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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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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. |
format | Online Article Text |
id | pubmed-5943852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
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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