Evidence map›Paper›PMID 41431952›Full record

SynthesisJournal of the International AIDS Society2025

Wealth, income and HIV in sub-Saharan Africa: a systematic review.

Kaitlyn Atkins, Kirsty M Sievwright, Holly Nishimura, Caitlin E Kennedy

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the International AIDS Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kaitlyn AtkinsDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-8302-542X
Kirsty M SievwrightDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-7066-3841
Holly NishimuraDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Caitlin E KennedyDepartment of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-6820-063X

Funding

TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
F31MH124470 and T32MH019139National Institute of Mental Health F31MH124470National Institute of Mental Health F31MH124535National Institute of Mental Health F31MH124583National Institute of Mental Health R25MH083620National Institute of Mental Health T32MH019139NIMH NIH HHS T32 MH019105the National Institute of Mental Health F31MH124535the National Institute of Mental Health F31MH124583 and R25MH083620the National Institute on Minority Health & Health Disparities T37MD003406
6 · The paper itself

Abstract

introductionWhile economic vulnerability is an established driver of health disparities, the relationships between HIV and wealth, income, and economic inequality have been less consistently established. We conducted a systematic review of studies examining associations between wealth, income, and economic inequality and HIV incidence and prevalence in sub-Saharan Africa (SSA).

methodsFollowing PRISMA guidelines, we searched PubMed, SCOPUS, Embase, EconLit and PsycINFO for quantitative publications through June 2024 examining the relationship between wealth, income or inequality and HIV status, acquisition, prevalence or incidence in SSA. From September 2022 to October 2024, we extracted data using standardized forms, assessed risk of bias and qualitatively summarized results.

resultsOverall, 47 studies covering 48 countries met the inclusion criteria. Studies had generally low risk of bias, and most focused on a single country (n = 38), assessed household wealth as the exposure (n = 36) and employed cross-sectional designs (n = 33). Studies assessing wealth and HIV incidence consistently identified a protective effect, while findings around HIV incidence and income were mixed. In studies assessing HIV prevalence, findings on HIV and individual and household income or wealth were mixed. Economic inequality was consistently associated with increased HIV prevalence at community, sub-national and national levels. DISCUSSION: Most included studies were cross-sectional, among the general population, and secondary analyses of existing data. These can generate new insights about potential economic predictors of HIV, but longitudinal research is needed to understand economic impacts on HIV in evolving programme and policy contexts. Limited studies outside the general population highlighted opportunities for future research exploring economic drivers of HIV among the key population and potential differences in the HIV-wealth relationship by gender and urbanicity.

conclusionsThe evidence on HIV and wealth or income is mixed and varies by setting and population, while a limited literature suggests that economic inequality is more consistently associated with HIV risk. Longitudinal research is needed to assess causal relationships between economic factors and HIV, and to identify potential mediators of this relationship.

Indexed as

HIV InfectionsIncomeAfrica South of the SaharaHumansIncidencePrevalenceSocioeconomic Factorsincomeinequalitysocio‐economic statussub‐Saharan Africasystematic reviewwealth

Identifiers

PMID41431952
PMCPMC12723447

What OpenQuestion holds

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Registered trials

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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.