Evidence map›Paper›PMID 42688834›Full record

ArticleOpen access journal of contraception2026

Magnitude of Modern Contraceptive Use and Its Determinants Among Sexually Active Adolescent Girls and Young Women in Selected High HIV Prevalence Southern African Countries: A Multilevel Mixed-Effect Analysis.

Samkeliso G Shongwe, Mduduzi Colani Shongwe, Christopher O Aimakhu, Anas M Malami, Ronald Kooko

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Article in Open access journal of contraception, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Samkeliso G ShongweDepartment of Reproductive Health, Pan African University Life and Earth Sciences Institute (Including Health and Agriculture), University of Ibadan, Ibadan, Nigeria.ORCID 0009-0006-3013-4132
Mduduzi Colani ShongweDepartment of Midwifery Science, Faculty of Health Sciences, University of Eswatini, Mbabane, Eswatini.ORCID 0000-0002-7358-1016
Christopher O AimakhuDepartment of Obstetrics and Gynaecology, College of Medicine, University of Ibadan/University College Hospital, Ibadan, Oyo, Nigeria.ORCID 0000-0002-9012-2567
Anas M MalamiDepartment of Reproductive Health, Pan African University Life and Earth Sciences Institute (Including Health and Agriculture), University of Ibadan, Ibadan, Nigeria.ORCID 0000-0002-6384-8389
Ronald KookoDepartment of Integrated Epidemiology, Surveillance and Public Health Emergencies, Uganda Ministry of Health, Kampala, Uganda.ORCID 0000-0003-4872-7017

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Unintended pregnancies remain a major public health concern in Sub-Saharan Africa (SSA), especially among adolescent girls and young women (AGYW). In Southern Africa, where HIV prevalence is among the highest globally, modern contraceptive use is critical for both pregnancy prevention and HIV risk reduction. Therefore, this study sought to determine the magnitude and multilevel determinants of modern contraceptive use among sexually active AGYW in six Southern African countries with high HIV prevalence. Methods: This study used cross-sectional data from the Demographic and Health Surveys (DHSs) of six Southern African countries, including a weighted sample of 18,265 sexually active AGYW aged 15-24 years. We fitted multilevel logistic regression models to examine the individual and community-level determinants of modern contraceptive use, with statistical significance at Results: Most participants were aged 20-24 years (61.7%). The pooled magnitude of modern contraceptive use among sexually active AGYW was 46.3% (95% CI: 45.2-47.5%). At individual level, AGYW with higher education (aOR = 3.73, 95% CI: 2.89-4.81), employed (aOR = 1.20, 95% CI: 1.13-1.29), married (aOR = 1.29, 95% CI: 1.19-1.40), lacked desire for more children (aOR = 1.23, 95% CI: 1.06-1.43), and those with a recent health facility visit (aOR = 1.32, 95% CI: 1.22-1.42) had higher odds of modern contraceptive use. At the community level, AGYW from communities with higher education levels (aOR = 1.21, 95% CI: 1.10-1.34) also had increased odds of modern contraceptive use. Conclusion and Recommendations: Less than half of AGYW in the six high HIV prevalence Southern African countries reported modern contraceptive use. Several multilevel determinants influenced uptake. Therefore, governments in the six countries need to address disparities through targeted policies and interventions, such as enhancing education, engaging in mass media outreach programmes, and improving healthcare access, which could increase modern contraceptive use, reduce unintended pregnancies, and contribute to HIV prevention efforts.

Indexed as

family planningHIV prevalencesexual and reproductive healthsustainable development goalsunintended pregnancy

Identifiers

PMID42688834
PMCPMC13537170

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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.