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Individual and community-level determinants and spatial distribution of prenatal HIV test uptake in Ethiopia

Spatial and multilevel analysis

Bibliographic Data

ID22070874
AuthorsNuhamin Tesfa Tsega (0000-0002-8194-9896, University of Gondar, corresponding author), Daniel Belay (0000-0002-5724-6234, University of Gondar), Melaku Hunie Asratie (0000-0002-2281-7519, University of Gondar), Moges Gashaw (0000-0002-4532-1786, University of Gondar), Mastewal Endalew (0000-0001-5201-2861, University of Gondar), Fantu Mamo Aragaw (0000-0002-4128-077X, University of Gondar)
Year2023
Volume11
Pages962539-962539
Publication date2023-02-21
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.962539
PMID36895690
OpenAlexW4321458590
LanguageEN
Citations received1
References cited53

Introduction: Human immunodeficiency virus (HIV) testing and counseling services are routine prenatal care services for the prevention of mother-to-child transmission of HIV. Although the prevalence of HIV infection is high among women, evidence suggests that the uptake of HIV testing during prenatal services in Ethiopia is scarce. Therefore, the aim of this study was to investigate individual- and community-level determinants and the spatial distribution of prenatal HIV test uptake in Ethiopia based on the 2016 Ethiopian Demographic and Health Survey. Methods: Data were accessed from the 2016 Ethiopian Demographic and Health Survey. A total weighted sample of 4,152 women aged 15-49 years who gave birth in the 2 years preceding the survey were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify cold-spot areas and ArcGIS V.10.7 to explore the spatial distribution of prenatal HIV test uptake. Stata version 14 software was used to extract, clean, and analyze the data. A multilevel logistic regression model was used to identify the individual- and community-level determinants of prenatal HIV test uptake. An adjusted odds ratio (AOR) with a corresponding 95% confidence interval (CI) was used to declare significant determinants of prenatal HIV test uptake. Results: The prevalence of HIV test uptake was 34.66% (95% CI: 33.23, 36.13%). The spatial analysis revealed that the distribution of prenatal HIV test uptake was significantly varied across the country. In the multilevel analysis, the following individual and community-level determinants were significantly associated with prenatal HIV test uptake: women who attained primary education (AOR = 1.47, 95% CI: 1.15, 1.87) and secondary and higher education (AOR = 2.03, 95% CI: 1.32, 3.11); women from middle (AOR = 1.46; 95% CI: 1.11, 1.91) and rich household wealth status (AOR = 1.81; 95% CI: 1.36, 2.41); those who had health facility visits in the last 12 months (AOR = 2.17; 95% CI: 1.77, 2.66); women who had higher (AOR = 2,07; 95% CI: 1.66, 2.59) and comprehensive HIV-related knowledge (AOR = 2.90; 95% CI: 2.09, 4.04); women who had moderate (AOR = 1.61; 95% CI: 1.27, 2.04), lower (AOR = 1.52; 95% CI: 1.15, 1.99), and no stigma attitudes (AOR = 2.67; 95% CI: 1.43, 4.99); those who had awareness of MTCT (AOR = 1.83; 95% CI: 1.50, 2.24); those from rural areas (AOR = 0.31; 95% CI: 0.16, 0.61); high community level of education for women (AOR =1.61; 95% CI: 1.04, 2.52); and those living in large central (AOR = 0.37; 95% CI: 0.15, 0.91) and small peripheral areas (AOR = 0.22; 95% CI: 0.08, 0.60). Conclusion: In Ethiopia, prenatal HIV test uptake had significant spatial variations across the country. Both individual- and community-level determinants were found to be associated with prenatal HIV test uptake in Ethiopia. Hence, the impact of these determinants should be recognized while developing strategies in "cold spot" areas of prenatal HIV test uptake to enhance prenatal HIV test uptake in Ethiopia

Biology · Environmental health · Family medicine · Geography · Health services · Hiv test · Multilevel model · Population · Sociology · Spatial distribution · Statistics · Adolescent Sexual and Reproductive Health · Demography · HIV Research and Treatment · HIV/AIDS Research and Interventions · Mathematics · Medicine · Psychology

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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