摘要
目的:分析广东省样本三甲医院人工关节置换术住院总费用构成及其影响因素。方法:采用描述分析和多元逐步回归分析,对2014—2018年首次行人工膝关节置换术和人工髋关节置换术的639例患者住院总费用进行影响因素分析,并运用灰色关联法解析费用变动的主要影响因素。结果:患者年龄、医保付费方式、手术类别、住院天数对住院总费用有显著性影响(P<0.005)。住院总费用的变化与耗材费、中医类总费用、药品费有密切关系。结论:为合理控制住院总费用,医院应尝试调整收费结构、转变付费方式,相关政府部门应加大药品市场的监管力度,为合理配置医疗资源提供宏观政策支持。
Objective:To analyze the composition and influencing factors of total hospitalization cost of total joint arthroplasty in a tertiary hospital in Guangdong.Methods:It used method-description analysis and stepwise multiple regression analysis to analyze the factors affecting the total cost of hospitalization of 639 patients who underwent total knee arthroplasty and total hip arthroplasty from2014 to 2018.The gray correlation was used to analyze the change in cost as a major influencing factor.Results:Patient age,medical insurance payment method,type of surgery,and length of hospital stay had a significant impact on total hospitalization costs(P<0.005).The changes in hospitalization costs were closely related to the cost of consumables,the total cost of traditional Chinese medicine,and the cost of medicines.Conclusion:In order to reasonably control the total costs of hospitalization,hospitals should try to adjust the charging structure and change the payment method.Relevant government departments needed to strengthen oversight of the drug market and provide macro-political support for rational allocation of medical resources.
作者
昌敬惠
范悦
王冬
CHANG Jing-hui;FANG Yue;WANG Dong(School of Health Management,Southern Medical University,Guangzhou,510515,China;School of Public Health,Southern Medical University,Guangzhou,510515,China)
出处
《中国卫生经济》
北大核心
2020年第12期69-72,共4页
Chinese Health Economics
基金
2020年度广东省普通高校青年创新人才项目(2020KQNCX010)
2019年度广东省医学科学技术研究基金项目(B2019248)
2018年度南方医科大学科研启动计划青年科技人员培育项目(G618369181)
2019年度南方医科大学卫生管理学院国家级课题培育计划项目(2019RFT002)
广东省高校哲学社科“公共卫生政策研究与评价”重点实验室立项项目(2015WSYS0010)
广州市人文社会科学重点研究基地:广州市公共卫生服务体系建设研究基地立项项目(2018—2020年)。
关键词
人工关节置换术
住院总费用分析
灰色关联法
artificial joint replacement
analysis for the total hospitalization expenditure
grey relational analysis
