Evidence map›Paper›PMID 40435274›Full record

ArticlePloS one2025

Utility of population-based HIV impact assessments to understand the associations of stigma with the HIV treatment cascade: Analytical framework using cross-sectional evidence from Tanzania.

Mohamed F Jalloh, Alexander Kailembo, Nicolas Schaad, Sophia A Nur, Prosper Njau, Haruka Maruyama, Kayla Lavilla, Kathy Hageman, Mbaraka Amuri, Nora Hennesy and 4 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Mohamed F JallohDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0002-7206-8042
Alexander KailemboDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.
Nicolas SchaadDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.
Sophia A NurDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.
Prosper NjauTanzania Ministry of Health, National AIDS Control Programme, Strategic Information Unit, Dodoma, Tanzania.
Haruka MaruyamaICAP at Columbia University, Tanzania Office, Dar es Salaam, Tanzania.
Kayla LavillaU.S. Centers for Disease Control and Prevention, Division of Global HIV and TB, Atlanta, United States of America.
Kathy HagemanDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.
Mbaraka AmuriDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.
Nora HennesyDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0002-7763-0321
Eunice MmariDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.
Mahesh SwaminathanDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0001-5827-3245
Leonard MabokoTanzania Commission for AIDS, Dodoma, Tanzania.
George S MgomellaDivision of Global HIV and TB, U.S. Centers for Disease Control and Prevention, Tanzania Office, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStigma is a major barrier to ending HIV as a public health threat. We present an analytical framework for quantifying the effects of HIV-related stigma on the treatment cascade using biomarker data from a Population-based HIV Impact Assessment (PHIA) in Tanzania.

methodsWe first reviewed HIV-related stigma items from 15 PHIA surveys in sub-Saharan Africa. Using nationally representative data of 1,831 diagnosed and undiagnosed PLHIV aged 15 and older in Tanzania, we applied modified Poisson regression models to examine associations of stigma with the treatment cascade, adjusting for HIV knowledge and demographics.

resultsWe identified 41 unique stigma-related items in 13 of the 15 PHIA surveys. In Tanzania, PLHIV who expressed any stigma driver (stigmatizing attitude, discriminatory attitude, or shame) were 27% less likely to know their HIV status (adjusted prevalence ratio [aPR] 0.73; 95%CI [0.65-0.83], p < 0.001), while those expressing all three were almost never aware of their status (aPR < 0.01; 95%CI [0-0.01], p < 0.001). Stigma drivers were not significantly associated with ART use among diagnosed PLHIV or viral load suppression (VLS) among those on ART. Diagnosed PLHIV who felt the need to hide their status when seeking non-HIV healthcare were 9% less likely to be on ART (aPR 0.91; 95%CI [0.85-0.98], p = 0.013), and those on ART were 10% less likely to achieve VLS (aPR 0.90; 95%CI [0.81-0.99], p = 0.047).

conclusionsStigma likely prevented many undiagnosed PLHIV in Tanzania from knowing their status. Fear of healthcare discrimination due to anticipated stigma undermines ART uptake among diagnosed PLHIV and viral suppression among those on ART. PHIA surveys have untapped potential to quantify the effects of HIV-related stigma and inform interventions to end HIV as a public health threat.

Indexed as

HIV InfectionsSocial StigmaAdolescentAdultCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedTanzaniaYoung Adult

Identifiers

PMID40435274
PMCPMC12118844

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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.