Evidence map›Paper›PMID 42050575›Full record

ArticleBMC public health2026

Factors influencing HIV testing among women in Mozambique: insights from the 2022/23 demographic and health survey.

Amr Ahmed Aly Ibrahim, Abdalrahman Salah Shehata, Sara Hosny El-Farargy, Moaz Yasser Darwish, Ahmed Reda Bahr, Karim Samir Attia, Omar Abbas, Mahmoud Shaaban Abdelgalil

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Article in BMC public health, 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

8 authors.

Amr Ahmed Aly IbrahimFaculty of Medicine, Menoufia University, Menoufia, Egypt.ORCID 0009-0008-0439-447X
Abdalrahman Salah ShehataFaculty of Medicine, Qena University, Qena, Egypt.ORCID 0009-0006-8356-5868
Sara Hosny El-FarargyFaculty of Medicine, Benha University, Benha, Egypt.ORCID 0000-0002-3691-7772
Moaz Yasser DarwishFaculty of Medicine, Fayoum University, Fayoum, Egypt.ORCID 0000-0003-3891-058X
Ahmed Reda BahrFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Karim Samir AttiaFaculty of Medicine, Ain-shams University, Cairo, Egypt.ORCID 0009-0008-1637-9779
Omar AbbasFaculty of Medicine, Ain-shams University, Cairo, Egypt.ORCID 0009-0007-2056-665X
Mahmoud Shaaban AbdelgalilFaculty of Medicine, Ain-shams University, Cairo, Egypt. 29908068800596@med.asu.edu.eg.ORCID 0000-0002-7325-0129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMozambique bears a high HIV burden, with low testing uptake among young women. This study analyzes socio-demographic and behavioral factors influencing HIV testing among women aged 15–49, using data from the 2022/23 Demographic and Health Survey (DHS).

methodsA secondary analysis of the Mozambique DHS 2023 dataset was performed using R (Version 4.4.2, R Core Team) to explore factors associated with HIV testing uptake. Variables including age, education, marital status, geographic location, and socioeconomic indicators were analyzed. Descriptive statistics were calculated, and associations were evaluated using a modified Poisson regression model with robust standard errors to estimate risk ratios. Both univariate and multivariable models were used to identify significant predictors, accounting for the survey’s complex design.

resultsThe analysis included 13,183 women aged 15–49 years, of whom 67.56% reported having ever been tested for HIV. Multivariate analysis revealed that older age, higher educational attainment, greater household wealth, living with a partner, recent health facility visits, and internet use were significantly associated with higher likelihood of HIV testing. Conversely, rural residence was significantly associated with lower likelihood of testing. Regional variation in testing uptake was also observed, with most provinces showing significantly higher testing rates compared to Niassa. Variables including religion, health insurance, newspaper reading, and television viewing were not independently associated with HIV testing after adjustment for other covariates (all p > 0.05).

conclusionsMozambique must prioritize expanding HIV testing in rural areas by enhancing healthcare access and community outreach. Promoting awareness through digital platforms and integrating HIV education into public programs can further improve testing uptake. Strengthening education and healthcare services is vital to achieving better prevention and early treatment outcomes.

Indexed as

HIV InfectionsHIV TestingAdolescentAdultFemaleHealth SurveysHumansMiddle AgedMozambiqueSecondary Data AnalysisSociodemographic FactorsSocioeconomic FactorsYoung AdultDHSHIV TestingMozambiqueSocio-Demographic Factors

Identifiers

PMID42050575
PMCPMC13130531

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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.