北京大学学报(医学版) ›› 2017, Vol. 49 ›› Issue (3): 483-488. doi: 10.3969/j.issn.1671-167X.2017.03.018

• 论著 • 上一篇    下一篇

不同管理系统下的医院运营效率比较

孙美平,简伟研△   

  1. (北京大学公共卫生学院卫生政策与管理学系, 北京100191)
  • 出版日期:2017-06-18 发布日期:2017-06-18
  • 通讯作者: 简伟研 E-mail:jianweiyan@bjmu.edu.cn

Assessment and comparison of hospital operating efficiency under different management systems

SUN Meiping, JIAN Weiyan△   

  1. (Department of Health Policy and Management, Peking University School of Public Health, Beijing 100191, China)
  • Online:2017-06-18 Published:2017-06-18
  • Contact: JIAN Wei-yan E-mail:jianweiyan@bjmu.edu.cn

摘要:  目的:评价并比较北京地区国家卫生和计划生育委员会直属(委属)与北京市医院管理局直属(市属)综合公立医院的运营效率,为提升公立医院整体效率、完善公立医院改革的相关政策提供依据。方法:从2011—2014年北京市卫生统计直报数据中,获取得到8家委属和8家市属大型综合医院的投入与产出数据。以数据包络分析作为医院运营效率的测量工具;采用CCR和BCC模型计算16家医院在2011年度和2014年度的综合技术效率、纯技术效率、规模效率及规模报酬情况;采用Malmquist指数模型对16家医院进行跨期分析,求解2011—2014年间两类医院全要素生产率变化、技术变动、综合技术效率变化、纯技术效率变化及规模效率变化情况。结果:2011年委属医院的综合技术效率、规模效率和纯技术效率均高于市属医院,其中委属医院综合技术效率均值为0.918,市属医院为0.873;到了2014年,委属医院的各效率指标则均低于市属医院,其中委属医院综合技术效率均值为0.906,市属医院为0.951。Malmquist指数模型结果显示,市属医院全要素生产率变化大于委属医院,前者平均每年增长5.9%,后者平均每年增长2.8%;技术变动方面,委属、市属医院均为技术进步状态,委属医院平均每年增长3.2%,市属医院为2.9%;委属医院纯技术效率的增长幅度远低于市属医院;委属医院规模效率的下降幅度大于市属医院。结论:不同管理体系下两类医院的运营效率及变化有很大差异,其中技术进步和管理水平是影响医院效率的最重要因素;结合规模报酬情况及北京地区宏观卫生政策,委属和市属医院仍需进一步推进优质资源向市中心区以外转移,同时应注重医院技术水平和管理水平的提升。

关键词:  数据包络分析, 运营效率, 医院

Abstract: Objective:  To assess and analyze the operation efficiency of 8 commission general public hospitals managed directly by National Health and Family Planning Commission and 8 municipal general hospitals managed directly by Beijing Municipal Administration of Hospitals in Beijing and to provide suggestions on improving service capacity and designing relevant health policy. Methods: Input and output data of 8 commission hospitals and 8 municipal hospitals were obtained from Beijing Direct-Reported Health Statistics data from 2011 to 2014. Data envelopment analysis was used as the hospital operation efficiency measurement tool. The CCR and BCC models were built to calculate technical efficiency (TE), pure technical efficiency (PTE), scale efficiency (SE) and the status of scale efficiency of 16 hospitals in 2011 and 2014; the Malmquist index model was built to analyze the total factor productivity change (TFPC), technological change (TC), technical efficiency change, pure technical efficiency change and scale efficiency change of the 16 hospitals from 2011 to 2014.  Results: In 2011, the TE, PTE and SE of the commission hospitals were higher than those of the municipal hospitals, and the TEs of the commission hospitals and the municipal hospitals were 0.918 and 0.873 respectively. In 2014, the TE, PTE and SE of commission hospitals were lower than those of the municipal hospitals, and the TE of the commission hospitals and the municipal hospitals were 0.906 and 0.951, respectively, which was contrary to the results in 2011. According to the Malmquist index model, the average of TFPC of the municipal hospitals was larger than that of the commission hospitals, the former increased 5.9% and the latter increased 2.8% per year; the average of TC was greater than the one in both the municipal hospitals and the commission hospitals, with a growth of 3.2% and 2.9% per year, respectively; the average growth of PTE in the commission hospitals was lower than that of the municipal hospitals, and the average descent of SE in the commission hospitals was larger than that in the municipal hospitals. Conclusion: There are significant differences in the operation efficiency between different management systems and the main factors associated with operation efficiency are the technological and management level. Given scale efficiency status and macroeconomic medical policies, the commission hospitals and the municipal hospitals require further adjusting the distribution of medical resources, and it is of great significance for all the commission hospitals and the municipal hospitals to improve the management level and resource integration capability.

