Technical efficiency of public health centers in three districts in Ethiopia: Two-stage data envelopment analysis

被引:11
|
作者
Bobo F.T. [1 ]
Woldie M. [2 ,3 ]
Wordofa M.A. [4 ]
Tsega G. [2 ]
Agago T.A. [2 ]
Wolde-Michael K. [5 ]
Ibrahim N. [6 ]
Yesuf E.A. [2 ,7 ]
机构
[1] Department of Public Health, Wollega University, Nekemte
[2] Department of Health Policy and Management, Jimma University, Jimma
[3] Fenot Project of Harvard T.H. Chan School of Public Health, Boston
[4] Department of Population and Family Health, Jimma University, Jimma
[5] Department of Epidemiology, Jimma University, Jimma
[6] Department of Biomedical Science, Jimma University, Jimma
[7] CIHLMU Center for International Health, Ludwig-Maximilians-Universität München, Munich
关键词
Data envelopment analysis; Health centers; Inputs; Output; Scale efficiency; Technical efficiency;
D O I
10.1186/s13104-018-3580-6
中图分类号
学科分类号
摘要
Objective: The aim of the study was to measure technical and scale efficiency of public health centers in three districts of Jimma zone, Ethiopia. A two-stage data envelopment analysis was used. First, we estimated technical and scale efficiency of the health centers. In the second stage, institutional and environmental factors were against technical efficiency of the health centers to identify factors associated to efficiency of the health centers. Results: Eight out of the 16 health centers in the study were found to be technically efficient, with an average score of 90% (standard deviation = 17%). This indicates that on average they could have reduce their utilization of all inputs by about 10% without reducing output. On the other hand, 8 out of 16 health centers were found to be scale efficient, with an average scale efficiency score of 94% (standard deviation = 9%). The inefficient health centers had an average scale score of 89%; implying there is potential for increasing total outputs by about 11% using the existing capacity/size. Catchment population and number of clinical staff were found to be directly associated with efficiency, while the number of nonclinical staff was found to be inversely associated with efficiency. © 2018 The Author(s).
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