Evidence map›Paper›PMID 40877892›Full record

ArticleBMC pregnancy and childbirth2025

Trends in health facility deliveries by time, region, and sociodemographic characteristics in low- and middle- income countries.

Tessa Johnson, Hayley Pierce

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. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

2 authors.

Tessa JohnsonBrigham Young University, Provo, UT, USA. tabrewer@byu.edu.
Hayley PierceBrigham Young University, Provo, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccess to health facility delivery services is critical for reducing the persistently high rates of maternal mortality worldwide. However, sociodemographic and regional disparities continue to limit women's ability to access these services. This study addresses a gap in the literature by analyzing and comparing how these disparities vary across regions and change over time.

methodsThis study presents an analysis of maternal health facility deliveries across time, regions, and a range of sociodemographic variables, with a focus on the combined effects of household wealth and urban-rural residence. We analyzed Demographic and Health Surveys (DHS) data from 52 countries collected between 2000 and 2023 (N = 1,929,073). Mixed-effects logistic regression models were used to estimate the odds of delivering in a health facility, adjusting for key sociodemographic factors.

resultsDespite overall increases in facility-based childbirths, significant inequalities in access to maternal health services persist. Rural poor women, in particular, face substantial disadvantages, with urban rich women having nearly four times the odds of delivering in a health facility. This disparity remains consistent across regions.

conclusionThis study contributes to existing research by examining trends in health facility deliveries over time, across regions, and by key demographic factors. The findings offer insights for future policy interventions aimed at reducing maternal and infant mortality, including improvements in transportation support, affordability, and maternal health education, particularly among disadvantaged populations such as rural poor women.

Indexed as

Delivery, ObstetricDeveloping CountriesHealthcare DisparitiesHealth FacilitiesHealth Services AccessibilityMaternal Health ServicesAdolescentAdultFemaleHumansLogistic ModelsPregnancyRural PopulationSociodemographic FactorsSocioeconomic FactorsUrban PopulationFacility-based deliveryMaternal healthSociodemographic disparities

Identifiers

PMID40877892
PMCPMC12392571

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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.