Evidence map›Paper›PMID 38176743›Full record

ArticleBMJ global health2024

Convergence of HIV and non-communicable disease epidemics: geospatial mapping of the unmet health needs in an HIV hyperendemic community in South Africa.

Diego F Cuadros, Chayanika Devi, Urisha Singh, Stephen Olivier, Alison C Castle, Yumna Moosa, Johnathan A Edwards, Hae-Young Kim, Mark J Siedner, Emily B Wong and 1 more

Abstract read
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Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Diego F CuadrosDigital Epidemiology Laboratory, University of Cincinnati, Cincinnati, OH, USA diego.cuadros@uc.edu.ORCID 0000-0001-7060-4203
Chayanika DeviDigital Epidemiology Laboratory, University of Cincinnati, Cincinnati, OH, USA.
Urisha SinghAfrica Health Research Institute, Durban, South Africa.
Stephen OlivierAfrica Health Research Institute, Durban, South Africa.
Alison C CastleAfrica Health Research Institute, Durban, South Africa.
Yumna MoosaAfrica Health Research Institute, Durban, South Africa.
Johnathan A EdwardsDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
Hae-Young KimDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Mark J SiednerAfrica Health Research Institute, Durban, South Africa.
Emily B WongAfrica Health Research Institute, Durban, South Africa.
Frank TanserCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
The changing face of HIV in the era of COVID-19: Maximising HIV incidence reduction through dynamic targeting of current and future distributions of acquisition risk.R01MH131480 · NIMH · STELLENBOSCH UNIVERSITY · PI Henry Godwell Mwambi, Frank Courteney Tanser · 2023 to 2026
$2.0M
Mentoring patient-oriented research to improve cardiovascular health among people with HIV in sub-Saharan AfricaK24HL166024 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 2022 to 2026
$616k
Quantification of patterns of multimorbidity to develop effective and efficient models of HIV, TB and NCD co-care in rural South AfricaR21TW011687 · FIC · KWAZULU-NATAL RESEARCH INSTITUTE TB-HIV · PI TANSER, FRANK COURTENEY, WONG, EMILY BETH · 2020 to 2021
$347k
FIC NIH HHS D43 TW010543FIC NIH HHS R21 TW011687NHLBI NIH HHS K24 HL166024NIAID NIH HHS T32 AI007433NIMH NIH HHS R01 MH131480Wellcome Trust
6 · The paper itself

Abstract

introductionAs people living with HIV (PLHIV) are experiencing longer survival, the co-occurrence of HIV and non-communicable diseases has become a public health priority. In response to this emerging challenge, we aimed to characterise the spatial structure of convergence of chronic health conditions in an HIV hyperendemic community in KwaZulu-Natal, South Africa.

methodsIn this cross-sectional study, we used data from a comprehensive population-based disease survey conducted in KwaZulu-Natal, South Africa, which collected data on HIV, diabetes and hypertension. We implemented a novel health needs scale to categorise participants as: diagnosed and well-controlled (Needs Score 1), diagnosed and suboptimally controlled (Score 2), diagnosed but not engaged in care (Score 3) or undiagnosed and uncontrolled (Score 4). Scores 2-4 were indicative of unmet health needs. We explored the geospatial structure of unmet health needs using different spatial clustering methods.

resultsThe analytical sample comprised 18 041 individuals. We observed a similar spatial structure for HIV among those with combined needs Score 2-3 (diagnosed but uncontrolled) and Score 4 (undiagnosed and uncontrolled), with most PLHIV with unmet needs clustered in the southern urban and peri-urban areas. Conversely, a high prevalence of need Scores 2 and 3 for diabetes and hypertension was mostly distributed in the more rural central and northern part of the surveillance area. A high prevalence of need Score 4 for diabetes and hypertension was mostly distributed in the rural southern part of the surveillance area. Multivariate clustering analysis revealed a significant overlap of all three diseases in individuals with undiagnosed and uncontrolled diseases (unmet needs Score 4) in the southern part of the catchment area.

conclusionsIn an HIV hyperendemic community in South Africa, areas with the highest needs for PLHIV with undiagnosed and uncontrolled disease are also areas with the highest burden of unmet needs for other chronic health conditions, such as diabetes and hypertension. Our study has revealed remarkable differences in the distribution of health needs across the rural to urban continuum even within this relatively small study site. The identification and prioritisation of geographically clustered vulnerable communities with unmet health needs for both HIV and non-communicable diseases provide a basis for policy and implementation strategies to target communities with the highest health needs.

Indexed as

Diabetes MellitusHIV InfectionsHypertensionNoncommunicable DiseasesCross-Sectional StudiesHumansSouth AfricaDiabetesEpidemiologyGeographic information systemsHIVHypertension

Identifiers

PMID38176743
PMCPMC10773360

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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.