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Advancing data to care strategies for persons with HIV using an innovative reconciliation process

BACKGROUND: UN AIDS has set ambitious 95-95-95 HIV care continuum targets for global HIV elimination by 2030. The U.S. HIV Care Continuum in 2018 showed that 65% of persons with HIV(PWH) are virally suppressed and 58% retained in care. Incomplete care-engagement not only affects individual health bu...

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Autores principales: Villanueva, Merceditas, Miceli, Janet, Speers, Suzanne, Nichols, Lisa, Carroll, Constance, Jenkins, Heidi, Altice, Frederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071117/
https://www.ncbi.nlm.nih.gov/pubmed/35511958
http://dx.doi.org/10.1371/journal.pone.0267903
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author Villanueva, Merceditas
Miceli, Janet
Speers, Suzanne
Nichols, Lisa
Carroll, Constance
Jenkins, Heidi
Altice, Frederick
author_facet Villanueva, Merceditas
Miceli, Janet
Speers, Suzanne
Nichols, Lisa
Carroll, Constance
Jenkins, Heidi
Altice, Frederick
author_sort Villanueva, Merceditas
collection PubMed
description BACKGROUND: UN AIDS has set ambitious 95-95-95 HIV care continuum targets for global HIV elimination by 2030. The U.S. HIV Care Continuum in 2018 showed that 65% of persons with HIV(PWH) are virally suppressed and 58% retained in care. Incomplete care-engagement not only affects individual health but drives ongoing HIV transmission. Data to Care (D2C) is a strategy using public health surveillance data to identify and re-engage out-of-care (OOC) PWH. Optimization of this strategy is needed. SETTING: Statewide partnership with Connecticut Department of Public Health (CT DPH), 23 HIV clinics and Yale University School of Medicine (YSM). Our site was one of 3 participants in the CDC-sponsored RCT evaluating the efficacy of DPH-employed Disease Intervention Specialists (DIS) for re-engagement in care. METHODS: From 11/2016-7/2018, a data reconciliation process using public health surveillance and clinic visit data was used to identify patients eligible for randomization (defined as in-Care for 12 months and OOC for subsequent 6-months) to receive DIS intervention. Clinic staff further reviewed this list and designated those who would not be randomized based on established criteria. RESULTS: 2958 patients were eligible for randomization; 655 (22.1%) were randomized. Reasons for non-randomizing included: well patient [499 (16.9%)]; recent visit [946 (32.0%)]; upcoming visit [398 (13.5%)]. Compared to non-randomized patients, those who were randomized were likely to be younger (mean age 46.1 vs. 51.6, p < .001), Black (40% vs 35%)/Hispanic (37% vs 32.8%) [(p < .001)], have CD4<200 cells/ul (15.9% vs 8.5%, p < .001) and viral load >20 copies/ml (43.8% vs. 24.1%, 0<0.001). Extrapolating these estimates to a statewide HIV care continuum suggests that only 8.3% of prevalent PWH are truly OOC. CONCLUSIONS: A D2C process that integrated DPH surveillance and clinic data successfully refined the selection of newly OOC PWH eligible for DIS intervention. This approach more accurately reflects real world care engagement and can help prioritize DPH resources.
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spelling pubmed-90711172022-05-06 Advancing data to care strategies for persons with HIV using an innovative reconciliation process Villanueva, Merceditas Miceli, Janet Speers, Suzanne Nichols, Lisa Carroll, Constance Jenkins, Heidi Altice, Frederick PLoS One Research Article BACKGROUND: UN AIDS has set ambitious 95-95-95 HIV care continuum targets for global HIV elimination by 2030. The U.S. HIV Care Continuum in 2018 showed that 65% of persons with HIV(PWH) are virally suppressed and 58% retained in care. Incomplete care-engagement not only affects individual health but drives ongoing HIV transmission. Data to Care (D2C) is a strategy using public health surveillance data to identify and re-engage out-of-care (OOC) PWH. Optimization of this strategy is needed. SETTING: Statewide partnership with Connecticut Department of Public Health (CT DPH), 23 HIV clinics and Yale University School of Medicine (YSM). Our site was one of 3 participants in the CDC-sponsored RCT evaluating the efficacy of DPH-employed Disease Intervention Specialists (DIS) for re-engagement in care. METHODS: From 11/2016-7/2018, a data reconciliation process using public health surveillance and clinic visit data was used to identify patients eligible for randomization (defined as in-Care for 12 months and OOC for subsequent 6-months) to receive DIS intervention. Clinic staff further reviewed this list and designated those who would not be randomized based on established criteria. RESULTS: 2958 patients were eligible for randomization; 655 (22.1%) were randomized. Reasons for non-randomizing included: well patient [499 (16.9%)]; recent visit [946 (32.0%)]; upcoming visit [398 (13.5%)]. Compared to non-randomized patients, those who were randomized were likely to be younger (mean age 46.1 vs. 51.6, p < .001), Black (40% vs 35%)/Hispanic (37% vs 32.8%) [(p < .001)], have CD4<200 cells/ul (15.9% vs 8.5%, p < .001) and viral load >20 copies/ml (43.8% vs. 24.1%, 0<0.001). Extrapolating these estimates to a statewide HIV care continuum suggests that only 8.3% of prevalent PWH are truly OOC. CONCLUSIONS: A D2C process that integrated DPH surveillance and clinic data successfully refined the selection of newly OOC PWH eligible for DIS intervention. This approach more accurately reflects real world care engagement and can help prioritize DPH resources. Public Library of Science 2022-05-05 /pmc/articles/PMC9071117/ /pubmed/35511958 http://dx.doi.org/10.1371/journal.pone.0267903 Text en © 2022 Villanueva 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
Villanueva, Merceditas
Miceli, Janet
Speers, Suzanne
Nichols, Lisa
Carroll, Constance
Jenkins, Heidi
Altice, Frederick
Advancing data to care strategies for persons with HIV using an innovative reconciliation process
title Advancing data to care strategies for persons with HIV using an innovative reconciliation process
title_full Advancing data to care strategies for persons with HIV using an innovative reconciliation process
title_fullStr Advancing data to care strategies for persons with HIV using an innovative reconciliation process
title_full_unstemmed Advancing data to care strategies for persons with HIV using an innovative reconciliation process
title_short Advancing data to care strategies for persons with HIV using an innovative reconciliation process
title_sort advancing data to care strategies for persons with hiv using an innovative reconciliation process
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071117/
https://www.ncbi.nlm.nih.gov/pubmed/35511958
http://dx.doi.org/10.1371/journal.pone.0267903
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