Optimizing Screening for HIV.

HIV prevalence screening sexually transmitted infections

Journal

Open forum infectious diseases
ISSN: 2328-8957
Titre abrégé: Open Forum Infect Dis
Pays: United States
ID NLM: 101637045

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 03 12 2019
accepted: 14 01 2020
entrez: 15 2 2020
pubmed: 15 2 2020
medline: 15 2 2020
Statut: epublish

Résumé

The HIV epidemic is unevenly distributed throughout the United States, even within neighborhoods. This study evaluated how effectively current testing approaches reached persons at risk for HIV infection across San Diego (SD) County, California. HIV case and testing data, sexually transmitted infection (STI) data, and sociodemographic data for SD County were collected from the SD Health and Human Services Agency and the "Early Test" community-based HIV screening program between 1998 and 2016. Relationships between HIV diagnoses, HIV prevalence, and STI diagnoses with screening at the ZIP code level were evaluated. Overall, 379 074 HIV tests were performed. The numbers of HIV tests performed on persons residing in a ZIP code or region overall strongly correlated with prevalent HIV cases ( This study supported the ability of a small number of standalone testing centers to reach at-risk populations dispersed across SD County. These methods can also be used to highlight geographic areas or demographic segments that may benefit from more intensive screening.

Sections du résumé

BACKGROUND BACKGROUND
The HIV epidemic is unevenly distributed throughout the United States, even within neighborhoods. This study evaluated how effectively current testing approaches reached persons at risk for HIV infection across San Diego (SD) County, California.
METHODS METHODS
HIV case and testing data, sexually transmitted infection (STI) data, and sociodemographic data for SD County were collected from the SD Health and Human Services Agency and the "Early Test" community-based HIV screening program between 1998 and 2016. Relationships between HIV diagnoses, HIV prevalence, and STI diagnoses with screening at the ZIP code level were evaluated.
RESULTS RESULTS
Overall, 379 074 HIV tests were performed. The numbers of HIV tests performed on persons residing in a ZIP code or region overall strongly correlated with prevalent HIV cases (
CONCLUSIONS CONCLUSIONS
This study supported the ability of a small number of standalone testing centers to reach at-risk populations dispersed across SD County. These methods can also be used to highlight geographic areas or demographic segments that may benefit from more intensive screening.

Identifiants

pubmed: 32055638
doi: 10.1093/ofid/ofaa024
pii: ofaa024
pmc: PMC7009491
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ofaa024

Subventions

Organisme : NIAID NIH HHS
ID : R21 AI131971
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

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Auteurs

Antoine Chaillon (A)

Department of Medicine, University of California San Diego, San Diego, California, USA.

Martin Hoenigl (M)

Department of Medicine, University of California San Diego, San Diego, California, USA.

Lorri Freitas (L)

County of San Diego Health and Human Services Agency, Division of Public Health Services, San Diego, California, USA.

Haruna Feldman (H)

County of San Diego Health and Human Services Agency, Division of Public Health Services, San Diego, California, USA.

Winston Tilghman (W)

County of San Diego Health and Human Services Agency, Division of Public Health Services, San Diego, California, USA.

Lawrence Wang (L)

County of San Diego Health and Human Services Agency, Division of Public Health Services, San Diego, California, USA.

Davey Smith (D)

Department of Medicine, University of California San Diego, San Diego, California, USA.
Department of Medicine, San Diego Veterans Affairs Medical Center, San Diego, California, USA.

Susan Little (S)

Department of Medicine, University of California San Diego, San Diego, California, USA.

Sanjay R Mehta (SR)

Department of Medicine, University of California San Diego, San Diego, California, USA.
Department of Medicine, San Diego Veterans Affairs Medical Center, San Diego, California, USA.
Department of Pathology, University of California San Diego, San Diego, California, USA.

Classifications MeSH