基于分位数回归模型甘肃省肺癌患者住院费用影响因素分析
Analysis of Factors Influencing Hospitalization Expenses of Lung Cancer Patients in Gansu Province Based on Quantile Regression
投稿时间:2023-09-15  修订日期:2024-03-20
DOI:
中文关键词:  肺癌患者  住院费用  影响因素  分位数回归
英文关键词:Lung cancer patients  hospitalization expenses  influencing factors  quantile regression
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位邮编
江靖雯 兰州大学公共卫生学院 730000
苗瑞 甘肃省卫生健康委员会 730000
张嘉文 兰州大学公共卫生学院 730000
罗晓蕾 兰州大学公共卫生学院 730000
李婧宜 兰州大学公共卫生学院 730000
马亦晨 兰州大学公共卫生学院 730000
马子媛 兰州大学公共卫生学院 730000
王星星 兰州大学第一医院 730000
李建苗 甘肃省卫生健康委员会 730000
韩雪梅* 兰州大学 730000
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中文摘要:
      目的 分析甘肃省肺癌患者住院费用构成及影响因素,为降低患者疾病负担提供参考。方法 收集甘肃省公立医院2013-2022年肺癌患者病案首页数据,采用描述性统计方法对患者人口学特征和费用构成进行统计描述,应用多重线性回归、分位数回归分析住院费用的影响因素。结果 本研究共纳入43674例肺癌患者,患者住院总费用共计518997144.36元,例均住院费用为7313.48(4376.86,12372.75)元,其中药品费(185159061.00元)、诊断费(134555304.10元)、治疗费(8775029.40元)为排名前3的费用类型,分别占35.68%、25.93%和19.03%。多重线性回归分析结果显示,不同年龄、地区、就诊医疗机构级别、入院途径、住院天数、医疗付款方式对患者住院费用的影响均有统计学意义(P<0.05)。分位数回归模型结果显示,地区、入院途径、医疗付款方式和住院天数在住院费用三个分位数点上均产生了较为显著的影响(P<0.05)。结论 该地区肺癌患者经济负担过重,住院费用构成有待优化。应加强肺癌防治宣传工作,减少无效住院日,扩大医保覆盖范围,降低肺癌患者的住院费用。
英文摘要:
      Objective To analyse the composition of hospitalization expenses and influencing factors of lung cancer patients in Gansu Province, and to provide reference for reducing patients"" disease burden. Methods The data on the front page of lung cancer patients"" cases in public hospitals in Gansu Province from 2013 to 2022 were collected, and descriptive statistical methods were used to statistically describe the patients"" demographic characteristics and expenses composition, multiple linear regression and quantile regression were applied to analyse the influencing factors of hospitalization expenses. Results A total of 43674 lung cancer patients were included in this study, and the total hospitalization expenses of the patients totalled 518997144.36 yuan, with the average case hospitalization expenses of 7313.48 (4376.86, 12372.75) yuan, of which the drug expenses (185159061.00 yuan), the diagnosis expenses (134555304.10 yuan), and the treatment expenses (8775029.40 yuan) were the top 3 expenses types, accounting for 35.68%, 25.93% and 19.03% respectively. The results of multiple linear regression analyses showed that the effects of different age, region, level of medical institution attended, admission route, number of days of hospitalization, and method of medical payment on patients"" inpatient expenses were all statistically significant (P<0.05). The results of the quantile regression model showed that region, route of admission, method of medical payment, and number of days in the hospital had a more significant effect at all three quantile points of hospitalization expenses (P<0.05). Conclusion The burden of lung cancer patients in this region is too heavy, and the composition of hospitalization expenses needs to be optimised. The publicity of lung cancer prevention and treatment should be strengthened, ineffective hospitalization days should be reduced, and the coverage of medical insurance should be expanded to reduce the hospitalization expenses of lung cancer patients.
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