Evidence map›Paper›PMID 26630673›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2016

Understanding Local Spatial Variation Along the Care Continuum: The Potential Impact of Transportation Vulnerability on HIV Linkage to Care and Viral Suppression in High-Poverty Areas, Atlanta, Georgia.

Neela D Goswami, Michelle M Schmitz, Travis Sanchez, Sharoda Dasgupta, Patrick Sullivan, Hannah Cooper, Deepali Rane, Jane Kelly, Carlos Del Rio, Lance A Waller

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Systematic Review of Neighborhood Factors Impacting HIV Care Continuum Participation in the United States.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Pooled it
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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

10 authors.

Neela D Goswami*Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA; †Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, GA; ‡Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA; §Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA; ‖Georgia Department of Public Health, Atlanta, GA; and ¶Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
Michelle M Schmitz
Travis Sanchez
Sharoda Dasgupta
Patrick Sullivan
Hannah Cooper
Deepali Rane
Jane Kelly
Carlos Del Rio
Lance A Waller

Funding

Virology and Molecular Biomarkers CoreP30AI050409 · NIAID · EMORY UNIVERSITY · PI Carlos del Rio · 2002 to 2026
$74.0M
A Geospatial Approach to Target HIV-Infected Populations Poorly Engaged in CareK23AI116388 · NIAID · EMORY UNIVERSITY · PI GOSWAMI, NEELA DASGUPTA · 2014 to 2016
$377k
NIAID NIH HHS 1K23AI116388NIAID NIH HHS 2P30 AI50409NIAID NIH HHS K23 AI116388NIAID NIH HHS P30 AI050409NIDA NIH HHS R01 DA03510103
6 · The paper itself

Abstract

backgroundEngagement in care is central to reducing mortality for HIV-infected persons and achieving the White House National AIDS Strategy of 80% viral suppression in the US by 2020. Where an HIV-infected person lives impacts his or her ability to achieve viral suppression. Reliable transportation access for healthcare may be a key determinant of this place-suppression relationship.

methodsZIP code tabulation areas (ZCTAs) were the units of analysis. We used geospatial and ecologic analyses to examine spatial distributions of neighborhood-level variables (eg, transportation accessibility) and associations with: (1) community linkage to care, and (2) community viral suppression. Among Atlanta ZCTAs with data for newly diagnosed HIV cases (2006-2010), we used Moran I to evaluate spatial clustering and linear regression models to evaluate associations between neighborhood variables and outcomes.

resultsIn 100 ZCTAs with 8413 newly diagnosed HIV-positive residents, a median of 60 HIV cases were diagnosed per ZCTA during the 5-year period. We found significant clustering of ZCTAs with low linkage to care and viral suppression (Moran I = 0.218, P < 0.05). In high-poverty ZCTAs, a 10% point increase in ZCTA-level household vehicle ownership was associated with a 4% point increase in linkage to care (P = 0.02, R = 0.16). In low-poverty ZCTAs, a 10% point increase in ZCTA-level household vehicle ownership was associated with a 30% point increase in ZCTA-level viral suppression (P = 0.01, R = 0.08).

conclusionsCorrelations between transportation variables and community-level care linkage and viral suppression vary by area poverty level and provide opportunities for interventions beyond individual-level factors.

Indexed as

Health Services AccessibilityPoverty AreasResidence CharacteristicsTransportationDemographyGeographyGeorgiaHIV InfectionsHumansViral Load

Identifiers

PMID26630673
PMCPMC4837075

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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.