[1]庞华容,阴 骏,吕俭霞,等.脑胶质瘤患者经济毒性现状及其影响因素分析[J].卫生经济研究,2024,41(05):19-22.
　PANG Huarong,YIN Jun,LYU Jianxia,et al.Study on the Current Situation and Influencing Factors of Financial Toxicity in Patients with Brain Glioma[J].Journal Press of Health Economics Research,2024,41(05):19-22.
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脑胶质瘤患者经济毒性现状及其影响因素分析
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卫生经济研究[ISSN:1004-7778/CN:33-1056/F]

卷:
41
期数:
2024年05期
页码:
19-22
栏目:
专题研究
出版日期:
2024-04-23

文章信息/Info

Title:
Study on the Current Situation and Influencing Factors of Financial Toxicity in Patients with Brain Glioma
作者:
庞华容1; 阴 骏1; 吕俭霞1; 李 彬1; 李桦康2; 唐 媛1; 甘 朵1; 王 杰1; 杜 婧1; 殷 利1
1.放射肿瘤学四川省重点实验室，四川省肿瘤医院·研究所，电子科技大学附属肿瘤医院，四川 成都 610041
2.成都中医药大学，四川 成都 610071
Author(s):
PANG Huarong;  YIN Jun;  LYU Jianxia;  LI Bin;  LI Huakang;  TANG Yuan;  GAN Duo;  WANG Jie;  DU Jing;  YIN Li
Radiation Oncology Key Laboratory of Sichuan Province， Sichuan Cancer Hospital & Institute, Affiliate Cancer Hospital of University of Electronic Science and Technology of China, Chengdu Sichuan 610041, China
关键词:
脑胶质瘤; 经济毒性; 影响因素
Keywords:
brain glioma;  financial toxicity;  influencing factors
分类号:
R19
文献标志码:
A
摘要:
目的：调查脑胶质瘤患者经济毒性现状并分析其影响因素。方法：以某三甲肿瘤医院脑胶质瘤患者为研究对象，采用一般资料调查表和经济毒性综合评分量表（COST）进行问卷调查，分别通过单因素Logistic分析、Lasso回归、全子集回归三种方法筛选变量组合进入Logistic多因素回归分析，以确定高经济毒性的影响因素，运用随机森林算法对各影响因素的重要性进行评估。结果：300名脑胶质瘤患者的COST得分为21分，高经济毒性患者占比高达54.7%；影响脑胶质瘤患者经济毒性的重要性因素依次为工作状态、确诊时长、电场治疗、医疗保险及家庭人均月收入。结论：应重点关注失业、确诊时间较长、接受电场治疗、家庭人均收入水平低的农村脑胶质瘤患者，制定个性化防治策略，减轻患者的经济毒性。
Abstract:
Objective To investigate the current situation of financial toxicity in patients with brain glioma and analyze its influencing factors. Methods The brain glioma patients in a tertiary cancer hospital were selected as the study subjects, and a questionnaire survey was conducted using the general information questionnaire and the Comprehensive Score for Financial Toxicity(COST). The combinations of variables were selected into multifactorial logistic regression analysis through the three methods of one-way logistic analysis, lasso regression, and all-subset regression, respectively, in order to determine the influencing factors of high economic toxicity. The importance of each influencing factor was assessed using the random forest algorithm. Results The COST score of 300 patients with brain glioma was 21, and the proportion of patients with high economic toxicity was as high as 54.7%. The influencing factors of financial toxicity in patients with brain glioma, in order of importance, were employment status, diagnosis duration, electric field treatment, medical insurance type, and average monthly family income. Conclusion Focus should be placed on rural patients with brain glioma, who are unemployed, have a long time to diagnosis, receive electric field therapy, and have a low level of average monthly family income, to develop individualized prevention and treatment strategies to reduce the financial toxicity of the patients.

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更新日期/Last Update: 2024-04-23