积极心理学视角下空巢慢性病共病老年人心理调适的体验
Experience of home dwelling empty-nested older patients adjusting to Multiple Chronic Conditions from the perspective of positive psychology
孙柳 1陈少华 2王莹 3王艳玲 1王凌云 4梁嘉贵 1刘均娥1
作者信息
- 1. 首都医科大学护理学院,100069 北京市
- 2. 福建医科大学护理学院
- 3. 中国人民大学国家发展与战略研究院
- 4. 北京市西城区德胜社区卫生服务中心
- 折叠
摘要
目的:探讨居家空巢老年人慢性病共病心理调适的体验,以期更好地提升老年人应对共病的能力.方法:采用描述性质性研究方法,对15 名空巢慢性病共病老年人进行半结构化深度访谈,使用Braun和Clarke的主题分析法进行资料分析.结果:基于积极心理学PERMA理论,形成 5 个主题:展现积极情绪,具有积极心理资本;投入生活,主动调适;获得家庭和社会支持,保持较好人际关系;寻找自我意义,实现自我价值;获得成就,达到积极生活状态.结论:医护人员在老年人共病管理时,需要重视其积极心理资本的开发,调动其主动调适的能力和采取适合的调适策略,重视社会支持提供,鼓励寻找自我意义,最终达到积极生活的状态.
Abstract
Objective:To explore the experience of home dwelling empty-nested older patients adjusting to Multiple Chronic Conditions(MCCs),and improve the coping ability of MCCs.Methods:A descriptive qualitative approach was conducted and a total of 15 home dwelling empty-nested older patients with MCCs were enrolled for semi-structural in-depth interviews.Braun and Clarke's thematic analysis method was used to analyze the data.Results:Based on the PERMA(Positive emotion,Engagement,Relationship,Meaning,Achievement),five themes were extracted:showing positive emotions and having positive psychological capital;engaging in life and taking the initiative to adjust;receiving family and social support and maintaining good interpersonal relationships;seeking self-meaning and realizing self-worth;achieving accomplishments and reaching a positive life.Conclusion:In the management of MCCs,health professionals should pay attention to develop positive psychological capital of home dwelling empty-nested older patients,mobilize their ability of active adjustment and adopt appropriate adjustment strategies,emphasize the support of family and society,encourage the search for the meaning of ego,and finally achieve a positive life.
关键词
空巢老年人/慢性病共病/心理调适/主题分析法/积极心理学Key words
empty-nested older adult/Multiple Chronic Conditions/psychological adjustment and adaptation/thematic analysis/positive psychology引用本文复制引用
基金项目
2023年度北京市社会科学基金项目(23RB007)
出版年
2024
NETL
NSTL
万方数据