Evidence map›Paper›PMID 39937712›Full record

SynthesisPloS one2025

Socioeconomic, demographic and obstetric determinants of maternal near miss in Africa: A systematic review.

Mory Diakite, Vincent de Brouwere, Bouchra Assarag, Zakaria Belrhiti, Saad Zbiri, Mohamed Khalis

Abstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
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

6 authors.

Mory DiakiteKankan Regional Hospital, Kankan, Guinea.ORCID 0000-0003-2310-004X
Vincent de BrouwereMohammed VI International School of Public Health, Mohammed VI University of Sciences and Health, Casablanca, Morocco.
Bouchra AssaragNational School of Public Health, Rabat, Morocco.ORCID 0000-0003-2933-2968
Zakaria BelrhitiMohammed VI International School of Public Health, Mohammed VI University of Sciences and Health, Casablanca, Morocco.
Saad ZbiriMohammed VI International School of Public Health, Mohammed VI University of Sciences and Health, Casablanca, Morocco.
Mohamed KhalisMohammed VI International School of Public Health, Mohammed VI University of Sciences and Health, Casablanca, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh rates of maternal mortality and morbidity remain significant health issues in low- and middle-income countries. Despite this, few researchers have investigated the underlying factors of severe maternal complications in sub-Saharan Africa. Therefore, the objective of this systematic review was to determine the socioeconomic, demographic, and obstetric predictors of severe maternal complications in this region.

methodFor this systematic review, we searched PubMed, Scopus and Science Direct between 2000 and 2022. Studies were eligible if they reported a relationship between impending maternal death and one or more socioeconomic, demographic or obstetric determinants. We did not contact the authors of the articles, as we had access to their full texts. The quality of qualitative and quantitative studies was assessed using the Critical Appraisal Skills quality assessment tool.

resultsAmong the 3001 identified studies, this systematic review selected 25 articles. Factors such as economic status, level of education, maternal age, marital status, rural residence, transfers to other facilities, and delays during childbirth were identified as the main determinants of severe complications occurrence in Africa. Disparities in access to maternal healthcare were observed among women from different socioeconomic groups, often due to power imbalances in decision-making processes.

conclusionSeveral factors, including education, prenatal care follow-up, pre-existing medical conditions, method of admission, and mode of delivery, have been identified as significant indicators of the likelihood of severe maternal morbidity. To reduce these cases, it is crucial to implement targeted socio-economic development programs, including improving access to education, strengthening prenatal health services, providing support to pregnant women with pre-existing medical conditions, and ensuring appropriate admission and delivery methods.

Indexed as

Near Miss, HealthcarePregnancy ComplicationsAfricaAfrica South of the SaharaDelivery, ObstetricFemaleHealth Services AccessibilityHumansMaternal Health ServicesMaternal MortalityPregnancyPrenatal CareSocioeconomic Factors

Identifiers

PMID39937712
PMCPMC11819575

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.