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Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model

BACKGROUND: Implementation of linkage to HIV care programs in the U.S. is poorly described in the literature despite the central role of these programs in delivering clients from HIV testing facilities to clinical care sites. Models demonstrating success in linking clients to HIV care from testing l...

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Autores principales: Craw, Jason, Gardner, Lytt, Rossman, Amber, Gruber, DeAnn, Noreen, O'Donnell, Jordan, Diana, Rapp, Richard, Simpson, Cathy, Phillips, Karen
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933679/
https://www.ncbi.nlm.nih.gov/pubmed/20727189
http://dx.doi.org/10.1186/1472-6963-10-246
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author Craw, Jason
Gardner, Lytt
Rossman, Amber
Gruber, DeAnn
Noreen, O'Donnell
Jordan, Diana
Rapp, Richard
Simpson, Cathy
Phillips, Karen
author_facet Craw, Jason
Gardner, Lytt
Rossman, Amber
Gruber, DeAnn
Noreen, O'Donnell
Jordan, Diana
Rapp, Richard
Simpson, Cathy
Phillips, Karen
author_sort Craw, Jason
collection PubMed
description BACKGROUND: Implementation of linkage to HIV care programs in the U.S. is poorly described in the literature despite the central role of these programs in delivering clients from HIV testing facilities to clinical care sites. Models demonstrating success in linking clients to HIV care from testing locations that do not have co-located medical care are especially needed. METHODS: Data from the Antiretroviral Treatment Access Studies-II project ('ARTAS-II') as well as site visit and project director reports were used to describe structural factors and best practices found in successful linkage to care programs. Successful programs were able to identify recently diagnosed HIV-positive persons and ensure that a high percentage of persons attended an initial HIV primary care provider visit within six months of enrolling in the linkage program. RESULTS: Eight categories of best practices are described, supplemented by examples from 5 of 10 ARTAS-II sites. These five sites highlighted in the best practices enrolled a total of 352 HIV+ clients and averaged 85% linked to care after six months. The other five grantees enrolled 274 clients and averaged 72% linked to care after six months. Sites with co-located HIV primary medical care services had higher linkage to care rates than non-co-located sites (87% vs. 73%). Five grantees continued linkage to care activities in some capacity after project funding ended. CONCLUSIONS: With the push to expand HIV testing in all U.S. communities, implementation and evaluation of linkage to care programs is needed to maximize the benefits of expanded HIV testing efforts
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spelling pubmed-29336792010-09-07 Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model Craw, Jason Gardner, Lytt Rossman, Amber Gruber, DeAnn Noreen, O'Donnell Jordan, Diana Rapp, Richard Simpson, Cathy Phillips, Karen BMC Health Serv Res Research Article BACKGROUND: Implementation of linkage to HIV care programs in the U.S. is poorly described in the literature despite the central role of these programs in delivering clients from HIV testing facilities to clinical care sites. Models demonstrating success in linking clients to HIV care from testing locations that do not have co-located medical care are especially needed. METHODS: Data from the Antiretroviral Treatment Access Studies-II project ('ARTAS-II') as well as site visit and project director reports were used to describe structural factors and best practices found in successful linkage to care programs. Successful programs were able to identify recently diagnosed HIV-positive persons and ensure that a high percentage of persons attended an initial HIV primary care provider visit within six months of enrolling in the linkage program. RESULTS: Eight categories of best practices are described, supplemented by examples from 5 of 10 ARTAS-II sites. These five sites highlighted in the best practices enrolled a total of 352 HIV+ clients and averaged 85% linked to care after six months. The other five grantees enrolled 274 clients and averaged 72% linked to care after six months. Sites with co-located HIV primary medical care services had higher linkage to care rates than non-co-located sites (87% vs. 73%). Five grantees continued linkage to care activities in some capacity after project funding ended. CONCLUSIONS: With the push to expand HIV testing in all U.S. communities, implementation and evaluation of linkage to care programs is needed to maximize the benefits of expanded HIV testing efforts BioMed Central 2010-08-20 /pmc/articles/PMC2933679/ /pubmed/20727189 http://dx.doi.org/10.1186/1472-6963-10-246 Text en Copyright ©2010 Craw et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Craw, Jason
Gardner, Lytt
Rossman, Amber
Gruber, DeAnn
Noreen, O'Donnell
Jordan, Diana
Rapp, Richard
Simpson, Cathy
Phillips, Karen
Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model
title Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model
title_full Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model
title_fullStr Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model
title_full_unstemmed Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model
title_short Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model
title_sort structural factors and best practices in implementing a linkage to hiv care program using the artas model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2933679/
https://www.ncbi.nlm.nih.gov/pubmed/20727189
http://dx.doi.org/10.1186/1472-6963-10-246
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