Evidence map›Paper›PMID 31656977›Full record

ArticleHealth economics review2019

Technical efficiency of neonatal health services in primary health care facilities of Southwest Ethiopia: a two-stage data envelopment analysis.

Kiddus Yitbarek, Gelila Abraham, Ayinengida Adamu, Gebeyehu Tsega, Melkamu Berhane, Sarah Hurlburt, Carlyn Mann, Mirkuzie Woldie

Abstract read
In one paragraph

Article in Health economics review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kiddus YitbarekDepartment of Health Policy and Management, Institute of Health, Jimma University, Jimma, Ethiopia. kiddus.yitbarek@yahoo.com.ORCID http://orcid.org/0000-0002-4935-6871
Gelila AbrahamDepartment of Health Policy and Management, Institute of Health, Jimma University, Jimma, Ethiopia.
Ayinengida AdamuDepartment of Public health, Bahirdar University, Bahirdar, Ethiopia.
Gebeyehu TsegaDepartment of Public health, Bahirdar University, Bahirdar, Ethiopia.
Melkamu BerhaneDepartment of Pediatrics and child health, Institute of health, Jimma University, Jimma, Ethiopia.
Sarah HurlburtDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
Carlyn MannDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, USA.
Mirkuzie WoldieDepartment of Health Policy and Management, Institute of Health, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisparity in resource allocation is an issue among various health delivery units in Ethiopia. To sufficiently address this problem decision-makers require evidence on efficient allocation of resources. Therefore, the purpose of this study was to assess the technical efficiency of primary health care units providing neonatal health services in Southwest Ethiopia.

methodsTwo-stage data envelopment analysis was conducted based on one-year (2016/17) data from 68 health posts and 23 health centers in Southwest Ethiopia. Primary data were collected from each of the facility, respective district health offices and finance and economic cooperation offices. Technical efficiency scores were calculated using data envelopment analysis software version 2.1. Tobit regression was then applied to identify determinants of technical efficiency. STATA version 14 was used in the regression model and for descriptive statistics.

resultsBy utilizing the best combination of inputs, eight health posts (11.76%) and eight health centers (34.78%) were found to be technically efficient in delivering neonatal health services. Compared with others included in the analysis, inefficient health delivery units were using more human and non-salary recurrent resources. The regression model indicated that there was a positive association between efficiency and the health center head's years of experience and the facility's catchment population. Waiting time at the health posts was found to negatively affect efficiency.

conclusionsMost of health posts and the majority of health centers were found to be technically inefficient in delivering neonatal health services. This indicates issues with the performance of these facilities with regards to the utilization of inputs to produce the current outputs. The existing resources could be used to serve additional neonates in the facilities.

Indexed as

Data envelopment analysisNeonatal health servicesPrimary health care unitsSouthwest EthiopiaTechnical efficiency

Identifiers

PMID31656977
PMCPMC6815357

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.