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埃塞俄比亚东部部分医院的技术效率

Technical efficiency of selected hospitals in Eastern Ethiopia.

作者信息

Ali Murad, Debela Megersa, Bamud Tewfik

机构信息

Department of Economics, Haramaya University, College of Business and Economics, Dire Dawa, Ethiopia.

Department of Economics, Hawasa University, College of Business and Economics, Awasa, Ethiopia.

出版信息

Health Econ Rev. 2017 Dec;7(1):24. doi: 10.1186/s13561-017-0161-7. Epub 2017 Jun 20.

Abstract

This study examines the relative technical efficiency of 12 hospitals in Eastern Ethiopia. Using six-year-round panel data for the period between 2007/08 and 2012/13, this study examines the technical efficiency, total factor productivity, and determinants of the technical inefficiency of hospitals. Data envelopment analysis (DEA) and DEA- based Malmquist productivity index used to estimate relative technical efficiency, scale efficiency, and total factor productivity index of hospitals. Tobit model used to examine the determinants of the technical inefficiency of hospitals. The DEA Variable Returns to Scale (VRS) estimate indicated that 6 (50%), 5 (42%), 3 (25%), 3 (25%), 4 (33%), and 3 (25%) of the hospitals were technically inefficient while 9 (75%), 9 (75%), 7 (58%), 7 (58%), 7 (58%) and 8 (67%) of hospitals were scale inefficient between 2007/08 and 2012/13, respectively. On average, Malmquist Total Factor Productivity (MTFP) of the hospitals decreased by 3.6% over the panel period. The Tobit model shows that teaching hospital is less efficiency than other hospitals. The Tobit regression model further shows that medical doctor to total staff ratio, the proportion of outpatient visit to inpatient days, and the proportion of inpatients treated per medical doctor were negatively related with technical inefficiency of hospitals. Hence, policy interventions that help utilize excess capacity of hospitals, increase doctor to other staff ratio, and standardize number of inpatients treated per doctor would contribute to the improvement of the technical efficiency of hospitals.

摘要

本研究考察了埃塞俄比亚东部12家医院的相对技术效率。利用2007/08年至2012/13年期间的六年面板数据,本研究考察了医院的技术效率、全要素生产率以及技术无效率的决定因素。数据包络分析(DEA)和基于DEA的Malmquist生产率指数用于估计医院的相对技术效率、规模效率和全要素生产率指数。Tobit模型用于考察医院技术无效率的决定因素。DEA可变规模报酬(VRS)估计表明,在2007/08年至2012/13年期间,分别有6家(50%)、5家(42%)、3家(25%)、3家(25%)、4家(33%)和3家(25%)医院存在技术无效率,而有9家(75%)、9家(75%)、7家(58%)、7家(58%)、7家(58%)和8家(67%)医院存在规模无效率。在整个面板期内,医院的Malmquist全要素生产率(MTFP)平均下降了3.6%。Tobit模型显示,教学医院的效率低于其他医院。Tobit回归模型进一步表明,医生与总员工的比例、门诊人次与住院天数的比例以及每位医生治疗的住院病人比例与医院的技术无效率呈负相关。因此,有助于利用医院过剩产能、提高医生与其他员工比例以及规范每位医生治疗的住院病人数量的政策干预措施,将有助于提高医院的技术效率。

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