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Technical efficiency of selected hospitals in Eastern Ethiopia

Overview of attention for article published in Health Economics Review, June 2017
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

policy
1 policy source
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2 X users
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1 Facebook page
reddit
1 Redditor

Citations

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40 Dimensions

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94 Mendeley
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Title
Technical efficiency of selected hospitals in Eastern Ethiopia
Published in
Health Economics Review, June 2017
DOI 10.1186/s13561-017-0161-7
Pubmed ID
Authors

Murad Ali, Megersa Debela, Tewfik Bamud

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.

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 19%
Researcher 13 14%
Student > Ph. D. Student 10 11%
Student > Doctoral Student 7 7%
Student > Postgraduate 5 5%
Other 10 11%
Unknown 31 33%
Readers by discipline Count As %
Economics, Econometrics and Finance 20 21%
Business, Management and Accounting 11 12%
Medicine and Dentistry 8 9%
Social Sciences 6 6%
Nursing and Health Professions 3 3%
Other 10 11%
Unknown 36 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2023.
All research outputs
#6,526,385
of 24,187,594 outputs
Outputs from Health Economics Review
#103
of 467 outputs
Outputs of similar age
#98,867
of 320,397 outputs
Outputs of similar age from Health Economics Review
#2
of 9 outputs
Altmetric has tracked 24,187,594 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 467 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.