Latent profile analysis of self-management and its association with quality of life differences in patients with cancer treated with immune checkpoint inhibitors.
단면연구
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
393 patients treated with immune checkpoint inhibitors.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[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.
[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 deter
- 연구 설계 cross-sectional
APA
Lu R, Yang Z, et al. (2025). Latent profile analysis of self-management and its association with quality of life differences in patients with cancer treated with immune checkpoint inhibitors.. Asia-Pacific journal of oncology nursing, 12, 100687. https://doi.org/10.1016/j.apjon.2025.100687
MLA
Lu R, et al.. "Latent profile analysis of self-management and its association with quality of life differences in patients with cancer treated with immune checkpoint inhibitors.." Asia-Pacific journal of oncology nursing, vol. 12, 2025, pp. 100687.
PMID
40271525 ↗
Abstract 한글 요약
[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.
[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.
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