居家乳腺癌化疗病人核心症状及影响因素OA北大核心CSTPCD

Objective:To construct a symptom network based on complex network analysis for breast cancer in stay-at-home period after chemotherapy,and to identify the core symptom and the influencing factors,so as to provide a basis for constructing an accurate symptom management plan.Methods:The M.D.Anderson Symptom Inventory-Chinese version was used to investigate the occurrence of symptoms in 478 breast cancer patients who were discharged from eight hospitals in Hunan province after chemotherapy and were in stay-at-home period.Symptom networks were constructed using R language and explored for strength,tight centrality and mediated centrality based on Spearman correlation and the Fruchterman-Reingold algorithm.Binary Logistic regression analysis was used to identify influencing factors.Results:Symptom network analysis revealed that the core symptom of breast cancer in stay-at-home period after chemotherapy was fatigue;binary Logistic regression analysis revealed that surgery,present residence,and chemotherapy cycle were influenting factors.Conclusion:Fatigue is the core symptom of breast cancer in stay-at-home period after chemotherapy.It is recommended that health care professionals should strengthen health education before patients are discharged from hospital,and instruct patients to report and deal with their symptoms actively to improve their quality of life in stay-at-home period.