[1]闫瑞振,窦一峰.基于多元线性回归方程模型的天津市某三甲医院骨科住院患者费用及其影响因素分析[J].医学信息,2024,37(02):41-46.[doi:10.3969/j.issn.1006-1959.2024.02.007]
　YAN Rui-zhen,DOU Yi-feng.Analysis of the Cost and its Influencing Factors of Orthopedic Inpatients in a Tertiary Hospital in Tianjin Based on Multiple Linear Regression Model[J].Journal of Medical Information,2024,37(02):41-46.[doi:10.3969/j.issn.1006-1959.2024.02.007]
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基于多元线性回归方程模型的天津市某三甲医院骨科住院患者费用及其影响因素分析()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
37卷
期数:
2024年02期
页码:
41-46
栏目:
医学数据科学
出版日期:
2024-01-15

文章信息/Info

Title:
Analysis of the Cost and its Influencing Factors of Orthopedic Inpatients in a Tertiary Hospital in Tianjin Based on Multiple Linear Regression Model
文章编号:
1006-1959（2024）02-0041-06
作者:
闫瑞振; 窦一峰
（天津市宝坻区人民医院医学检验科1，网络信息中心2，天津 301800）
Author(s):
YAN Rui-zhen; DOU Yi-feng
(Department of Clinical Laboratory1,Network Information Center2,Tianjin Baodi Hospital,Tianjin 301800,China)
关键词:
骨科; 疾病构成; 住院总费用; 多元回归方程模型
Keywords:
Orthopedics; Disease composition; Total hospitalization cost; Multiple linear regression model
分类号:
R197
DOI:
10.3969/j.issn.1006-1959.2024.02.007
文献标志码:
A
摘要:
目的 了解骨科住院患者费用构成及其影响因素，为有效控制住院费用、提高医疗服务质量提供有效依据。方法 对天津市某三甲医院2017年1月1日-2022年9月30日出院的12 887例骨科患者的疾病构成比、住院总费用等指标进行分析，运用多元线性回归方程模型对总费用的影响因素进行建模分析。结果 12887例患者平均患病年龄（50.37±19.36）岁，患病高峰年龄在51~60岁，占患者总数的21.62%，住院总费用年平均增长率为6.29%；多元线性回归方程模型显示，年龄增长、转科、住院天数增加、疾病诊断数和手术操作数增长与住院总费用呈正相关；少数民族、门诊入院、死亡标志以及31 d内再入院与住院费用呈负相关；调整R2为0.801，年龄、民族、疾病诊断数等指标能解释住院总费用变化的80.1%。结论 民族、年龄、入院途径、是否转科、住院天数、疾病诊断数和手术操作数是影响骨科患者住院总费用的主要因素。
Abstract:
Objective To understand the cost components of orthopedic inpatients and their influencing factors, provides an effective basis for effectively controlling inpatient costs and improving the quality of medical services.Methods The disease composition ratio and total hospitalization cost of 12 887 orthopedic patients discharged from a tertiary hospital in Tianjin from January 1, 2017 to September 30, 2022 were statistically analyzed, and the factors influencing the total cost were modeled using a multiple linear regression model.Results The average age of 12 887 patients was (50.37±19.36) years old, and the peak age was 51-60 years old, accounting for 21.62% of the total number of patients, and the average annual growth rate of total hospitalization expenses was 6.29%. The multiple linear regression model showed that the increase of age, transfer, hospitalization days, number of disease diagnosis and number of surgical operations were positively correlated with the total cost of hospitalization. Ethnic minorities, outpatient admission, death signs and readmission within 31 days were negatively correlated with the total cost of hospitalization. The adjusted R2 was 0.801. Age, ethnicity, number of disease diagnoses and other indicators could explain 80.1% of the change in the total cost of hospitalization.Conclusion Ethnicity, age, route of admission, whether or not to transfer, length of hospital stay, number of disease diagnosis and number of surgical operations are the main factors affecting the total hospitalization cost of orthopedic patients.

参考文献/References:

[1]马国岭,苏啸天,胡海燕.某院2013-2017年骨科超长住院日及其影响因素研究[J].中国卫生统计,2019,36(5):703-705.[2]姚丽,严建阳,杨静.某医院骨科2019年1859例损伤患者病例统计分析[J].中国医院统计,2021,28(1):41-43．[3]罗莉,俞骏仁,周希喆,等.优势学科不同亚专科同病种费用影响因素分析——以“取除骨折内固定装置”为例[J].中国医院管理,2021,41(9):60-63.[4]于磊,徐间萍,邓活清,等.公立医院基于DRGs及病案首页精准控费的实证研究——以骨科超支病种为例[J].现代医院,2022,22(11):1713-1717.[5]李琪,苏晴晴,房晓,等.骨科患者住院期间知识期望满足现状及影响因素研究[J].中国实用护理杂志,2022,38(25):1955-1960.[6]杨帆,吕翔,童雪君.医保支付方式改革下骨科患者住院费用构成对总费用的影响研究[J].江苏卫生事业管理,2023,34(1):100-102.[7]韩磊,丁敬美,齐凤宇,等.某部队三甲医院2016~2020年骨折军队伤病员住院总费用变化趋势及影响因素研究[J].华南国防医学杂志,2022,36(8):657-662.[8]卢秀芳,吴银飞,曲慧丽,等.老年髋部骨折患者住院费用变化及影响因素分析[J].中国医疗保险,2022(9):103-106.[9]王硕,刘海宁,符艳冉,等.中国老年人抑郁状况及影响因素分析——基于2018年中国健康与养老追踪调查[J].商情,2022(41):0146-0148.[10]朱迎春,贾学文,宓云峰,等.肩峰形态影像学分型在肩袖损伤诊治中的应用价值研究[J].中国骨伤,2022,35(8):757-762.[11]邓晓兰,马维红,夏行,等.基于多水平模型的高血压患者住院费用及其影响因素分析[J].医学信息,2020,33(15):57-60,64.[12]郑琳琳,何辉,孔笑华,等.84例肿瘤相关性急性胰腺炎的发病特征及预后分析[J].临床肝胆病杂志,2022,38(8):1865-1871.[13]孙建,宋瑰琦,秦寒枝,等.基于秩和比法的安徽省2020年护理人力资源配置现状分析[J].中国临床护理,2022,14(9):532-536.[14]尹晔,金大庆,何颖,等.鞍山市手足口病日发病数与气象因素的关系及预测模型的建立[J].广西医学,2019,41(5):600-603.[15]张磊.全麻复合硬膜外麻醉对下腹部手术后痛觉过敏影响的临床研究[D].南宁:广西医科大学,2013.[16]丁金霞,胡曾琳,董云亚,等.实习护生学习动机现状及相关因素分析[J].中华全科医学,2022,20(4):681-684.[17]马景贤.大健康背景下骨科患者手术费用的精算分析[J].科技与创新,2020(2):106-107.[18]刘芳,王继伟.2015年-2019年某医院骨科住院患者疾病构成分析[J].中国病案,2022,23(4):76-79.[19]肖衡,谢世伟,罗明薇.基于DRGs的四川省三甲医院骨科专业住院服务绩效评价[J].中国医院,2021,25(3):46-47.[20]陈丽芳,邓姚,曹嘉婧,等.DRGs视角下某县级医院骨科医疗服务绩效评价[J].中国社会医学杂志,2022,39(1):117-120.

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更新日期/Last Update: 1900-01-01