IKAP理论支持下系统化护理干预在肺癌化疗患者中的应用
Application of Systematic Nursing Intervention Supported by IKAP Theory in Lung Cancer Patients with Chemotherapy
沈旻 1李修伟 1沈亚男 1周惠雅1
作者信息
- 1. 无锡市人民医院 江苏无锡 214000
- 折叠
摘要
目的:探讨知识-信念-行为(IKAP)理论支持下系统化护理干预在肺癌化疗患者中的应用方法及效果.方法:选取2020 年 1 月 1 日～2023 年 1 月 1 日 90 例肺癌化疗患者作为研究对象,按照随机分组法设置对照组和观察组各 45 例,对照组给予常规护理,观察组在此基础上实施IKAP理论支持下系统化护理干预;比较两组干预前后自我管理能力量表(Skills-SMas)、肺癌患者生命质量检测量表(EORTC QLQ)评分,干预后疼痛情况[采用疼痛数字评分法(NRS)].结果:干预后,两组Skills-SMas、EORTC QLQ评分高于干预前(P<0.05),且观察组高于对照组(P<0.05);观察组干预后疼痛情况较对照组更轻(P<0.05).结论:对肺癌化疗患者给予IKAP理论支持下系统化护理干预,可减轻疼痛程度,提高患者自我管理能力,改善生存质量.
Abstract
Objective:To explore the application method and effect of systematic nursing intervention supported by IKAP theory in lung cancer patients undergoing chemotherapy.Methods:90 lung cancer patients with chemotherapy from January 1,2020 to January 1,2023 were selected as the research objects.According to the random grouping method,they were divided into the control group and the observa-tion group,with 45 cases in each group.The routine nursing care was taken in the control group and the systematic nursing intervention supported by IKAP theory was provided in the observation group.The scores of Skills-SMas and EORTC QLQ were compared between the two groups before and after intervention,and the condition of pain(NRS)was compared after intervention.Results:After the intervention,the Skills-SMas and EORTC QLQ scores of the two groups were higher than those before the intervention(P<0.05),and the scores in the observation group were higher than the control group(P<0.05).The pain in the observation group was lighter than that in the control group after intervention(P<0.05).Conclusion:Systematic nursing intervention supported by IKAP theory for lung cancer patients with chemo-therapy can reduce the degree of pain,and improve the self-management ability and the quality of life of the patients.
关键词
肺癌/化疗/IKAP理论/系统化护理/自我管理/疼痛/生存质量Key words
Lung cancer/Chemotherapy/IKAP theory/Systematic nursing care/Self-management/Pain/Quality of life引用本文复制引用
出版年
2024
NETL
NSTL
万方数据