摘要
目的:探讨以症状群为基础的模式结合心理诱导在卵巢癌患者中的应用效果。方法:选择2018年1月-2019年3月间治疗的90例卵巢癌患者为调查对象,应用随机数字表法分为观察组和对照组各45例。观察组给予以症状群为基础的模式结合心理诱导模式干预,对照组行常规护理。于入院后第1d、出院前1d对患者进行焦虑、抑郁情绪,失眠、疼痛、疲乏症状进行评估,同时采用卵巢癌治疗功能评估量表(FACT-O)评价患者的生活质量。结果:出院前1d,两组患者焦虑自评量表(SAS)、抑郁自评量表(SDA)量表得分均降低,且观察组得分低于对照组(P<0.05);出院前1d,观察组患者疲乏、疼痛及睡眠障碍评分低于对照组(P<0.05);出院前1d,观察组生活质量各项目评分均高于对照组及入院后第1d(P<0.05)。结论:基于症状群为基础的模式结合心理诱导可改善卵巢癌患者的焦虑、抑郁情绪,减轻疲乏、疼痛及睡眠障碍程度,提高患者的生活质量。
Objective:To explore the effect of symptom group based model combined with psychological induction in patients with ovarian cancer.Methods:90 patients with ovarian cancer treated from January,2018 to March,2019 were selected as the objects of investigation,and randomly divided into the experimental group and the control group,with 45 cases in each group.The experimental group was given symptom group based model combined with psychological induction model intervention,and the control group was given routine nursing.Anxiety,depression,insomnia,pain and fatigue were assessed on the first day after admission and the first day before discharge.Meanwhile,the quality of life of the patients was assessed by the FACT-O.Results:On the day before discharge,the scores of SAS and SDA in the two groups were lower than those in the control group(P<0.05);on the day before discharge,the scores of fatigue,pain and sleep disorder in the test group were lower than those in the control group(P<0.05);on the day before discharge,the scores of quality of life in the test group were higher than those in the control group and the day after admission(P<0.05).Conclusion:Symptom group based model combined with psychological induction can improve th anxiety and depression of patients with ovarian cancer,reduce fatigue,pain and sleep disorders,and improve the quality of life of patients.
作者
石晓景
SHI Xiao-jing(Department of Oncology,The First Affiliated Hospital of Henan University of Science and Technology,Luoyang,Henan,471003,China)
出处
《黑龙江医学》
2021年第1期39-41,共3页
Heilongjiang Medical Journal
关键词
症状群
心理诱导
焦虑抑郁
生活质量
Symptom group
Psychological induction
Anxiety and depression
Quality of life