Factors influencing caring behaviour among registered nurses during the COVID‐19 pandemic in China: A qualitative study using the COM‐B framework

心理学 主题分析 护理部 大流行 心理干预 能力(人力资源) 定性研究 2019年冠状病毒病(COVID-19) 社会心理学 医学 社会学 社会科学 病理 传染病(医学专业) 疾病
作者
Lai Kun Tong,Mingxia Zhu,Si‐Chen Wang,Pak Leng Cheong,Iat‐Kio Van
出处
期刊:Journal of Nursing Management [Wiley]
卷期号:30 (8): 4071-4079 被引量:12
标识
DOI:10.1111/jonm.13855
摘要

The aim of this work is to explore the influencing factors of nurses' caring behaviour during the COVID-19 pandemic based on the Capability, Opportunity, Motivation as determinants of Behaviour (COM-B) theoretical framework.Nurse caring behaviour is vital to reduce and speed up the healing process of COVID-19 patients. It is important to understand the factors that influence caring behaviour among nurses during the COVID-19 pandemic. Research suggests that when it comes to understanding behaviour, using a theoretical framework is likely to be most effective, and the COM-B framework is a recommended approach.Semistructured interviews with 42 nurses working in 11 Chinese cities were conducted, and their verbatim statements were transcribed and analysed using thematic analysis. The results were mapped to COM-B framework.Ten key themes emerged: Capability (professional knowledge and skills, emotional intelligence, cross-cultural care competence); opportunity (resources, organizational culture, social culture); motivation (past experience, character, role, beliefs).Ten factors were found to influence nurses' caring behaviour. This study added two new influencing factors, social culture and past experiences, that further contributed to the understanding of nurses' care behaviours.Nurses' caring behaviour is influenced not only by themselves but also by institutions and society, so interventions aiming to improve their caring behaviour should consider these elements. The negative impact of the pandemic on capability factors that influence nurses' caring behaviour should be counteracted as soon as possible.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
上官若男应助Fourteen采纳,获得10
刚刚
xxx1234完成签到,获得积分10
1秒前
史若耘发布了新的文献求助10
1秒前
1秒前
温暖的台灯完成签到,获得积分10
1秒前
西瓜西瓜发布了新的文献求助10
2秒前
鳗鱼思雁完成签到,获得积分20
3秒前
3秒前
3秒前
ron发布了新的文献求助30
3秒前
牛牛完成签到,获得积分10
4秒前
NoMi完成签到,获得积分10
4秒前
4秒前
纪官瑞完成签到,获得积分20
5秒前
FashionBoy应助赶紧毕业走人采纳,获得10
5秒前
5秒前
七彩螺旋发布了新的文献求助10
5秒前
开放似狮发布了新的文献求助10
5秒前
所所应助火星上含芙采纳,获得10
5秒前
webmaster完成签到,获得积分10
6秒前
熊二完成签到,获得积分10
7秒前
9秒前
9秒前
研友_VZG7GZ应助科研通管家采纳,获得10
9秒前
隐形曼青应助科研通管家采纳,获得20
9秒前
在水一方应助科研通管家采纳,获得10
9秒前
科目三应助科研通管家采纳,获得10
9秒前
英俊的铭应助科研通管家采纳,获得10
9秒前
10秒前
领导范儿应助科研通管家采纳,获得10
10秒前
英俊的铭应助科研通管家采纳,获得10
10秒前
大模型应助科研通管家采纳,获得10
10秒前
顾矜应助科研通管家采纳,获得10
10秒前
悦耳白山应助科研通管家采纳,获得20
10秒前
华仔应助科研通管家采纳,获得10
10秒前
汉堡包应助科研通管家采纳,获得10
10秒前
安咯发布了新的文献求助20
10秒前
852应助科研通管家采纳,获得10
10秒前
在水一方应助科研通管家采纳,获得10
10秒前
思源应助科研通管家采纳,获得10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Resiliency Scale for Adolescents--Chinese Version 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7320163
求助须知:如何正确求助?哪些是违规求助? 8935944
关于积分的说明 18943671
捐赠科研通 6978784
什么是DOI,文献DOI怎么找? 3214492
关于科研通互助平台的介绍 2382360
邀请新用户注册赠送积分活动 2193571