Zhang Yue, Zhu Kaili, Li Siyu, Wang Xiaoqing, Xu Rui, Cao Yiqin, Ye Hongfang, Duan Peibei
Department of Nursing, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China.
Asia Pac J Oncol Nurs. 2024 Nov 28;12:100626. doi: 10.1016/j.apjon.2024.100626. eCollection 2025 Dec.
This study aimed to investigate spousal information concealment in patients with cancer and analyse its influencing factors.
Between April and July 2024, 371 spouses of patients with cancer were surveyed using the Demographic and Clinical Characteristics Questionnaire, the Information Concealment Scale for Caregivers, Fear of Progression Questionnaires for Partners, and the Medical Coping Modes Questionnaire. Influencing factors were analysed using latent profile analysis.
Based on the degree of information concealment, spouses of patients with cancer were categorised into three subgroups: the low concealment - low control (19.14%), medium concealment (50.40%), and high concealment - high dissimulation group (30.46%). Multivariate logistic regression analysis revealed that sex, age, educational level, disease stage, fear of disease progression, and medical coping modes were the influencing factors of the information concealment subgroups (<0.05).
Information concealment among spouses of patients with cancer has individualized characteristics. Analysing the demographics, disease features, and psychological conditions of spouses in different information concealment subgroups can help medical staff formulate more targeted and personalized interventions and reduce the degree of information concealment among patients' spouses.
本研究旨在调查癌症患者配偶的信息隐瞒情况,并分析其影响因素。
2024年4月至7月期间,使用人口统计学和临床特征问卷、照顾者信息隐瞒量表、伴侣疾病进展恐惧问卷以及医学应对方式问卷,对371名癌症患者的配偶进行了调查。采用潜在剖面分析对影响因素进行分析。
根据信息隐瞒程度,癌症患者配偶被分为三个亚组:低隐瞒 - 低控制组(19.14%)、中等隐瞒组(50.40%)和高隐瞒 - 高掩饰组(30.46%)。多因素logistic回归分析显示,性别、年龄、教育程度、疾病分期、对疾病进展的恐惧以及医学应对方式是信息隐瞒亚组的影响因素(<0.05)。
癌症患者配偶的信息隐瞒具有个体化特征。分析不同信息隐瞒亚组中配偶的人口统计学、疾病特征和心理状况,有助于医护人员制定更具针对性和个性化的干预措施,降低患者配偶的信息隐瞒程度。