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County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018

BACKGROUND: Timely linkage to care (LTC) is key in the HIV care continuum, as it enables people newly diagnosed with HIV (PNWH) to benefit from HIV treatment at the earliest stage. Previous studies have found LTC disparities by individual factors, but data are limited beyond the individual level, es...

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Autores principales: Shi, Fanghui, Zhang, Jiajia, Zeng, Chengbo, Sun, Xiaowen, Li, Zhenlong, Yang, Xueying, Weissman, Sharon, Olatosi, Bankole, Li, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231826/
https://www.ncbi.nlm.nih.gov/pubmed/37256896
http://dx.doi.org/10.1371/journal.pone.0286497
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author Shi, Fanghui
Zhang, Jiajia
Zeng, Chengbo
Sun, Xiaowen
Li, Zhenlong
Yang, Xueying
Weissman, Sharon
Olatosi, Bankole
Li, Xiaoming
author_facet Shi, Fanghui
Zhang, Jiajia
Zeng, Chengbo
Sun, Xiaowen
Li, Zhenlong
Yang, Xueying
Weissman, Sharon
Olatosi, Bankole
Li, Xiaoming
author_sort Shi, Fanghui
collection PubMed
description BACKGROUND: Timely linkage to care (LTC) is key in the HIV care continuum, as it enables people newly diagnosed with HIV (PNWH) to benefit from HIV treatment at the earliest stage. Previous studies have found LTC disparities by individual factors, but data are limited beyond the individual level, especially at the county level. This study examined the temporal and geographic variations of county-level LTC status across 46 counties in South Carolina (SC) from 2010 to 2018 and the association of county-level characteristics with LTC status. METHODS: All adults newly diagnosed with HIV from 2010 to 2018 in SC were included in this study. County-level LTC status was defined as 1 = “high LTC (≥ yearly national LTC percentage)” and 0 = “low LTC (< yearly national LTC percentage)”. A generalized estimating equation model with stepwise selection was employed to examine the relationship between 29 county-level characteristics and LTC status. RESULTS: The number of counties with high LTC in SC decreased from 34 to 21 from 2010 to 2018. In the generalized estimating equation model, six out of 29 factors were significantly associated with LTC status. Counties with a higher percentage of males (OR = 0.07, 95%CI: 0.02~0.29) and persons with at least four years of college (OR = 0.07, 95%CI: 0.02~0.34) were less likely to have high LTC. However, counties with more mental health centers per PNWH (OR = 45.09, 95%CI: 6.81~298.55) were more likely to have high LTC. CONCLUSIONS: Factors associated with demographic characteristics and healthcare resources contributed to the variations of LTC status at the county level. Interventions targeting increasing the accessibility to mental health facilities could help improve LTC.
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spelling pubmed-102318262023-06-01 County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018 Shi, Fanghui Zhang, Jiajia Zeng, Chengbo Sun, Xiaowen Li, Zhenlong Yang, Xueying Weissman, Sharon Olatosi, Bankole Li, Xiaoming PLoS One Research Article BACKGROUND: Timely linkage to care (LTC) is key in the HIV care continuum, as it enables people newly diagnosed with HIV (PNWH) to benefit from HIV treatment at the earliest stage. Previous studies have found LTC disparities by individual factors, but data are limited beyond the individual level, especially at the county level. This study examined the temporal and geographic variations of county-level LTC status across 46 counties in South Carolina (SC) from 2010 to 2018 and the association of county-level characteristics with LTC status. METHODS: All adults newly diagnosed with HIV from 2010 to 2018 in SC were included in this study. County-level LTC status was defined as 1 = “high LTC (≥ yearly national LTC percentage)” and 0 = “low LTC (< yearly national LTC percentage)”. A generalized estimating equation model with stepwise selection was employed to examine the relationship between 29 county-level characteristics and LTC status. RESULTS: The number of counties with high LTC in SC decreased from 34 to 21 from 2010 to 2018. In the generalized estimating equation model, six out of 29 factors were significantly associated with LTC status. Counties with a higher percentage of males (OR = 0.07, 95%CI: 0.02~0.29) and persons with at least four years of college (OR = 0.07, 95%CI: 0.02~0.34) were less likely to have high LTC. However, counties with more mental health centers per PNWH (OR = 45.09, 95%CI: 6.81~298.55) were more likely to have high LTC. CONCLUSIONS: Factors associated with demographic characteristics and healthcare resources contributed to the variations of LTC status at the county level. Interventions targeting increasing the accessibility to mental health facilities could help improve LTC. Public Library of Science 2023-05-31 /pmc/articles/PMC10231826/ /pubmed/37256896 http://dx.doi.org/10.1371/journal.pone.0286497 Text en © 2023 Shi et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shi, Fanghui
Zhang, Jiajia
Zeng, Chengbo
Sun, Xiaowen
Li, Zhenlong
Yang, Xueying
Weissman, Sharon
Olatosi, Bankole
Li, Xiaoming
County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018
title County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018
title_full County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018
title_fullStr County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018
title_full_unstemmed County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018
title_short County-level variations in linkage to care among people newly diagnosed with HIV in South Carolina: A longitudinal analysis from 2010 to 2018
title_sort county-level variations in linkage to care among people newly diagnosed with hiv in south carolina: a longitudinal analysis from 2010 to 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10231826/
https://www.ncbi.nlm.nih.gov/pubmed/37256896
http://dx.doi.org/10.1371/journal.pone.0286497
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