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2019~2023年广西某公立三甲综合医院乳腺癌患者住院费用结构及影响因素分析▲
Analysis of the structure and influencing factors of hospitalization costs for breast cancer patients in a public Grade-A tertiary general hospital in Guangxi, 2019-2023

内科 页码:203-214

作者机构:1 广西医科大学卫生与健康政策研究中心,广西南宁市 530021;2 广西医科大学信息与管理学院,广西南宁市 530021;3 广西壮族自治区人民医院,广西南宁市 530021

基金信息:广西自然科学基金项目(2018GXNSFBA281061) 通信作者:冯启明

DOI:10.16121/j.cnki.cn45-1347/r.2026.02.13

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目的 分析2019~2023年广西某公立三甲综合医院乳腺癌患者住院费用的区间分布特征、结构变化及影响因素。方法 收集该院2019年1月1日至2023年12月31日出院的乳腺癌患者病案首页数据。采用描述性统计分析患者基本特征及住院费用区间分布与变化趋势;采用灰色关联度分析和结构变动度分析探究费用构成及变动情况;采用单因素分析和多因素线性回归分析探究住院费用的影响因素。结果 共纳入乳腺癌患者15 893例,其次均住院总费用为12 369.65元,中位住院总费用为7 587.71元,90.94%的患者住院总费用在30 000元以内。2019~2023年,患者次均住院总费用呈先降后升再降的变化趋势:2020年较2019年下降(12 671.29元至11 527.33元),2022年升至峰值(12 978.09元),2023年再次回落(12 601.23元)。次均药费、次均检查费、次均化验费和次均手术费是患者次均住院总费用的主要组成部分,其中次均药费占比最高,但已从2019年的51.95%降至2023年的43.68%。灰色关联度分析显示,与次均住院总费用变化趋势一致性最高的费用类别是次均药费(关联度=0.965),其后依次为次均其他费用(0.805)、次均检查费(0.717)、次均化验费(0.706)、次均手术费(0.686)、次均床位费(0.675)、次均护理费(0.674)、次均诊疗费(0.671)。结构变动度分析显示,2019~2023年次均住院总费用的总结构变动度为17.05%,其中2019~2020年结构变动度最大(12.93%);从结构变动贡献率来看,引起次均住院总费用结构变动的主要费用类别依次为次均药费(48.50%)、次均检查费(22.46%)、次均化验费(18.30%)和次均手术费(4.57%),累计贡献率达93.83%。单因素分析显示,不同年龄、婚姻状况、民族、居住地、出院年份、接受手术治疗情况、接受放射治疗情况、住院天数、并发症/合并症情况、出院31 d内再入院计划、出院疗效、付费方式的乳腺癌患者住院总费用差异均有统计学意义(均P<0.05)。多因素线性回归分析显示,上述变量(除居住地外)均为住院总费用的独立影响因素(均P<0.05),其中影响较大的因素为接受手术治疗(β=0.319)、住院天数(β=0.135~0.287)、接受放射治疗(β=0.192)。结论 2019~2023年广西某公立三甲综合医院乳腺癌患者次均住院总费用呈先降后升再降趋势,次均药费始终为主要驱动因素,疾病诊断相关分组付费模式对优化住院总费用的结构具有积极作用。乳腺癌患者住院总费用受多重因素影响,接受手术治疗情况、住院天数、接受放射治疗情况是其主要独立影响因素。

Objective To analyze the distribution characteristics, structural changes, and influencing factors of hospitalization costs in breast cancer patients in a public Grade-A tertiary general hospital in Guangxi from 2019 to 2023. Methods The medical record front sheet data of breast cancer patients discharged from the hospital from January 1st, 2019 to December 31st, 2023 were collected. Descriptive statistics were used to analyze patients' basic characteristics, the hospitalization cost range distribution characteristics and its changing trend of. Grey correlation degree analysis and structural variation degree analysis were adopted to explore the composition and changes of medical costs. Univariate analysis and multivariate linear regression analysis were used to identify the influencing factors of hospitalization costs. Results A total of 15 893 breast cancer patients were enrolled. The average total hospitalization cost was 12 369.65 yuan, and the median total hospitalization cost was 7 587.71 yuan; 90.94% of patients had total hospitalization costs within 30 000 yuan. From 2019 to 2023, the average total hospitalization cost presented a trend of initial decline, subsequent rise, and then another fall: it decreased from 12 671.29 yuan in 2019 to 11 527.33 yuan in 2020, rose to a peak of 12 978.09 yuan in 2022, and dropped again to 12 601.23 yuan in 2023. The average costs per patient for medications, examinations, laboratory tests, and surgery were the main components of the average total hospitalization costs. Among them, average drug cost accounted for the highest proportion, which decreased from 51.95% in 2019 to 43.68% in 2023. Grey correlation degree analysis showed that the cost category with the highest consistency in the changing trend of total average hospitalization cost was average drug cost (correlation degree=0.965), followed by average other costs (0.805), average examination cost (0.717), average laboratory test cost (0.706), average surgical cost (0.686), average bed cost (0.675), average nursing cost (0.674), and average diagnosis and treatment cost (0.671). Structural variation degree analysis indicated that the overall structural variation degree of average total hospitalization costs from 2019 to 2023 was 17.05%, with the largest structural variation degree of 12.93% occurring during 2019-2020; in terms of structural variation contribution rate, the main cost categories causing the structural change of average total hospitalization costs were average drug cost (48.50%), average examination cost (22.46%), average laboratory test cost (18.30%), and average surgical cost (4.57%), with a cumulative contribution rate of 93.83%. Univariate analysis showed that there were statistically significant differences in total hospitalization costs among breast cancer patients with different ages, marital status, ethnicity, residence, discharge year, surgical treatment status, radiotherapy status, length of hospital stay, complications/comorbidities, readmission plan within 31 days after discharge, discharge outcome, and payment method (all P<0.05). Multivariate linear regression analysis revealed that the above variables (except for residence) were independent influencing factors of total hospitalization costs (all P<0.05), and the major influential factors included surgical treatment (β=0.319), length of hospital stay (β=0.135-0.287), and radiotherapy (β=0.192).Conclusion From 2019 to 2023, the average total hospitalization cost of breast cancer patients in this public Grade-A tertiary general hospital in Guangxi showed a trend of falling first, then rising, and falling again. The average drug cost was the core driving factor, and the diagnosis-related groups payment model played a positive role in optimizing the structure of hospitalization costs. Hospitalization costs of breast cancer patients were affected by multiple factors, among which surgical treatment status, length of hospital stay, and radiotherapy status are the main independent influencing factors.

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