循证护理用于老年2型糖尿病患者护理效果分析
Effect of Evidence-based Nursing in Elderly Patients with Type 2 Diabetes
汤丽娟 1马毓霞 1邵聿蕙2
作者信息
- 1. 静安区中医院老年科,上海 200040
- 2. 静安区中医院护理部,上海 200040
- 折叠
摘要
目的 探讨循证护理对改善老年2型糖尿病患者预后的应用效果.方法 随机选取2023年3-8月静安区中医院收治的80例老年2型糖尿病患者为研究对象,基于随机数表法分为对照组和观察组.对照组纳入40例实行常规护理,观察组纳入40例实行循证护理.比较两组的负性情绪、自我护理能力.结果 干预后,观察组焦虑自评量表评分(44.92±3.91)分、抑郁自评量表评分(44.59±3.33)分低于对照组(47.41±3.63)分、(47.39±4.82)分,自我护理能力测定量表评分(132.25±12.25)分高于对照组(125.14±10.78)分,差异有统计学意义(t=2.951、3.022、2.407,P均<0.05).结论 老年2型糖尿病患者应用循证护理模式,有利于消除患者负性情绪,并增强其自我护理能力,从而实现稳定、理想的血糖控制效果,减少相关并发症的出现.
Abstract
Objective To explore the effect of evidence-based nursing on improving the prognosis of elderly patients with type 2 diabetes.Methods Eighty elderly patients with type 2 diabetes admitted to Jing'an District Hospital of Tra-ditional Chinese Medicine from March to August 2023 were randomly selected as the study objects,and were divided into control group and observation group based on the random number table method.The control group included forty cases for routine nursing,and the observation group included forty cases for evidence-based nursing.The negative emotions and self-care ability of the two groups were compared.Results After the intervention,self-rating anxiety scale(44.92±3.91)points and self-rating depression scale(44.59±3.33)points of the observation group were lower than those of the control group(47.41±3.63)points and(47.39±4.82)points,and self-care ability scale(132.25±12.25)points were higher than those of the control group(125.14±10.78)points,and the differences were statistically significant(t=2.951,3.022,2.407,all P<0.05).Conclusion The application of evidence-based nursing model in el-derly patients with type 2 diabetes is conducive to eliminating negative emotions and enhancing their self-care ability,so as to achieve stable and ideal blood glucose control effect and reduce the occurrence of related complications.
关键词
循证护理/2型糖尿病/护理效果/并发症发生率/负性情绪Key words
Evidence-based nursing/Type 2 diabetes/Nursing effect/Complication rate/Negative emotion引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据