Evidence map›Paper›PMID 33023536›Full record

ArticleBMC pregnancy and childbirth2020

Association between maternal mortality and caesarean section in Ethiopia: a national cross-sectional study.

Ayele Geleto, Catherine Chojenta, Tefera Taddele, Deborah Loxton

Registry-linked trialAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05865873 (Improving Maternal Health Service Utilization Among Women of Reproductive Age in Sidama Regional State, Ethiopia), which is not on this map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

NCT05865873 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Improving Maternal Health Service Utilization Among Women of Reproductive Age in Sidama Regional State, Ethiopia

TypeinterventionalSponsorHawassa UniversityRan2023 to 2023Enrolled1,126ConditionsMaternal DeathArmsHealth education
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Worldwide Wellness of Mothers and Babies (WWOMB): program overview and lessons learned from Ethiopia.Archives of public health = Archives belges de sante publique · 2024
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  7. Factors associated with maternal mortality in eastern Ethiopia: A multicenter case-control study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025
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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

4 authors.

Ayele GeletoSchool of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia. ayele.bali@uon.edu.au.
Catherine ChojentaResearch Centre for Generational Health and Ageing, School of Medicine and Public Health, Faculty of Health and Medicine, the University of Newcastle, Newcastle, Australia.
Tefera TaddeleHealth System and Reproductive Health Directorate, the Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Deborah LoxtonResearch Centre for Generational Health and Ageing, School of Medicine and Public Health, Faculty of Health and Medicine, the University of Newcastle, Newcastle, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies concluded that there is a reduction of maternal deaths with improved access to caesarean section, while other studies showed the existence of a direct association between the two variables. In Ethiopia, literature about the association between maternal mortality and caesarean section is scarce. This study was aimed to assess the association between maternal mortality ratios and caesarean section rates in hospitals in Ethiopia.

methodsAnalysis was done of a national maternal health dataset of 293 hospitals that accessed from the Ethiopian Public Health Institute. Hospital specific characteristics, maternal mortality ratios and caesarean section rates were described. Pearson's correlation coefficient was used to determine the direction of association between maternal mortality ratios and caesarean section rate, taking regions into consideration. Presence of a linear association between these variables was declared statistically significant at p-value < 0.05.

resultsThe overall maternal mortality ratio in Ethiopian hospitals was 149 (95% CI: 136-162) per 100,000 livebirths. There was significant regional variation in maternal mortality ratios, ranging from 74 (95% CI: 51-104) per 100,000 livebirths in Tigray region to 548 (95% CI: 251-1,037) in Afar region. The average annual caesarean section rate in hospitals was 20.3% (95% CI: 20.2-20.5). The highest caesarean section rate of 38.5% (95% CI: 38.1-38.9) was observed in Addis Ababa, while the lowest rate of 5.7% (95% CI: 5.2-6.2) occurred in Somali region. At national level, a statistically non-significant inverse association was observed between maternal mortality ratios and caesarean section rates. Similarly, unlike in other regions, there were inverse associations between maternal mortality ratios and caesarean section rates in Addis Ababa, Afar Oromia and Somali, although associations were not statistically significant.

conclusionsAt national level, a statistically non-significant inverse association was observed between maternal mortality ratios and caesarean section rates in hospitals, although there were regional variations. Additional studies with a stronger design should be conducted to assess the association between population-based maternal mortality ratios and caesarean section rates.

Indexed as

Maternal MortalityCesarean SectionCross-Sectional StudiesEthiopiaFemaleGeographyHospital MortalityHospitalsHumansMaternal DeathMaternal HealthObstetric Labor ComplicationsPregnancyassociationcaesarean section rateEhiopiaMaternal mortality ratio

Identifiers

PMID33023536
PMCPMC7539527

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Registered trials

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.