Evidence map›Paper›PMID 42131083›Full record

ArticleSAGE open medicine2026

Identifying individual, community and country-level determinants of poor knowledge of mother-to-child transmission of HIV among women in sub-Saharan Africa: spatial and multilevel analysis.

Mihret Getnet, Lamrot Yohannes, Nigusu Worku, Adina Yeshambel Belay, Lakew Asmare, Demiss Mulatu Geberu, Asebe Hagos, Melak Jejaw, Misganaw Guadie Tiruneh, Kaleb Assegid Demissie and 4 more

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Article in SAGE open medicine, 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

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

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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

14 authors.

Mihret GetnetDepartment of Human Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0001-7553-1429
Lamrot YohannesDepartment of Environmental and Occupational Health and Safety, Institute of Public Health, University of Gondar, Gondar, Ethiopia.
Nigusu WorkuDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Adina Yeshambel BelayDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Lakew AsmareDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Demiss Mulatu GeberuDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Asebe HagosDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-8617-0697
Melak JejawDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Misganaw Guadie TirunehDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0002-9543-9416
Kaleb Assegid DemissieDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Yawkal TsegaDepartment of Health System and Management, School of Public Health, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Abel EndawkieDepartement of Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0000-0001-7613-7079
Amare Mesfin WorkieDepartement of Nutrition, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Wubshet Debebe NegashDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mother-to-child transmission (MTCT) of HIV accounts for over 90% of new HIV infections among children. In 2018, a report from the World Health Organization showed that about 14.8 million children between the ages of 0 and 14 years were HIV-exposed globally, of which 13.2 million reside in sub-Saharan Africa (SSA). This study aimed to determine the spatial variation and identify factors of poor Knowledge of MTCT of HIV among women in SSA. Methods: A cross-sectional study was conducted using secondary data of 318,354 women collected during a Demographic Health Survey (DHS) in SSA countries from the 2006-2024. Spatial cluster detection was conducted using SaTScan version 10.1, spatial mapping was performed in ArcGIS version 10.7, and statistical analyses were carried out using Stata version 17. Multilevel logistic regression was used to identify the associations of health and demographic variables with poor knowledge of MTCT. Results: The spatial analysis revealed that poor knowledge of the MTCT of HIV among women of reproductive age significantly varied across countries. The spatial window analysis identified the primary clusters in Madagascar, the Congo Democratic Republic and parts of Angola. Overall, 46% of women had poor knowledge of MTCT of HIV. In multivariable analysis, age of 15 to 24 years (AOR: 1.11, 95% CI 1.04,1.18), no media exposure (AOR: 1.13, 95% CI 1.08, 1.19), being poorest (AOR: 1.17, 95% CI 1.06, 1.28), not working (AOR: 1.07, 95% CI 1.02, 1.12), never tested for HIV (AOR: 1.38, 95% CI 1.21, 1.57), lack of comprehensive knowledge (AOR: 1.16, 95% CI 1.10, 1.21), low community media exposure (AOR: 1.11, 95% CI 1.03, 1.19), Western Africa region (AOR: 1.27, 95% CI 1.20, 1.40), low income (AOR: 1.97, 95% CI 1.51, 2.56), and lower middle income (AOR: 1.53 95% CI 1.19, 1.95) were associated with poor knowledge of MTCT. Conclusion: Spatial analysis demonstrated that poor knowledge of MTCT of HIV among women was unevenly distributed, with significant regional variation across the SSA countries. This study found that individual, community and country-level variables were significantly associated with poor knowledge of MTCT of HIV. The finding highlights the need for targeted, multilevel HIV education and testing programs that prioritize hotspot areas and address disparities in knowledge of MTCT of HIV across SSA.

Indexed as

MTCTpoor knowledgereproductive womensub-Saharan Africa

Identifiers

PMID42131083
PMCPMC13161648

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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.