免疫检查点抑制剂治疗的癌症患者自我管理的潜在分析及其与生活质量差异的关联

IF 2.4 3区医学 Q1 NURSING

Asia-Pacific Journal of Oncology Nursing Pub Date : 2025-03-13 DOI:10.1016/j.apjon.2025.100687

Ruiqi Lu , Zhihui Yang , Jingxia Miao , Qian Xu , Lili Zhang

{"title":"免疫检查点抑制剂治疗的癌症患者自我管理的潜在分析及其与生活质量差异的关联","authors":"Ruiqi Lu , Zhihui Yang , Jingxia Miao , Qian Xu , Lili Zhang","doi":"10.1016/j.apjon.2025.100687","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to explore latent profiles of self-management ability in patients with cancer treated with immune checkpoint inhibitors, analyze each subgroup's characteristics, and determine the relationship between self-management and quality of life.</div></div><div><h3>Methods</h3><div>This cross-sectional study included 393 patients treated with immune checkpoint inhibitors. The participants completed questionnaires containing sociodemographic information, the Functional Assessment of Cancer Therapy-Immune Checkpoint Modulator (FACT-ICM), the Cancer Patient Self-management Evaluation Scale, and the Medical Coping Modes Questionnaire. Latent profile analysis was used to examine potential latent groups of self-management. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile. Kruskal-Wallis H-rank sum test was used to explore the relationships between self-management profiles and quality of life.</div></div><div><h3>Results</h3><div>The self-management abilities of the patients treated with immune checkpoint inhibitors were grouped into three latent profiles: “low self-management” (16.8%), “average self-management-avoidance of information” (44.3%), and “high self-management” (38.9%). The coping modes, educational levels, medical insurances, age, monthly family income per capita, and communication styles with health care professionals post-discharge significantly influenced the distribution of self-management. There were significant differences in the FACT-ICM scores across all three groups, except for the emotional well-being dimension.</div></div><div><h3>Conclusions</h3><div>The patients with cancer treated with immune checkpoint inhibitors exhibit three distinct self-management profiles. To enhance patients' quality of life, healthcare professionals should develop targeted self-management strategies focusing on information management and communication between patients and healthcare providers.</div></div>","PeriodicalId":8569,"journal":{"name":"Asia-Pacific Journal of Oncology Nursing","volume":"12 ","pages":"Article 100687"},"PeriodicalIF":2.4000,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Latent profile analysis of self-management and its association with quality of life differences in patients with cancer treated with immune checkpoint inhibitors\",\"authors\":\"Ruiqi Lu , Zhihui Yang , Jingxia Miao , Qian Xu , Lili Zhang\",\"doi\":\"10.1016/j.apjon.2025.100687\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>This study aimed to explore latent profiles of self-management ability in patients with cancer treated with immune checkpoint inhibitors, analyze each subgroup's characteristics, and determine the relationship between self-management and quality of life.</div></div><div><h3>Methods</h3><div>This cross-sectional study included 393 patients treated with immune checkpoint inhibitors. The participants completed questionnaires containing sociodemographic information, the Functional Assessment of Cancer Therapy-Immune Checkpoint Modulator (FACT-ICM), the Cancer Patient Self-management Evaluation Scale, and the Medical Coping Modes Questionnaire. Latent profile analysis was used to examine potential latent groups of self-management. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile. Kruskal-Wallis H-rank sum test was used to explore the relationships between self-management profiles and quality of life.</div></div><div><h3>Results</h3><div>The self-management abilities of the patients treated with immune checkpoint inhibitors were grouped into three latent profiles: “low self-management” (16.8%), “average self-management-avoidance of information” (44.3%), and “high self-management” (38.9%). The coping modes, educational levels, medical insurances, age, monthly family income per capita, and communication styles with health care professionals post-discharge significantly influenced the distribution of self-management. There were significant differences in the FACT-ICM scores across all three groups, except for the emotional well-being dimension.</div></div><div><h3>Conclusions</h3><div>The patients with cancer treated with immune checkpoint inhibitors exhibit three distinct self-management profiles. To enhance patients' quality of life, healthcare professionals should develop targeted self-management strategies focusing on information management and communication between patients and healthcare providers.</div></div>\",\"PeriodicalId\":8569,\"journal\":{\"name\":\"Asia-Pacific Journal of Oncology Nursing\",\"volume\":\"12 \",\"pages\":\"Article 100687\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia-Pacific Journal of Oncology Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2347562525000356\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Journal of Oncology Nursing","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2347562525000356","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}

引用次数: 0

摘要

目的探讨接受免疫检查点抑制剂治疗的癌症患者自我管理能力的潜在特征，分析每个亚组的特征，并确定自我管理与生活质量的关系。方法本横断面研究纳入393例接受免疫检查点抑制剂治疗的患者。参与者完成社会人口学信息问卷、肿瘤治疗-免疫检查点调节剂功能评估（FACT-ICM）问卷、癌症患者自我管理评估量表和医疗应对方式问卷。使用潜在剖面分析来检查潜在的自我管理潜在群体。采用多元逻辑回归分析每个剖面的社会人口学变量。采用Kruskal-Wallis h秩和检验探讨自我管理概况与生活质量的关系。结果免疫检查点抑制剂治疗患者的自我管理能力分为“低自我管理”（16.8%）、“平均自我管理-回避信息”（44.3%）和“高自我管理”（38.9%）3个潜在特征。应对方式、受教育程度、医疗保险、年龄、家庭人均月收入、出院后与医护人员的沟通方式对自我管理的分布有显著影响。除了情绪健康维度外，所有三组的FACT-ICM得分都有显著差异。结论接受免疫检查点抑制剂治疗的癌症患者表现出三种不同的自我管理特征。为了提高患者的生活质量，医疗保健专业人员应制定有针对性的自我管理策略，重点关注患者与医疗保健提供者之间的信息管理和沟通。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Latent profile analysis of self-management and its association with quality of life differences in patients with cancer treated with immune checkpoint inhibitors

Objective

This study aimed to explore latent profiles of self-management ability in patients with cancer treated with immune checkpoint inhibitors, analyze each subgroup's characteristics, and determine the relationship between self-management and quality of life.

Methods

This cross-sectional study included 393 patients treated with immune checkpoint inhibitors. The participants completed questionnaires containing sociodemographic information, the Functional Assessment of Cancer Therapy-Immune Checkpoint Modulator (FACT-ICM), the Cancer Patient Self-management Evaluation Scale, and the Medical Coping Modes Questionnaire. Latent profile analysis was used to examine potential latent groups of self-management. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile. Kruskal-Wallis H-rank sum test was used to explore the relationships between self-management profiles and quality of life.

Results

The self-management abilities of the patients treated with immune checkpoint inhibitors were grouped into three latent profiles: “low self-management” (16.8%), “average self-management-avoidance of information” (44.3%), and “high self-management” (38.9%). The coping modes, educational levels, medical insurances, age, monthly family income per capita, and communication styles with health care professionals post-discharge significantly influenced the distribution of self-management. There were significant differences in the FACT-ICM scores across all three groups, except for the emotional well-being dimension.

Conclusions

The patients with cancer treated with immune checkpoint inhibitors exhibit three distinct self-management profiles. To enhance patients' quality of life, healthcare professionals should develop targeted self-management strategies focusing on information management and communication between patients and healthcare providers.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