基于情绪智力模型的腹膜透析患者护理干预方案的构建及实施
Construction and implementation of a nursing intervention program for peritoneal dialysis patients based on the emotional intelligence model
刁渴珂 1单岩 1黄艺嘉 1张延军 1张璐珂 1郭丁硕 1李争艳2
作者信息
- 1. 郑州大学护理与健康学院(河南 郑州,450001)
- 2. 郑州大学第一附属医院肾脏内科
- 折叠
摘要
目的 基于情绪智力模型构建腹膜透析患者护理干预方案并探讨其实施效果.方法 将收治的腹膜透析患者按病区分为干预组和对照组,每组35例.对照组实施常规护理,干预组在常规护理干预基础上实施基于情绪智力模型的护理干预方案,每周干预1次,持续7周.干预前后评价两组患者情绪智力、社会疏离、领悟社会支持得分.结果 干预组32例,对照组33例完成全程研究.干预后干预组情绪智力和领悟社会支持得分显著高于对照组,社会疏离得分显著低于对照组(均P＜0.05).结论 基于情绪智力模型的护理干预可提高腹膜透析患者情绪智力,缓解社会疏离,提升其领悟社会支持水平,有利于提升其身心健康.
Abstract
Objective To construct a nursing intervention programme for peritoneal dialysis patients based on the emotional intelli-gence model,and explore its application effects.Methods The admitted peritoneal dialysis patients were divided into an intervention group and a control group by ward,with 35 cases in each group.The control group implemented routine nursing care,and the in-tervention group additionally received the nursing intervention program based on the emotional intelligence model,intervening once a week for 7 weeks.Emotional intelligence,social alienation,and perceived social support scores were evaluated before and after the intervention in both groups.Results Thirty two cases in the intervention group and 33 cases in the control group completed the study.The scores of emotional intelligence,and perceived social support were significantly higher,and the score of social aliena-tion was significantly lower in the intervention group than in the control group after the intervention(all P＜0.05).Conclusion The nursing intervention program based on the emotional intelligence model can improve peritoneal dialysis patients'emotional in-telligence,alleviate social alienation,and enhance perceived social support,which is conducive to enhancing their physical and men-tal health.
关键词
腹膜透析/情绪智力/社会疏离/领悟社会支持/身心健康/护理干预Key words
peritoneal dialysis/emotional intelligence/social isolation/perceived social support/physical and mental health/nursing interventions引用本文复制引用
基金项目
河南省医学科技攻关计划省部共建项目(SBGJ2018053)
出版年
2024
NETL
NSTL
万方数据