Lin Xiaoyuan, Xie Haidan, Chen Ziqing, Zhao Qi, Zhou Xiaozhou
Department of Nursing, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
School of Nursing, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Front Psychol. 2024 Nov 20;15:1403919. doi: 10.3389/fpsyg.2024.1403919. eCollection 2024.
This study aimed to construct a network analysis model for benefit finding (BF) and caregiving abilities to clarify the interrelationships and mutual influences among different dimensions and propose nursing strategies.
Convenience sampling was used to select 272 family caregivers of patients with lung cancer admitted to a tertiary hospital in Guangzhou City, China, from April 2023 to November 2023. Socio-demographic and disease characteristics questionnaire, the revised BF Scale, and the Family Caregiver Task Inventory (FCTI) were used for data collection. The R software was used to construct networks for BF and caregiving abilities, and network analysis methods were employed to identify network characteristics, core nodes, and bridge nodes.
In the overall network, the social relationship dimension (rs = 3.04) exhibited the highest strength centrality index, followed by the family relationship dimension (rs = 2.94). In addition, the social relationship dimension (rbs = 0.30) had the highest bridge strength centrality index, followed by the dimension of addressing personal emotional needs (rbs = 0.26).
This study provides a new perspective on exploring the underlying mechanisms of interaction among different dimensions of BF and caregiving abilities in family caregivers of patients with lung cancer using network analysis. The findings suggest that healthcare professionals can improve family caregivers' social relationships, family relationships and address emotion regulation to enhance BF and caregiving abilities. Specific nursing strategies are proposed, offering new intervention targets for enhancing BF and caregiving abilities among family caregivers of patients with lung cancer.
本研究旨在构建一个关于获益发现（BF）和照护能力的网络分析模型，以阐明不同维度之间的相互关系和相互影响，并提出护理策略。
采用便利抽样法，选取2023年4月至2023年11月在中国广州市一家三级医院住院的肺癌患者的272名家庭照护者。使用社会人口学和疾病特征问卷、修订后的BF量表以及家庭照护者任务清单（FCTI）进行数据收集。运用R软件构建BF和照护能力的网络，并采用网络分析方法识别网络特征、核心节点和桥梁节点。
在整体网络中，社会关系维度（rs = 3.04）的强度中心性指数最高，其次是家庭关系维度（rs = 2.94）。此外，社会关系维度（rbs = 0.30）具有最高的桥梁强度中心性指数，其次是满足个人情感需求维度（rbs = 0.26）。
本研究为运用网络分析探索肺癌患者家庭照护者BF和照护能力不同维度之间相互作用的潜在机制提供了新视角。研究结果表明，医护人员可以改善家庭照护者的社会关系、家庭关系并关注情绪调节，以提高BF和照护能力。提出了具体的护理策略，为提高肺癌患者家庭照护者的BF和照护能力提供了新的干预靶点。
