusters. These symptom clusters have a negative impact on patients' quality of life. Future research should focus on developing interventions for each symptom cluster and their influencing factors. PATIENT OR PUBLIC CONTRIBUTION: In the data collection phase, lung cancer patients undergoing immunotherapy were recruited to participate in the survey.
科研通智能强力驱动
Strongly Powered by AbleSci AI