Evidence map›Paper›PMID 33395441›Full record

Observational studyPloS one2021

Applying the WHO ICD-MM classification system to maternal deaths in a tertiary hospital in Nigeria: A retrospective analysis from 2014-2018.

Godwin O Akaba, Obiageli E Nnodu, Nessa Ryan, Emmanuel Peprah, Teddy E Agida, Dilly O C Anumba, Bissallah A Ekele

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Godwin O AkabaDepartment of Obstetrics and Gynaecology, College of Health Sciences, University of Abuja/University of Abuja Teaching Hospital, Gwagwalada, Nigeria.ORCID 0000-0002-8149-5492
Obiageli E NnoduDepartment of Haematology and Blood Transfusion, College of Health Sciences, University of Abuja/University of Abuja Teaching Hospital, Gwagwalada, Nigeria.
Nessa RyanNew York University School of Global Public Health, New York University, New York, NY, United States of America.
Emmanuel PeprahNew York University School of Global Public Health, New York University, New York, NY, United States of America.
Teddy E AgidaDepartment of Obstetrics and Gynaecology, College of Health Sciences, University of Abuja/University of Abuja Teaching Hospital, Gwagwalada, Nigeria.
Dilly O C AnumbaAcademic Unit of Reproductive and Developmental Medicine, University of Sheffield, Sheffield, United Kingdom.
Bissallah A EkeleDepartment of Obstetrics and Gynaecology, College of Health Sciences, University of Abuja/University of Abuja Teaching Hospital, Gwagwalada, Nigeria.
University of Abuja Teaching Hospital · NGNew York University · USUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAddressing the problem of maternal mortality in Nigeria requires proper identification of maternal deaths and their underlying causes in order to focus evidence-based interventions to decrease mortality and avert morbidity.

objectivesThe objective of the study was to classify maternal deaths that occurred at a Nigerian teaching hospital using the WHO International Classification of Diseases Maternal mortality (ICD-MM) tool.

methodsThis was a retrospective observational study of all maternal deaths that occurred in a tertiary Nigerian hospital from 1st January 2014 to 31st December,2018. The WHO ICD-MM classification system for maternal deaths was used to classify the type, group, and specific underlying cause of identified maternal deaths. Descriptive analysis was performed using Statistical Package for Social Sciences (SPSS). Categorical and continuous variables were summarized respectively as proportions and means (standard deviations).

resultsThe institutional maternal mortality ratio was 831/100,000 live births. Maternal deaths occurred mainly amongst women aged 25-34 years;30(57.7%), without formal education; 22(42.3%), married;47(90.4%), unbooked;24(46.2%) and have delivered at least twice;34(65.4%). The leading causes of maternal death were hypertensive disorders in pregnancy, childbirth, and the puerperium (36.5%), obstetric haemorrhage (30.8%), and pregnancy related infections (17.3%). Application of the WHO ICD-MM resulted in reclassification of underlying cause for 3.8% of maternal deaths. Postpartum renal failure (25.0%), postpartum coagulation defects (17.3%) and puerperal sepsis (15.4%) were the leading final causes of death. Among maternal deaths, type 1, 2, and 3 delays were seen in 30(66.7%), 22(48.9%), and 6(13.3%), respectively.

conclusionOur institutional maternal mortality ratio remains high. Hypertensive disorders during pregnancy, childbirth, and the puerperium and obstetric haemorrhage are the leading causes of maternal deaths. Implementation of evidence-based interventions both at the hospital and community levels may help in tackling the identified underlying causes of maternal mortality in Nigeria.

Indexed as

AdultCause of DeathFemaleHumansInternational Classification of DiseasesMaternal MortalityNigeriaObstetric Labor ComplicationsPostpartum HemorrhagePregnancyPregnancy ComplicationsPuerperal InfectionRetrospective StudiesTertiary Care CentersWorld Health OrganizationYoung Adult

Identifiers

PMID33395441
PMCPMC7781363
OpenAlexW3118817344

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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.