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Determinants of HIV Testing Uptake Among Adolescent Girls and Young Women in Mainland Tanzania: A Stratified Analysis of the 2016/17 and 2022/2023 National Surveys

Kinoko, D. W.; Kavindi, A. C.; Yuda, P.; Tibenderana, J. R.; Nyaki, A. Y.; Msuya, S. E.; Mahade, M. J.

2026-02-16 hiv aids
10.64898/2026.02.12.26346133 medRxiv
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BackgroundAdolescent girls and young women (AGYW) are disproportionately vulnerable to HIV. Despite expanded HIV testing services (HTS), the majority of AGYW remain unaware of their HIV status. This study aimed to assess determinants of HIV testing uptake among AGYW in mainland Tanzania before and after stratifying by age group (15-19 and 20-24 years) using data from three national surveys conducted over time. MethodologyA cross-sectional secondary data analysis was conducted using data from the Tanzania HIV Impact Surveys (2016/17 and 2022/23), obtained from the Population-based HIV Impact Assessment on 23/04/2025. Data analysis was performed using STATA version 17. Modified Poisson regression models were used to identify factors associated with HIV testing uptake before and after stratifying by age group (15-19 and 20-24 years). Results were presented using the adjusted prevalence ratio (APR) with a 95% confidence interval. ResultsHIV testing uptake among adolescents remained 40% in the years 2016/17 and 2022/23, while it increased from 86% to 90% among young women, respectively. Key factors consistently associated with higher prevalence of HIV testing uptake included being in a union, cohabiting, or formerly married; having secondary or higher education levels; and a history of sexually transmitted infections (STIs). ConclusionHIV testing uptake among AGYW in Tanzania has improved over time, with significant disparities between adolescents and young women. These findings highlight the need for age-specific strategies, intensifying adolescent-focused interventions while sustaining efforts among young women and reinforcing integrated reproductive health and HIV services.

Published in PLOS One · not in our set (fewer than 10 published preprints to learn from) · training set

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