Evidence map›Paper›PMID 38326785›Full record

ArticleBMC pregnancy and childbirth2024

What predicts health facility delivery among women? analysis from the 2021 Madagascar Demographic and Health Survey.

Ebenezer Kwesi Armah-Ansah, Eugene Budu, Elvis Ato Wilson, Kenneth Fosu Oteng, Nhyira Owusuaa Gyawu, Bright Opoku Ahinkorah, Edward Kwabena Ameyaw

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  3. Modelling spatial heterogeneity in exposure buffers and risk: a hierarchical Bayesian approach.Journal of the Royal Statistical Society. Series C, Applied statistics · 2026
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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 5 institutions in 4 countries.

Ebenezer Kwesi Armah-AnsahDepartment of Population and Development, National Research University - Higher School of Economics, Moscow, Russia. ebenezer.armah-ansah@stu.ucc.edu.gh.ORCID http://orcid.org/0000-0002-8694-6125
Eugene BuduKorle Bu Teaching Hospital, P. O. Box, 77, Accra, Ghana.
Elvis Ato WilsonKintampo Health Research Centre, Ghana Health Service, Kintampo, Ghana.
Kenneth Fosu OtengAshanti Regional Health Directorate, Ghana Health Service, Kumasi, Ghana.
Nhyira Owusuaa GyawuQuality management Unit, Korle Bu Teaching Hospital, P. O. Box, 77, Accra, Ghana.
Bright Opoku AhinkorahSchool of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-6617-237X
Edward Kwabena AmeyawInstitute of Policy Studies and School of Graduate Studies, Lingnan University, Tuen Mun, Hong Kong.
Korle Bu Teaching Hospital · GHGhana Health Service · GHKintampo Health Research Centre · GHNational Research University Higher School of Economics · RUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the pivotal determinants of maternal and neonatal health outcomes hinges on the choice of place of delivery. However, the decision to give birth within the confines of a health facility is shaped by a complex interplay of sociodemographic, economic, cultural, and healthcare system-related factors. This study examined the predictors of health facility delivery among women in Madagascar.

methodsWe used data from the 2021 Madagascar Demographic and Health Survey. A total of 9,315 women who had a health facility delivery or delivered elsewhere for the most recent live birth preceding the survey were considered in this analysis. Descriptive analysis, and multilevel regression were carried out to determine the prevalence and factors associated with health facility delivery. The results were presented as frequencies, percentages, crude odds ratios and adjusted odds ratios (aORs) with corresponding 95% confidence intervals (CIs), and a p-value < 0.05 was used to declare statistical significance.

resultsThe prevalence of health facility delivery was 41.2% [95% CI: 38.9-43.5%]. In the multilevel analysis, women aged 45-49 [aOR = 2.14, 95% CI = 1.34-3.43], those with secondary/higher education [aOR = 1.62, 95% CI = 1.30-2.01], widowed [aOR = 2.25, 95% CI = 1.43-3.58], and those exposed to mass media [aOR = 1.18, 95% CI = 1.00-1.39] had higher odds of delivering in health facilities compared to those aged 15-49, those with no formal education, women who had never been in union and not exposed to mass media respectively. Women with at least an antenatal care visit [aOR = 6.95, 95% CI = 4.95-9.77], those in the richest wealth index [aOR = 2.74, 95% CI = 1.99-3.77], and women who considered distance to health facility as not a big problem [aOR = 1.28, 95% CI = 1.09-1.50] were more likely to deliver in health facilities compared to those who had no antenatal care visit. Women who lived in communities with high literacy levels [aOR = 1.54, 95% CI = 1.15-2.08], and women who lived in communities with high socioeconomic status [aOR = 1.72, 95% CI = 1.28-2.31] had increased odds of health facility delivery compared to those with low literacy levels and in communities with low socioeconomic status respectively.

conclusionThe prevalence of health facility delivery among women in Madagascar is low in this study. The findings of this study call on stakeholders and the government to strengthen the healthcare system of Madagascar using the framework for universal health coverage. There is also the need to implement programmes and interventions geared towards increasing health facility delivery among adolescent girls and young women, women with no formal education, and those not exposed to media. Also, consideration should be made to provide free maternal health care and a health insurance scheme that can be accessed by women in the poorest wealth index. Health facilities should be provided at places where women have challenges with distance to other health facilities. Education on the importance of antenatal care visits should also be encouraged, especially among women with low literacy levels and in communities with low socioeconomic status.

Indexed as

Delivery, ObstetricPrenatal CareAdolescentCross-Sectional StudiesDemographyFemaleHealth FacilitiesHealth SurveysHumansInfant, NewbornMadagascarMothersPregnancyDeliveryDemographic and Health Survey (DHS)Health facilityHealth insuranceMadagascarUniversal health coverage

Identifiers

PMID38326785
PMCPMC10848540
OpenAlexW4391615126

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.