Evidence map›Paper›PMID 35987562›Full record

ArticleBMC pregnancy and childbirth2022

Determinants of health facility delivery among young mothers in Ghana; insights from the 2014 Ghana Demographic and Health Survey.

Emmanuel Anongeba Anaba, Deda Ogum Alangea, Adolphina Addo-Lartey, Emefa Judith Modey, Adom Manu, Stanley Kofi Alor, Kwasi Torpey

Abstract read
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Article in BMC pregnancy and childbirth, 2022. 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
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Emmanuel Anongeba AnabaDepartment of Population, Family and Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana. emmaanaba24@gmail.com.
Deda Ogum AlangeaDepartment of Population, Family and Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.
Adolphina Addo-LarteyDepartment of Epidemiology and Disease Control, School of Public Health, University of Ghana, Accra, Ghana.
Emefa Judith ModeyDepartment of Population, Family and Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.
Adom ManuDepartment of Population, Family and Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.
Stanley Kofi AlorDepartment of Social and Behavioral Sciences, School of Public Health, University of Ghana, Accra, Ghana.
Kwasi TorpeyDepartment of Population, Family and Reproductive Health, School of Public Health, University of Ghana, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, young women deliver at home, often under unhygienic conditions and without skilled birth attendants. This study identified the determinants of health facility delivery among young mothers in Ghana.

methodsWe analysed secondary data from the 2014 Ghana Demographic and Health Survey, which collected data across the former ten administrative regions of Ghana. This study analysed data from the 'women file' by adjusting for the sample weight. STATA/SE version 16 was employed to analyse the data by computing descriptive statistics, Chi-square, and Binary Logistic Regression.

resultsSeven in ten young mothers gave birth in a health facility. Young mothers who had secondary school education were over three-fold more likely to deliver in a health facility (AOR = 3.5, 95% CI: 1.33-9.23) compared with young mothers with no formal education. Young mothers who resided in rural areas had lower odds (73%) of delivering in a health facility (AOR = 0.27; 95% CI: 0.14-0.514) compared with those in urban areas. Young mothers within the richest wealth quintile also had higher odds (8 times) of delivering in a health facility (AOR = 8.24; 95% CI: 0.95-71.77) compared with those within the poorest wealth quintile. Young mothers who obtained four to seven antenatal visits (AOR = 0.53; 95% CI: 0.27-1.03) had lower odds of delivering in a health facility compared with those who obtained eight or more antenatal visits.

conclusionThe majority of young mothers in Ghana gave birth in a health facility. The likelihood of delivering in a health facility was influenced by socio-demographic factors, economic factors and utilization of antenatal care services. Therefore, interventions aimed at increasing utilization of skilled delivery among young women should focus on promoting girl child education, economic status and antenatal care visits.

Indexed as

Delivery, ObstetricRural PopulationDemographyFemaleGhanaHealth FacilitiesHumansPregnancyPrenatal CareDemographic and health surveyGhanaHealth facility deliveryYoung mothers

Identifiers

PMID35987562
PMCPMC9392919

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LicenceCC BY
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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 Socratic graph.