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Background: Ethiopia is one of the countries in sub-Saharan Africa with markedly high maternal
mortality ratio. The improvement towards achieving MDG 5 was very slow in the country. And also
attaining the new SDG 3.1 is difficult if it continues at this pace. The health systems in Ethiopia faced
with critical resource constraints in extending maternal health services of acceptable quality.
Consequently, using the available health resources to attain maximum possible maternal health service
and reduce maternal mortality is the most important activity of the health sector in the country.
Objective: To assess the technical efficiency of public hospitals in selected zones of Oromia regional
state, Ethiopia, in the provision of maternal health services, 2014/2015 (2007 EFY).
Methods and Participants: Health facility based cross-sectional study was conducted. Data were
collected from 14 primary and secondary hospitals from March 25 to April 18, 2016. A structured and
pretested checklist based interview and document review was used to collect data. Two stage Data
Envelopment Analysis was performed with input orientation and variable returns to scale assumptions.
The data were entered in to Epi Data version 3.1, and transferred to SPSS version 20 software for
descriptive analysis. Technical efficiency scores were computed using the Data Envelopment Analysis
Programme, version 2.1 at the first stage. And at second stage predictors were determined by tobit
regression using STATA version 12.0.
Result: Fourteen primary and secondary hospitals were included in the study. The assessment of maternal
health service delivery efficiency among the 14 hospitals revealed that, nine (64.2%) hospitals were
technically efficient with mean score of 85.1% (SD = 27.51%). Twelve (85.7%) hospitals were found to
be pure technically efficient and nine hospitals were scale efficient with mean score of 99.24% (SD =
2.02%) and 85.86% (SD = 27.79%) respectively. The inefficient hospitals used excess resources like nonsalary expenditure 0.97%, salary expenditures of administrative staff 2.28%, physicians 4.85%, clinical
and midwife nurses 5.85%, other technical staff 4.95% and number of class rooms and beds for maternal
health service 1.85% and 9.62%, respectively. Having the excess resources the hospitals could increase
numbers of antenatal care users by 1.12%, deliveries by 3.22%, safe abortion service by 3.49% and post
abortion service by 7.84%.The tobit regression analysis showed that average waiting time for maternal
health service was negatively associated with efficiency. On the other hand, level of the hospital service
years of the hospitals and catchment population of the hospitals were positively associated with efficiency
of the hospitals in maternal health service.
Conclusion: Findings from this study showed that most of hospitals are technically efficient and around
two third of the hospitals were operating as scale efficient in maternal health service. The inefficiency is a
result of excess technical and administrative staff, beds, non-salary expenses and class rooms.
Alternatively while taking the excess resources; the hospitals did not address maternal health service
users. Level of the hospitals, catchment population, and service year’s increase; and average waiting time
reduction were determinants of technical efficiency of public hosp |
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