《中国康复理论与实践》 ›› 2024, Vol. 30 ›› Issue (4): 397-403.doi: 10.3969/j.issn.1006-9771.2024.04.004

• 专题 康复政策与发展 • 上一篇    下一篇

康复患者次均住院费用影响因素的分析:基于分位数回归模型

蒋娜1, 卫宁1, 曾艳玲1, 张倩1, 益筱哲1, 陈万强2, 景玉珍3, 寄婧3, 郭旭升3, 裴泓波1(), 王建云3()   

  1. 1.兰州大学公共卫生学院,甘肃兰州市 730000
    2.兰州大学第一医院,甘肃兰州市 730000
    3.甘肃省康复中心医院,甘肃兰州市 730000
  • 收稿日期:2024-03-21 出版日期:2024-04-25 发布日期:2024-05-08
  • 通讯作者: 裴泓波(1974-),女,汉族,甘肃天水市人,博士,副教授,主要研究方向:卫生项目评价。E-mail: peihb@lzu.edu.cn;王建云(1964-),男,汉族,甘肃武威市人,主任医师,主要研究方向:康复医学。E-mail: 1185355287@qq.com
  • 作者简介:蒋娜(1998-),女,汉族,安徽安庆市人,硕士研究生,主要研究方向:卫生项目评价。
  • 基金资助:
    甘肃省卫生健康行业科研项目(GSWSKY2022-04)

Influencial factors of average hospitalization costs of rehabilitation inpatients based on quantile regression model

JIANG Na1, WEI Ning1, ZENG Yanling1, ZHANG Qian1, YI Xiaozhe1, CHEN Wanqiang2, JING Yuzhen3, JI Jing3, GUO Xusheng3, PEI Hongbo1(), WANG Jianyun3()   

  1. 1. School of Public Health, Lanzhou University, Lanzhou, Gansu 730000, China
    2. First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
    3. Gansu Province Hospital Rehabilitation Center, Lanzhou, Gansu 730000, China
  • Received:2024-03-21 Published:2024-04-25 Online:2024-05-08
  • Contact: PEI Hongbo, E-mail: peihb@lzu.edu.cn; WANG Jianyun, E-mail: 1185355287@qq.com
  • Supported by:
    Health and Health Industry Research Project in Gansu Province(GSWSKY2022-04)

摘要:

目的 分析甘肃省二级、三级医院康复住院患者次均住院费用的分布特点及其影响因素。

方法 分层抽取2017年1月1日至2023年6月30日甘肃省59家二级、三级医院康复住院患者病历6 950份,收录电子病历管理系统住院病案首页信息数据。描述康复患者次均住院费用的分布及特点,并运用分位数回归模型分析次均住院费用的影响因素。

结果 纳入患者次均住院费用为6 282.65(4 095.39, 11 829.36)元。多因素分析结果显示,康复患者的年龄(β > 21.509)、住院时间(β > 166.320)、医院级别(β > 1096.971)、医院类别(|β| > 969.080)、入院途径(β > 307.731)、是否转科(β > 732.289)和是否用药(β > 737.109)对次均住院费用3个分位数点(P10, P50, P90)均有影响(P < 0.05),均呈现对高分位点影响最强。2017年至2019年入院的康复患者较2020年至2023年的康复患者在第10分位点次均住院费用较低(β= -732.341),在第90分位点费用较高(β = 846.445) (P < 0.05)。以自费为对照,医保支付的次均住院费用在第10分位点更高(β职工医保 = 450.606, β居民医保 = 478.421),在第90分位点上费用更低(β职工医保 = -2517.823, β居民医保 = -1283.355) (P < 0.05),在第90分位点影响更大。以其他类型疾病为对照,精神与行为障碍、神经系统疾病费用更低(β < -569.500),循环系统疾病在第10分位点上费用更高(β = 457.393),肌肉骨骼和结缔组织疾病在第50 (β = -1106.791)、第90分位点上费用(β = -3072.947)更低(P < 0.05)。

结论 康复患者次均住院费用差异大,影响因素复杂,医保相比自费在次均住院费用的高分位点有保护作用。

关键词: 住院费用, 康复, 影响因素, 分位数回归

Abstract:

Objective To analyze the distribution and the influcing factors of the average hospitalization costs of rehabilitation inpatients of secondary and tertiary hospitals in Gansu Province.

Methods The medical records of 6 950 rehabilitation inpatients from January 1st, 2017 to June 30th, 2023 from 59 secondary and tertiary hospitals in Gansu Province were selected by stratified sampling. The home pages of inpatient medical records were collected through the electronic medical record management system. The distribution and characteristics of the average hospitalization costs of rehabilitation patients were described, and the influencing factors of the average hospitalization costs were analyzed by quantile regression model.

Results The average hospitalization cost was 6 282.65 (4 095.39, 11 829.36) yuan per admission. Multivariate analysis showed that the age (β > 21.509), length of stay (β > 166.320), hospital level (β > 1096.971), hospital category (|β| > 969.080), admission pathway (β > 307.731), inter-department transference (β > 732.289) and medication use (β > 737.109) effected the three quantile points (P10, P50, P90) of the average hospitalization costs (P < 0.05), the strongest on the highest quantile point. The average hospitalization costs of rehabilitation inpatients admitted from 2017 to 2019 were lower than that admitted from 2020 to 2023 at the 10th quartile point (β= -732.341), but higher at the 90th quartile point (β = 846.445) (P < 0.05). Compared with self-payment, the average hospitalization costs of rehabilitation inpatients paid by medical insurance were higher at the 10th quartile point (βstaff = 450.606, βresident = 478.421), lower at the 90th quartile point (βstaff= -2517.823, βresident = -1283.355) (P < 0.05). Compared with other types of diseases, mental and behavioral disorders and neurological diseases cost less (β <-569.500), while circulatory diseases cost more at the 10th quartile point (β= 457.393); and musculoskeletal and connective tissue diseases cost less at the 50th (β= -1106.791) and 90th (β= -3072.947) quartile point (P < 0.05).

Conclusion The average hospitalization cost varies greatly among different rehabilitation patients, and the influencing factors are complex. Compared with self-payment, medical insurance plays a protective role on the high quantile point of the average hospitalization costs.

Key words: hospitalization cost, rehabilitation, influencing factors, quantile regression

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