Evidence map›Paper›PMID 41387819›Full record

ArticleBMC pregnancy and childbirth2025

Effective coverage of skilled birth attendance in Ethiopia: a population-based cross-sectional study.

Zewditu Denu, Kassahun Alemu, Della Berhanu, Atkure Defar, Theodros Getachew, Joanna Schellenberg, Tanya Marchant, Solomon Shiferaw, Amare Tariku, Tadesse Guadu and 4 more

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

14 authors.

Zewditu DenuCollege of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia. zewditudenuabdissa@gmail.com.
Kassahun AlemuDepartment of Epidemiology and Biostatistics, College of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Della BerhanuDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Atkure DefarDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Theodros GetachewHealth System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Joanna SchellenbergDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Tanya MarchantDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Solomon ShiferawSchool of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
Amare TarikuCollege of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Tadesse GuaduCollege of Medicine and Health Sciences, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Girum TayeHealth System and Reproductive Health Research Directorate, Ethiopian Public Health Institute, Addis Ababa, Ethiopia.
Meseret ZelalemMaternal, Child & Adolescent Health Service Lead Executive Office, Federal Ministry of Health, Addis Ababa, Ethiopia.
Lars Ake PerssonDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Seblewengel LemmaDepartment of Disease Control, Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkilled birth attendance is among the crucial maternal health interventions for maternal and neonatal mortality reduction. The availability of core components of services at healthcare facilities and the quality-of-service provision are essential for the effective utilization of skilled birth attendance. Effective coverage measures the availability of essential components at health facilities and the quality of care delivered. This study aimed to measure effective coverage of skilled birth attendance in Ethiopia.

methodsWe applied the cascade approach to measure effective coverage, focusing on four steps up to quality-adjusted coverage as a proxy for effective coverage of skilled birth attendance. To assess the structural quality of facilities, we used the PMA service delivery assessment data in 2019. Effective coverage was defined as the product of skilled birth attendance, facility readiness score, intervention coverage (proportion who received uterotonic injection), and a process quality score.

resultsThe crude coverage for skilled delivery attendance was 54% (95%CI; 52, 56). The average level of facility readiness to provide skilled delivery service was 72%, ranging from 17% for private and non-governmental facilities to 88% for hospitals. The uterotonic injection coverage was 42% and the mean process quality for skilled delivery service was 46%. Based on the effective coverage cascade, the input-adjusted coverage was 38%, and the intervention-adjusted coverage was 16%, and the quality-adjusted coverage was 7%. Low level of facility readiness and low quality of service explain the low effective coverage of skilled delivery attendance. Apart from the overall low level of readiness, there was variability between different levels of facilities. Though the skilled delivery attendance coverage is improving, the low level of readiness, intervention provision, and poor process quality resulted in low effective coverage. The minimum level of readiness needs to be ensured at all levels of facilities to provide skilled delivery services. The minimum level of service readiness and quality of care need to be ensured at all facilities to provide skilled birth attendance.

Indexed as

Delivery, ObstetricHealth FacilitiesMaternal Health ServicesMidwiferyAdultCross-Sectional StudiesEthiopiaFemaleHealth Services AccessibilityHumansPregnancyQuality of Health CareYoung AdultEffective coverageFacility readinessInput-adjustedIntervention-adjustedQuality-adjustedSkilled birth Attendance

Identifiers

PMID41387819
PMCPMC12817767

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LicenceCC BY-NC-ND
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Registered trials

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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.