Evidence map›Paper›PMID 40017891›Full record

ArticleBMJ public health2023

Burden and causes of pregnancy-related mortality in The Gambia: evidence from census and health and demographic surveillance data.

Momodou Jasseh, Nyakassi Sanyang, Mustapha Bittaye, Nuredin I Mohammed, Ursula Maria Gazeley, Martin Antonio, Georges Reniers

Abstract read
In one paragraph

Article in BMJ public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Momodou JassehMedical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia.ORCID 0000-0002-1026-1082
Nyakassi SanyangThe Gambia Bureau of Statistics, Banjul, Gambia.
Mustapha BittayeDepartment of Health Services, Ministry of Health, The Gambia, Banjul, Gambia.
Nuredin I MohammedMedical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Ursula Maria GazeleyInfecitous Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0003-3309-7411
Martin AntonioMedical Research Council Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, Gambia.
Georges ReniersDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Gambia lacks capacity to estimate its burden and causes of pregnancy-related mortality (PRM) to guide reproductive health programming. We used census and Health and Demographic Surveillance System (HDSS) data from Farafenni and Basse to establish levels and causes of PRM in The Gambia. Methods: Using reported deaths and births in the 2013 Gambian census, national and regional pregnancy-related mortality ratios (PRMRatios) were derived as the ratio of pregnancy-related deaths (PRDs) per 100 000 live births (lbs). Verbal autopsies were interpreted using InterVA-5, and PRDs linked with extracted HDSS data to estimate annual PRMRatios. Results: The census yielded national PRMRatio of 861 per 100 000 lbs in 2012. Regional levels of 1877, 1232 and 1096 per 100 000 lbs were registered in rural regions of Kuntaur, Mansakonko and Basse, respectively; while urban areas of Banjul and Kanifing registered about half these levels. Women aged 15-19 and 40-49 had greater risks of dying from pregnancy-related causes. HDSS data produced lower PRMRatios (95% CI) ranging from 858 per 100 000 lbs (149-4969) for Farafenni in 2005, and 479 per 100 000 lbs (328-698) for Basse in 2008 to 184 (24-1450) and 173 (61-487) per 100 000 lbs, respectively. InterVA-5 returned pregnancy-induced hypertension and obstetric haemorrhage as the main causes, accounting for at least 70% of all PRDs. Conclusion: The census-based PRMRatios for 2012 were consistent with the sociodemographic and reproductive health indicators that prevailed at that time and represented the burden of PRM. While HDSS-derived PRMRatios were lower, the cause-of-death distribution produced was consistent with previous observations elsewhere.

Indexed as

DemographyPopulation SurveillancePublic Health

Identifiers

PMID40017891
PMCPMC11812687

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