Evidence map›Paper›PMID 37168217›Full record

ArticleCureus2023

Exploring the Relationship Between Community-Level Economic Deprivation and HIV Infection Among Hospital Admissions in Washington, DC.

Oluwasegun A Akinyemi, Ofure V Omokhodion, Mojisola E Fasokun, Oluwafemi E Makanjuola, Sabrina Aaron, Kindha Elleissy Nasef, Martins Chidi, Bukola O Agboola, Tom Ogungbemi, Temitayo Ogundipe and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Oluwasegun A AkinyemiHealth Policy and Management, University of Maryland School of Public Health, College Park, USA.
Ofure V OmokhodionObstetrics and Gynecology, University College Hospital, Ibadan, NGA.
Mojisola E FasokunEpidemiology and Public Health, University of Alabama at Birmingham, Birmingham, USA.
Oluwafemi E MakanjuolaMedicine and Surgery, University of Ilorin, Ilorin, NGA.
Sabrina AaronObstetrics and Gynecology, Howard University College of Medicine, Washington, DC, USA.
Kindha Elleissy NasefObstetrics and Gynecology, Howard University College of Medicine, Washington, DC, USA.
Martins ChidiHospital Medicine, Howard University College of Medicine, Washington, DC, USA.
Bukola O AgboolaInstitute of Applied Environmental Health, University of Maryland School of Public Health, College Park, USA.
Tom OgungbemiEpidemiology, DC Department of Public Health, Washington, DC, USA.
Temitayo OgundipeCommunity and Family Medicine, Howard University Hospital, Washington, DC, USA.
Otolorin AbiodunFamily and Community Medicine, Howard University College of Medicine, Washington, DC, USA.
Department of Health Services · USHoward University Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Human immunodeficiency virus (HIV) infection is a significant health concern in the United States, affecting 38 million Americans. Despite a recent decline in prevalence, social determinants of health remain an important factor driving infections, particularly among minority populations. However, the relationship between community-level economic deprivation indices and HIV infection among hospital admissions has been understudied in the literature. Objectives This study investigated the association between community-level economic deprivation, measured by the Distressed Community Index (DCI), and HIV infection among hospital admissions in Washington, District of Columbia (DC). Methods We utilized data from the State Inpatient Database (SID) for Washington, DC, between 2016 and 2019, identifying all admissions with a history of HIV. The multivariate analysis determined the association between DCI quintiles and HIV infection among hospital admissions. Also included in the multivariate analysis were patients' age, sex, race/ethnicity, insurance type, smoking status, obesity, sexually transmitted infections (STIs), hepatitis B infections, and mental health conditions. Results Of the 213,682 admissions captured in the DCI quintiles, 67.4% were Black, 17.2% were White, and 10.7% were Hispanic. The prevalence of HIV infection in the study population was 4.4%. There was a statistically significant association between the DCI quintiles and HIV infection among hospital admissions. The residents of the richest neighborhoods defined as prosperous quintile (also the reference group) had the lowest odds of HIV infections compared to the other quintiles (comfortable, odds ratio {OR}=1.94 and 95% confidence interval {CI}=1.38-2.74; mid-tier, OR=1.49 and 95% CI=1.04-2.14; at risk, OR=1.75 and 95% CI=1.22-2.49; and distressed, OR=1.97 and 95% CI=1.38-2.82). Other significant predictors of HIV infection were Black race (OR=1.82; 95% CI=1.41-2.33), age between 45 and 65 years (OR=1.55; 95% CI=1.32-1.80), male sex (OR=1.58; 95% CI=1.40-1.77), and depression (OR=1.21; 95% CI=1.03-1.43). Conclusion This study reveals a significant association between increased levels of economic distress and the prevalence of HIV among hospital admissions in Washington, DC. Our findings emphasize the importance of taking social determinants of health into account when addressing HIV prevention and management. Implementing targeted interventions and resources in economically distressed communities may be crucial for reducing HIV prevalence and improving health outcomes for affected populations.

Indexed as

associationdistressed community indexepidemiologyhiv incidenceneighborhood socioeconomic distress

Identifiers

PMID37168217
PMCPMC10166384
OpenAlexW4362698417

What OpenQuestion holds

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LicenceCC BY
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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.