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

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.

Authors

Institutions

Publication Details

Journal
SAGE Open Medicine
Published
2026-05-01
DOI
https://doi.org/10.1177/20503121261449371
Primary Topic
HIV/AIDS Research and Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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, Melak Jejaw, Amare Workie, Yawkal Tsega et al.
SAGE Open Medicine
HIV/AIDS Research and Interventions
article

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, Melak Jejaw, Amare Workie, Yawkal Tsega, Nigusu Worku, Wubshet Debebe Negash, Abel Endawkie, Lamrot Yohannes, Misganaw Guadie Tiruneh, Demiss Mulatu Geberu, Lakew Asmare, Adina Yeshambel Belay, Kaleb Assegid Demissie, Asebe Hagos
article en

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.

SAGE Open MedicineVol. 14
Australian National University (AU), Wollo University (ET), University of Gondar (ET)
No poverty
Openalex Percentile: Top 7%
HIV/AIDS Research and Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.