Individual and Contextual Determinants of HIV Testing Practices Among Adolescent Girls and Young Women in Sub-Saharan Africa: A Multi-Level Mixed-Effects Analysis.
{"title":"Individual and Contextual Determinants of HIV Testing Practices Among Adolescent Girls and Young Women in Sub-Saharan Africa: A Multi-Level Mixed-Effects Analysis.","authors":"Tsegaamlak Kumelachew Derse, Desalegn Mitiku Kide, Addisu Simachew Asgai, Tadios Lidetu, Jenberu Mekurianew Kelkay, Zemenu Addis, Asaye Worku Agegn","doi":"10.1177/23259582261494706","DOIUrl":null,"url":null,"abstract":"<p><p>BackgroundAdolescent girls and young women (AGYW) in Sub-Saharan Africa (SSA) face a disproportionate HIV risk. Achieving UNAIDS 95-95-95 targets requires high diagnostic coverage, yet critical gaps persist. This multi-country study evaluated individual- and community-level factors associated with HIV testing across 21 SSA nations.MethodsSecondary data analysis was performed on a pooled sample of 92,935 young women (ages 15-24) from recent Demographic and Health Surveys (DHS) across 1,678 primary sampling units (clusters). Multi-level mixed-effects logistic regression was utilized to assess individual (Level-1) and contextual community-level (Level-2) factors associated with lifetime HIV testing practices.ResultsLifetime HIV testing prevalence was 44.74% (n = 41,576), exposing a 55.26% testing gap. In the fully adjusted model (Model III), age (20-24 vs. 15-19 years: Adjusted Odds Ratio (AOR) = 2.342, 95% Confidence Interval (CI: 2.262, 2.424) and higher formal education (AOR) = 4.975, 95% (CI: 4.548, 5.443) were strongly associated with testing. Marital status showed significant associations, peaking among widowed, divorced, or separated women (AOR) = 5.160, 95% (CI: 4.665, 5.706). Comprehensive HIV knowledge doubled the odds of testing (AOR) = 2.024, 95% (CI: 1.958, 2.093). Contextually, high community media saturation was positively associated with testing (AOR) = 2.803, 95% (CI: 2.295, 3.422), whereas high community-level education demonstrated an inverse association (AOR) = 0.314, 95% (CI: 0.261, 0.378). The residual Median Odds Ratio (MOR = 1.30) indicated moderate cluster-level variation.ConclusionHIV testing practices among SSA young women are associated with nested sociodemographic, cognitive, and community-level factors. Strategies targeting expanded community media engagement, youth-friendly out-of-clinic screening, and discreet HIV self-testing options may help improve diagnostic coverage.</p>","PeriodicalId":17328,"journal":{"name":"Journal of the International Association of Providers of AIDS Care","volume":"25 ","pages":"23259582261494706"},"PeriodicalIF":2.1000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the International Association of Providers of AIDS Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/23259582261494706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/10/1 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
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Abstract
BackgroundAdolescent girls and young women (AGYW) in Sub-Saharan Africa (SSA) face a disproportionate HIV risk. Achieving UNAIDS 95-95-95 targets requires high diagnostic coverage, yet critical gaps persist. This multi-country study evaluated individual- and community-level factors associated with HIV testing across 21 SSA nations.MethodsSecondary data analysis was performed on a pooled sample of 92,935 young women (ages 15-24) from recent Demographic and Health Surveys (DHS) across 1,678 primary sampling units (clusters). Multi-level mixed-effects logistic regression was utilized to assess individual (Level-1) and contextual community-level (Level-2) factors associated with lifetime HIV testing practices.ResultsLifetime HIV testing prevalence was 44.74% (n = 41,576), exposing a 55.26% testing gap. In the fully adjusted model (Model III), age (20-24 vs. 15-19 years: Adjusted Odds Ratio (AOR) = 2.342, 95% Confidence Interval (CI: 2.262, 2.424) and higher formal education (AOR) = 4.975, 95% (CI: 4.548, 5.443) were strongly associated with testing. Marital status showed significant associations, peaking among widowed, divorced, or separated women (AOR) = 5.160, 95% (CI: 4.665, 5.706). Comprehensive HIV knowledge doubled the odds of testing (AOR) = 2.024, 95% (CI: 1.958, 2.093). Contextually, high community media saturation was positively associated with testing (AOR) = 2.803, 95% (CI: 2.295, 3.422), whereas high community-level education demonstrated an inverse association (AOR) = 0.314, 95% (CI: 0.261, 0.378). The residual Median Odds Ratio (MOR = 1.30) indicated moderate cluster-level variation.ConclusionHIV testing practices among SSA young women are associated with nested sociodemographic, cognitive, and community-level factors. Strategies targeting expanded community media engagement, youth-friendly out-of-clinic screening, and discreet HIV self-testing options may help improve diagnostic coverage.