Key words: Data envelopment analysis, Operation efficiency, Hospital

中图分类号: 

  • R197.3
[1] 冉珂欣,李与涵,冯文. 远程医疗对我国公立医院运营的影响[J]. 北京大学学报(医学版), 2024, 56(3): 471-478.
[2] 孟洪,季丽娜,黄静,晁爽,周佳雯,李学军,尹小梅,樊丽容. COVID-19疫情前后北京市某综合医院儿科门诊患儿就诊量变化分析[J]. 北京大学学报(医学版), 2021, 53(5): 952-956.
[3] 杨渝平,马骁,陈拿云,蒋艳芳,张晓伟,丁中伟,刘涛,敖英芳. 冬奥会雪场医疗站和近地医疗保障医院在滑雪运动伤救治体系中的作用[J]. 北京大学学报(医学版), 2021, 53(3): 580-585.
[4] 邢燕,张娟,韩彤妍,李在玲,李蕊,童笑梅. 新型冠状病毒感染肺炎疫情下综合医院儿科防控方式探索[J]. 北京大学学报(医学版), 2020, 52(3): 410-413.
[5] 景日泽,章湖洋,徐婷婷,张鲁豫,方海. 北京市三级公立医院效率及其影响因素[J]. 北京大学学报(医学版), 2018, 50(3): 408-415.
[6] 吴静静, 杨莉. 278例静脉血栓栓塞症医疗保险患者住院费用分析[J]. 北京大学学报(医学版), 2013, 45(03): 437-442.
[7] 简伟研, 汤淑女, 胡牧. 北京地区公立综合医院规模与住院服务产出关系的实证分析[J]. 北京大学学报(医学版), 2011, 43(3): 403-406.
[8] 鄢盛恺, 柯元南, 李珅珅, 姜红, 李江, 杨辉, 武阳丰, . 相关科室血脂异常患者对检验报告单有用性评价及调脂治疗相关知识调查[J]. 北京大学学报(医学版), 2010, 42(6): 675-680.
[9] 海山·卡德尔拜, 刘民, 代小秋, 李晓光, 李玉玲, 杨雪松, 鲁炳怀, 汪整辉, 朱凤霞, 吴华, 赵旭, 胥婕, 宁永忠. 北京市2所三级综合性医院肠道门诊就诊患者疾病种类分析[J]. 北京大学学报(医学版), 2010, 42(3): 308-313.
[10] 方鹏骞, 陈晶, 张佳慧. 2002至2004年我国不同地区农村预防保健工作效率评价[J]. 北京大学学报(医学版), 2007, 39(2): 203-204.
[11] 简伟研, 崔涛, 王洪源, 胡牧, 黄因敏, 张修梅, 郭岩. 诊断相关组死亡风险分级在医疗质量评估中的应用[J]. 北京大学学报(医学版), 2007, 39(2): 145-148.
[12] 吴希如. 从北京大学第一医院的一段历史看医学遗传学在小儿神经科临床实践中的作用[J]. 北京大学学报(医学版), 2006, 38(1): 94-99.
[13] Tian-jian CHEN, Yue-ying WANG, Xi-yu HE. 临床分子诊断实验室的质量管理[J]. 北京大学学报(医学版), 2006, 38(1): 30-32.
[14] 包黎明. 有关提高我国临床分子医学检验水平的探索和感想[J]. 北京大学学报(医学版), 2006, 38(1): 25-27.
[15] 王鑫, 汪涛. 持续质量改进对腹膜透析病人高血压的作用[J]. 北京大学学报(医学版), 2004, 36(2): 190-193.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!