A Model of Death Preparedness in Patients With Advanced Cancer: A Grounded Theory Study

准备 扎根理论 医学 检查表 医疗保健 编码(社会科学) 定性研究 缓和医疗 护理部 家庭医学 心理学 社会学 统计 经济 经济增长 认知心理学 社会科学 法学 数学 政治学
作者
Xi Zhang,Tieying Zeng,Meizhen Zhao,Yingying Su,Xiaohong Liu,Ye Chen
出处
期刊:Journal of Advanced Nursing [Wiley]
被引量:4
标识
DOI:10.1111/jan.16669
摘要

ABSTRACT Background Death preparedness in patients with advanced cancer is an important prerequisite for improving the quality of death. However, there are insufficient studies on death preparedness in patients with advanced cancer, and the level of death preparedness needs to be further improved. Aim To develop a model of death preparedness in patients with advanced cancer. Methods A qualitative approach with grounded theory was used. Data were collected between February 2024 and July 2024 in the oncology wards of the two general hospitals in Wuhan. We recruited 12 patients, 11 family members, 16 nurses and 4 doctors for semistructured interviews. Data analysis included open coding, axial coding and selective coding. The study is reported using the COREQ checklist. Results Death preparedness in patients with advanced cancer is a spiralling process whose core components include death awareness, emotional response, hospice programme and reflexive care, and multiple personal, interpersonal and social factors influence it. Conclusion A model of death preparedness in advanced cancer patients was constructed through rooted theory, revealing its formation and change process. This model deepens the understanding of death preparedness and helps healthcare providers identify patients' preparedness status in advance to provide more targeted support and care. This personalised care enhances patients' quality of life and reduces the psychological burden on them and their families, achieving more comprehensive and humanised end‐of‐life care. Impact To better understand patients' death preparedness, healthcare providers should focus on patients' cognitive, emotional, behavioural and social needs in the process of death preparation from a multifactorial perspective, and provide targeted support and assistance. No Patient or Public Contributions were included in this paper.
最长约 10秒,即可获得该文献文件

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
nannan发布了新的文献求助10
刚刚
1秒前
传奇3应助HaHa采纳,获得10
1秒前
caijinwang完成签到,获得积分20
2秒前
量子星尘发布了新的文献求助10
2秒前
2秒前
2秒前
3秒前
3秒前
从容迎夏发布了新的文献求助10
3秒前
13发布了新的文献求助10
3秒前
小帅完成签到,获得积分10
3秒前
kohu发布了新的文献求助30
4秒前
4秒前
天黑黑发布了新的文献求助10
4秒前
思源应助鲸鱼采纳,获得10
4秒前
4秒前
我是老大应助zyzy1996采纳,获得10
4秒前
5秒前
5秒前
bing完成签到 ,获得积分10
5秒前
5秒前
6秒前
yejian完成签到,获得积分10
6秒前
冷酷的天晴完成签到 ,获得积分10
6秒前
张亚宁完成签到,获得积分20
6秒前
吃不下发布了新的文献求助10
6秒前
6秒前
6秒前
大模型应助小宇宙ZKYYS采纳,获得10
7秒前
7秒前
7秒前
滚滚完成签到,获得积分10
7秒前
8秒前
8秒前
8秒前
8秒前
8秒前
582697438完成签到,获得积分20
9秒前
dudu发布了新的文献求助10
9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
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Exploring Nostalgia 500
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
Advanced Memory Technology: Functional Materials and Devices 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5667995
求助须知:如何正确求助?哪些是违规求助? 4888874
关于积分的说明 15122780
捐赠科研通 4826840
什么是DOI,文献DOI怎么找? 2584376
邀请新用户注册赠送积分活动 1538211
关于科研通互助平台的介绍 1496526