胰腺癌患者财务毒性轨迹的预测因素:潜在类别增长分析

IF 2.9 2区 医学 Q2 ONCOLOGY
Cancer Medicine Pub Date : 2025-05-04 DOI:10.1002/cam4.70875
Li Xiaoxuan, Zhang Shuo, Li Shanshan, Yu Mengxia, Yao Tianying, Shen Yuxin, Li Jiang, Chen Mingxia
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引用次数: 0

摘要

胰腺癌患者在不同治疗阶段面临不同的医疗费用,导致其财务毒性发生动态变化。纵向数据收集是必要的,以表征这些金融毒性变化的轨迹。目的探讨胰腺癌患者财务毒性的潜在轨迹及影响因素。设计根据STROBE检查表进行前瞻性观察性研究。从2022年8月到2023年8月,我们对江苏省三家医院的胰腺癌住院患者进行了数据收集。主要成果和措施。采用COST量表在入院时(T0)、出院时(T1)、出院后3个月(T2)和出院后6个月(T3)四个时间点调查财务毒性。利用潜在增长模型对金融毒性的发展轨迹进行分类,并探讨其影响因素。结果胰腺癌患者的金融毒性轨迹划分为三类:高风险金融毒性稳定组(19.69%)、中等风险金融毒性稳定组(56.37%)和低风险金融毒性稳定组(23.94%)。Logistic回归分析显示,与低风险金融毒性稳定组相比,高风险金融毒性稳定组的主要影响因素是自我效能感和自付医疗费用总额。与低风险金融毒性稳定组相比,中等风险金融毒性稳定组受到自我效能感和家庭月总收入的影响。当比较中等风险-财务毒性稳定组与高风险-财务毒性稳定组时,诸如ACCI、就业状况、总自付医疗费用和到医疗机构的距离等因素变得重要。胰腺癌患者的财务毒性可分为三种不同的轨迹模式,每种模式均表现出显著的人群异质性。我们必须认识到金融毒性对胰腺癌患者的深远影响,并加强相关的预防和控制措施,以提高他们的生活质量和治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predictors of Financial Toxicity Trajectories in Patients With Pancreatic Cancer: A Latent Class Growth Analysis

Predictors of Financial Toxicity Trajectories in Patients With Pancreatic Cancer: A Latent Class Growth Analysis

Importance

Pancreatic cancer patients face varying medical expenses at different stages of treatment, resulting in dynamic changes in their financial toxicity. Longitudinal data collection is necessary to characterize the trajectory of these financial toxicity changes.

Objective

To Explore Potential Trajectories and Influencing Factors of Financial Toxicity among Pancreatic Cancer Patients.

Design

This was a prospective observational research study performed according to STROBE Checklist.

Setting and Participants

From August 2022 to August 2023, we conducted inpatient data collection from pancreatic cancer patients in three hospitals in Jiangsu Province.

Main Outcomes and Measures.

The COST scale was employed to investigate financial toxicity at four time points: upon admission (T0), at discharge (T1), 3 months post-discharge (T2), and 6 months post-discharge (T3). A latent growth model was utilized to classify the trajectories of financial toxicity and explore its influencing factors.

Results

The identification of financial toxicity trajectories among pancreatic cancer patients revealed three potential categories: a high-risk-financial toxicity stable group (19.69%), a moderate-risk-financial toxicity stable group (56.37%), and a low-risk-financial toxicity stable group (23.94%). Logistic regression analysis showed that, compared to the low-risk-financial toxicity stable group, the primary influencing factors for the high-risk-financial toxicity stable group were self-efficacy and total out-of-pocket medical expenses. In contrast to the low-risk-financial toxicity stable group, the moderate-risk-financial toxicity stable group was influenced by self-efficacy and total monthly household income. When comparing the moderate-risk-financial toxicity stable group to the high-risk-financial toxicity stable group, factors such as ACCI, employment status, total out-of-pocket medical expenses, and distance to healthcare facilities emerged as significant.

Conclusions and Relevance

The financial toxicity among pancreatic cancer patients has been categorized into three distinct trajectory patterns, each exhibiting significant population heterogeneity. It is imperative that we acknowledge the profound impact of financial toxicity on pancreatic cancer patients and strengthen relevant preventive and control measures to enhance their quality of life and therapeutic outcomes.

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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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