Evidence map›Paper›PMID 37034610›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Convergence of HIV and non-communicable disease epidemics: Geospatial mapping of the unmet health needs in a HIV Hyperendemic South African community.

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

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 3 countries.

Diego F CuadrosDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.
Chayanika DeviDigital Epidemiology Laboratory, Digital Futures, University of Cincinnati, Cincinnati, OH, USA.
Urisha SinghAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Stephen OlivierAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Alison CastleAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Yumna MoosaHarvard Medical School, Boston, MA, USA.
Johnathan A EdwardsInternational Institute for Rural Health, University of Lincoln, Lincolnshire, UK.
Hae-Young KimDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Mark J SiednerAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Emily B WongAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Frank TanserCentre for Epidemic Response and Innovation (CERI), School of Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, South Africa.
Harvard University · USAfrica Health Research Institute · ZAUniversity of Cincinnati · USEmory University · USNew York University · USStellenbosch University · ZAUniversity of Alabama at Birmingham · US

Funding

PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
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
NHLBI NIH HHS K24 HL166024NIAID NIH HHS T32 AI007433
6 · The paper itself

Abstract

Background: As 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 characterize the spatial structure of convergence of chronic health conditions in a HIV hyperendemic community in KwaZulu-Natal, South Africa. Methods: We utilized 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 categorize participants as: diagnosed and well-controlled (Needs Score 1), diagnosed and sub-optimally 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. Findings: The analytical sample comprised of 18,041 individuals. We observed a similar spatial structure for HIV among those with a combined needs Score 2-3 (diagnosed but uncontrolled) and Score 4 (undiagnosed and uncontrolled), with most PLHIV with unmet needs clustered in the southern peri-urban area, which was relatively densely populated within 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. Interpretation: In a 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. The identification and prioritization 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. Funding: Research reported in this publication was supported by the Fogarty International Center (R21 TW011687; D43 TW010543), the National Institute of Mental Health, the National Institute of Allergy and Infectious Diseases (K24 HL166024; T32 AI007433) of the National Institutes of Health, and Heart Lung and Blood Institute (K24 HL166024, T32 AI007433). The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official views of the funders.

Indexed as

diabeteshealth needsHIVhypertensionMultimorbiditySouth Africaspatial epidemiology

Identifiers

PMID37034610
PMCPMC10081404
OpenAlexW4361195994

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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.