Evidence map›Paper›PMID 38032459›Full record

ArticleJournal of community health2024

A Geospatial Analysis of Social and Structural Determinants of Health and High HIV Prevalence in Alabama, USA.

K A Johnson, J T McDaniel, H K Graham, E T Robertson, S McIntosh, J P Wallace, David L Albright

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Article in Journal of community health, 2024. 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
0.2field-weighted citation impact, top 39% of its field
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

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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

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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

7 authors at 2 institutions in 1 country.

K A JohnsonSchool of Social Work, The University of Alabama, Tuscaloosa, AL, USA.
J T McDanielPublic Health, Southern Illinois University, Carbondale, IL, USA.
H K GrahamEducational Studies in Psychology, The University of Alabama, Tuscaloosa, AL, USA.
E T RobertsonDepartment of Political Science, The University of Alabama, Box 870306, Tuscaloosa, AL, 35487-0314, USA.
S McIntoshDepartment of Political Science, The University of Alabama, Box 870306, Tuscaloosa, AL, 35487-0314, USA.
J P WallacePublic Health, Southern Illinois University, Carbondale, IL, USA.
David L AlbrightDepartment of Political Science, The University of Alabama, Box 870306, Tuscaloosa, AL, 35487-0314, USA. dlalbright@ua.edu.ORCID 0000-0002-5901-9393
University of Alabama · USSouthern Illinois University Carbondale · US

Funding

Centers for Medicare and Medicaid Services 2C2CMS331737
6 · The paper itself

Abstract

objectiveThis study utilizes geospatial analytic techniques to examine HIV hotspots in Alabama leveraging Medicaid utilization data.

methodsThis cross-sectional study leveraged Medicaid utilization data from Alabama's 67 counties, averaging 9,861 Medicaid recipients aged > 18 years old per county. We used Alabama Medicaid administrative claims data from January 1, 2016, to December 31, 2020, to identify individuals with HIV. Using Microsoft SQL Server, we obtained the average annual count of HIV Medicaid claims in each of the 67 Alabama counties (numerator) and the number of adult Medicaid recipients in each county (denominator), and standardized with a multiplier of 100,000. We also examined several other area-level summary variables (e.g., non-high school completion, income greater than four times the federal poverty level, social associations, urbanicity/rurality) as social and structural determinants of health. County-boundary choropleth maps were created representing the geographic distribution of HIV rates per 100,000 adult Medicaid recipients in Alabama. Leveraging ESRI ArcGIS and local indicators of spatial association (LISA), results were examined using local Moran's I to identify geographic hotspots.

resultsEleven counties had HIV rates higher than 100 per 100,000. Three were hotspots. Being an HIV hotspot was significantly associated with relatively low educational attainment and less severe poverty than other areas in the state.

conclusionsFindings suggesting that the HIV clusters in Alabama were categorized by significantly less severe poverty and lower educational attainment can aid ongoing efforts to strategically target resources and end the HIV epidemic in U.S.' Deep South.

Indexed as

HIV InfectionsSocial Determinants of HealthAdolescentAdultAlabamaCross-Sectional StudiesHumansMedicaidPrevalenceUnited StatesGeospatial AnalysisHIV HotspotsMedicaidSocial and Structural Determinants of Health

Identifiers

PMID38032459
OpenAlexW4389178774

What OpenQuestion holds

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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.