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Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus

Previous studies suggested that human immunodeficiency virus (HIV) infected patients at risk of poor adherence were not distinguishable only based on the baseline characteristics. This study is to identify patient characteristics that would be consistently associated with poor adherence across regim...

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Autores principales: Cheng, Yan, Nickman, Nancy A., Jamjian, Christine, Stevens, Vanessa, Zhang, Yue, Sauer, Brian, LaFleur, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943852/
https://www.ncbi.nlm.nih.gov/pubmed/29480838
http://dx.doi.org/10.1097/MD.0000000000009495
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author Cheng, Yan
Nickman, Nancy A.
Jamjian, Christine
Stevens, Vanessa
Zhang, Yue
Sauer, Brian
LaFleur, Joanne
author_facet Cheng, Yan
Nickman, Nancy A.
Jamjian, Christine
Stevens, Vanessa
Zhang, Yue
Sauer, Brian
LaFleur, Joanne
author_sort Cheng, Yan
collection PubMed
description Previous studies suggested that human immunodeficiency virus (HIV) infected patients at risk of poor adherence were not distinguishable only based on the baseline characteristics. This study is to identify patient characteristics that would be consistently associated with poor adherence across regimens and to understand the associations between initial and long-term adherence. HIV treatment-naïve patients initiated on protease inhibitors, nonnucleoside reverse transcriptase inhibitors, or integrase strand transfer inhibitors were identified from the Veteran Health Administration system. Initial adherence measured as initial coverage ratio (ICR) and long-term adherence measured as thereafter 1-year proportion days covered (PDC) of base agent and complete regimen were estimated for each patient. The patients most likely to exhibit poor adherence were African-American, with lower socioeconomic status, and healthier. The initial coverage ratio of base agent and complete regimen were highly correlated, but the correlations between ICR and thereafter 1-year PDC were low. However, including initial adherence as a predictor in predictive model would substantially increase predictive accuracy of future adherence.
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spelling pubmed-59438522018-05-15 Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus Cheng, Yan Nickman, Nancy A. Jamjian, Christine Stevens, Vanessa Zhang, Yue Sauer, Brian LaFleur, Joanne Medicine (Baltimore) Research Article Previous studies suggested that human immunodeficiency virus (HIV) infected patients at risk of poor adherence were not distinguishable only based on the baseline characteristics. This study is to identify patient characteristics that would be consistently associated with poor adherence across regimens and to understand the associations between initial and long-term adherence. HIV treatment-naïve patients initiated on protease inhibitors, nonnucleoside reverse transcriptase inhibitors, or integrase strand transfer inhibitors were identified from the Veteran Health Administration system. Initial adherence measured as initial coverage ratio (ICR) and long-term adherence measured as thereafter 1-year proportion days covered (PDC) of base agent and complete regimen were estimated for each patient. The patients most likely to exhibit poor adherence were African-American, with lower socioeconomic status, and healthier. The initial coverage ratio of base agent and complete regimen were highly correlated, but the correlations between ICR and thereafter 1-year PDC were low. However, including initial adherence as a predictor in predictive model would substantially increase predictive accuracy of future adherence. Wolters Kluwer Health 2018-01-12 /pmc/articles/PMC5943852/ /pubmed/29480838 http://dx.doi.org/10.1097/MD.0000000000009495 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NoDerivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle Research Article
Cheng, Yan
Nickman, Nancy A.
Jamjian, Christine
Stevens, Vanessa
Zhang, Yue
Sauer, Brian
LaFleur, Joanne
Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus
title Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus
title_full Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus
title_fullStr Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus
title_full_unstemmed Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus
title_short Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus
title_sort predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943852/
https://www.ncbi.nlm.nih.gov/pubmed/29480838
http://dx.doi.org/10.1097/MD.0000000000009495
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