多学科诊疗延续性护理干预在胰腺癌术后免疫治疗患者中的应用效果
Effect of Multi-disciplinary Treatment Continuity of Care Intervention in Patients Undergoing Postoperative Immunotherapy for Pancreatic Cancer
何玮 1仝欢欢 1孟炎杰2
作者信息
- 1. 洛阳市中心医院肿瘤一区,洛阳 471000
- 2. 洛阳市中心医院血液内科,洛阳 471000
- 折叠
摘要
目的:探讨多学科诊疗(MDT)延续性护理干预在胰腺癌术后免疫治疗患者中的应用效果.方法:选取2019 年 1 月至 2024 年 1 月本院收治的 73 例胰腺癌患者作为研究对象.依据护理方案,将其分为观察组(n=40,予以MDT延续性护理)和对照组(n=33,予以常规护理).比较两组患者健康调查简表(SF-36)、疼痛视觉模拟量表(VAS)和焦虑自评量表(SAS)评分及不良反应发生率.结果:干预后,观察组患者SF-36 评分高于对照组,差异具有统计学意义(P＜0.05);观察组患者VAS、SAS评分以及不良反应总发生率低于对照组,差异具有统计学意义(P＜0.05).结论:MDT延续性护理干预在胰腺癌术后免疫治疗中可提高患者生活质量、缓解不良情绪、减轻疼痛以及降低不良反应发生率.
Abstract
Objective:To explore the effect of multi-disciplinary treatment(MDT)continuous nursing intervention in patients with postoperative immunotherapy for pancreatic cancer.Methods:A total of 73 patients with pancreatic cancer admitted to our hospital from January 2019 to January 2024 were enrolled in this study.According to the nursing plans,they were divided into observation group(n=40,received MDT continuous care)and control group(n=33,received routine care).The 36-item short form survey(SF-36),visual analogue scale(VAS),self-rating anxiety scale(SAS)scores and incidence of adverse reactions were compared between the two groups.Results:After intervention,the SF-36 scores of observation group were higher than those of control group,and the differences were statistically significant(P＜0.05);The VAS and SAS scores in observation group were lower than those of control group,and the differences were statistically significant(P＜0.05).The total incidence of adverse reactions in observation group was lower than that of control group,and the difference was statistically significant(P＜0.05).Conclusions:MDT continuous care intervention can improve quality of life,alleviate pain and adverse mood,reduce the incidence of adverse reactions in postoperative immunotherapy for pancreatic cancer.
关键词
多学科诊疗/延续性护理/胰腺癌/免疫治疗/疼痛Key words
Multi-disciplinary treatment/Continuity of care/Pancreatic cancer/Immunotherapy/Pain引用本文复制引用
出版年
2024
NETL
NSTL
万方数据