Evidence map›Paper›PMID 34243787›Full record

ArticleBMC health services research2021

Quality of maternal and newborn health care in Ethiopia: a cross-sectional study.

Abera Biadgo, Aynalem Legesse, Abiy Seifu Estifanos, Kavita Singh, Zewdie Mulissa, Abiyou Kiflie, Hema Magge, Befikadu Bitewulign, Mehiret Abate, Haregeweyni Alemu

Abstract read
In one paragraph

Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 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

31 citing papers in PubMed, 3 syntheses or guidelines 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

10 authors.

Abera BiadgoInstitute for Healthcare Improvement, Ethiopia Project Office, Addis Ababa, Ethiopia. a.b.kefale@gmail.com.
Aynalem LegesseMinistry of health of Ethiopia, Addis Ababa, Ethiopia.
Abiy Seifu EstifanosDepartment of Reproductive, Family and Population Health, School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Kavita SinghDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC, 27599, USA.
Zewdie MulissaInstitute for Healthcare Improvement, Ethiopia Project Office, Addis Ababa, Ethiopia.
Abiyou KiflieInstitute for Healthcare Improvement, Ethiopia Project Office, Addis Ababa, Ethiopia.
Hema MaggeBrigham and Women's Hospital Division of Global Health Equity, Boston, USA.
Befikadu BitewulignInstitute for Healthcare Improvement, Ethiopia Project Office, Addis Ababa, Ethiopia.
Mehiret AbateInstitute for Healthcare Improvement, Ethiopia Project Office, Addis Ababa, Ethiopia.
Haregeweyni AlemuInstitute for Healthcare Improvement, Ethiopia Project Office, Addis Ababa, Ethiopia.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

backgroundDespite reports of universal access to and modest utilization of maternal and newborn health services in Ethiopia, mothers and newborns continue to die from preventable causes. Studies indicate this could be due to poor quality of care provided in health systems. Evidences show that high quality health care prevents more than half of all maternal deaths. In Ethiopia, there is limited knowledge surrounding the status of the quality of maternal and newborn health care in health facilities. This study aims to assess the quality of maternal and neonatal health care provision at the health facility level in four regions in Ethiopia. METHODOLOGY: This study employed a facility-based cross-sectional study design. It included 32 health facilities which were part of the facilities for prototyping maternal and neonatal health quality improvement interventions. Data was collected using a structured questionnaire, key informant interviews and record reviews. Data was entered in Microsoft Excel and exported to STATA for analysis. Descriptive analysis results are presented in texts, tables and graphs. Quality of maternal and neonatal health care was measured by input, process and outputs components. The components were developed by computing scores using standards used to measure the three components of the quality of maternal and neonatal health care.

resultThe study was done in a total of 32 health facilities: 5 hospitals and 27 health centers in four regions. The study revealed that the average value of the quality of the maternal and neonatal health care input component among health facilities was 62%, while the quality of the process component was 43%. The quality of the maternal and neonatal health output component was 48%. According to the standard cut-off point for MNH quality of care, only 5 (15.6%), 3 (9.3%) and 3 (10.7%) of health facilities met the expected input, process and output maternal and neonatal health care quality standards, respectively.

conclusionThis study revealed that the majority of health facilities did not meet the national MNH quality of care standards. Focus should be directed towards improving the input, process and output standards of the maternal and neonatal health care quality, with the strongest focus on process improvement.

Indexed as

Infant HealthMaternal Health ServicesCross-Sectional StudiesEthiopiaFemaleHealth FacilitiesHumansInfant, NewbornPregnancyQuality of Health CareEthiopiaHealth facilitiesInputMNH quality of careOutputProcess

Identifiers

PMID34243787
PMCPMC8272353

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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.