Technical efficiency of selected hospitals in Eastern Ethiopia
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 h...
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doaj-f0be160a4cd24266998bd4fe4c7fa7042020-11-24T21:07:59ZengBMCHealth Economics Review2191-19912017-06-017111310.1186/s13561-017-0161-7Technical efficiency of selected hospitals in Eastern EthiopiaMurad Ali0Megersa Debela1Tewfik Bamud2Department of Economics, Haramaya University, College of Business and EconomicsDepartment of Economics, Haramaya University, College of Business and EconomicsDepartment of Economics, Hawasa University, College of Business and EconomicsAbstract 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.http://link.springer.com/article/10.1186/s13561-017-0161-7Technical inefficiencyDEAScale efficiencyHospitalsMalmquist total factor productivity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Murad Ali Megersa Debela Tewfik Bamud |
spellingShingle |
Murad Ali Megersa Debela Tewfik Bamud Technical efficiency of selected hospitals in Eastern Ethiopia Health Economics Review Technical inefficiency DEA Scale efficiency Hospitals Malmquist total factor productivity |
author_facet |
Murad Ali Megersa Debela Tewfik Bamud |
author_sort |
Murad Ali |
title |
Technical efficiency of selected hospitals in Eastern Ethiopia |
title_short |
Technical efficiency of selected hospitals in Eastern Ethiopia |
title_full |
Technical efficiency of selected hospitals in Eastern Ethiopia |
title_fullStr |
Technical efficiency of selected hospitals in Eastern Ethiopia |
title_full_unstemmed |
Technical efficiency of selected hospitals in Eastern Ethiopia |
title_sort |
technical efficiency of selected hospitals in eastern ethiopia |
publisher |
BMC |
series |
Health Economics Review |
issn |
2191-1991 |
publishDate |
2017-06-01 |
description |
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. |
topic |
Technical inefficiency DEA Scale efficiency Hospitals Malmquist total factor productivity |
url |
http://link.springer.com/article/10.1186/s13561-017-0161-7 |
work_keys_str_mv |
AT muradali technicalefficiencyofselectedhospitalsineasternethiopia AT megersadebela technicalefficiencyofselectedhospitalsineasternethiopia AT tewfikbamud technicalefficiencyofselectedhospitalsineasternethiopia |
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