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Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis
BACKGROUND: Patients report varied barriers to HIV care across multiple domains, but specific barrier patterns may be driven by underlying, but unobserved, behavioral profiles. METHODS: We traced a probability sample of patients lost to follow-up (>90 days late) as of July 31, 2015 from 64 clinic...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JAIDS Journal of Acquired Immune Deficiency Syndromes
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7722465/ https://www.ncbi.nlm.nih.gov/pubmed/33105396 http://dx.doi.org/10.1097/QAI.0000000000002530 |
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author | Mody, Aaloke Sikombe, Kombatende Beres, Laura K. Simbeza, Sandra Mukamba, Njekwa Eshun-Wilson, Ingrid Schwartz, Sheree Pry, Jake Padian, Nancy Holmes, Charles B. Bolton-Moore, Carolyn Sikazwe, Izukanji Geng, Elvin H. |
author_facet | Mody, Aaloke Sikombe, Kombatende Beres, Laura K. Simbeza, Sandra Mukamba, Njekwa Eshun-Wilson, Ingrid Schwartz, Sheree Pry, Jake Padian, Nancy Holmes, Charles B. Bolton-Moore, Carolyn Sikazwe, Izukanji Geng, Elvin H. |
author_sort | Mody, Aaloke |
collection | PubMed |
description | BACKGROUND: Patients report varied barriers to HIV care across multiple domains, but specific barrier patterns may be driven by underlying, but unobserved, behavioral profiles. METHODS: We traced a probability sample of patients lost to follow-up (>90 days late) as of July 31, 2015 from 64 clinics in Zambia. Among those found alive, we ascertained patient-reported reasons for care disruptions. We performed latent class analysis to identify patient subgroups with similar patterns of reasons reported and assessed the association between class membership and care status (ie, disengaged versus silently transferred to a new site). RESULTS: Among 547 patients, we identified 5 profiles of care disruptions: (1) “Livelihood and Mobility” (30.6% of the population) reported work/school obligations and mobility/travel as reasons for care disruptions; (2) “Clinic Accessibility” (28.9%) reported challenges with attending clinic; (3) “Mobility and Family” (21.9%) reported family obligations, mobility/travel, and transport-related reasons; (4) “Doubting Need for HIV care” (10.2%) reported uncertainty around HIV status or need for clinical care, and (5) “Multidimensional Barriers to Care” (8.3%) reported numerous (mean 5.6) reasons across multiple domains. Patient profiles were significantly associated with care status. The “Doubting Need for HIV Care” class were mostly disengaged (97.9%), followed by the “Multidimensional Barriers to Care” (62.8%), “Clinic Accessibility” (62.4%), “Livelihood and Mobility” (43.6%), and “Mobility and Family” (23.5%) classes. CONCLUSION: There are distinct HIV care disruption profiles that are strongly associated with patients' current engagement status. Interventions targeting these unique profiles may enable more effective and tailored strategies for improving HIV treatment outcomes. |
format | Online Article Text |
id | pubmed-7722465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JAIDS Journal of Acquired Immune Deficiency Syndromes |
record_format | MEDLINE/PubMed |
spelling | pubmed-77224652020-12-31 Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis Mody, Aaloke Sikombe, Kombatende Beres, Laura K. Simbeza, Sandra Mukamba, Njekwa Eshun-Wilson, Ingrid Schwartz, Sheree Pry, Jake Padian, Nancy Holmes, Charles B. Bolton-Moore, Carolyn Sikazwe, Izukanji Geng, Elvin H. J Acquir Immune Defic Syndr Implementation Science BACKGROUND: Patients report varied barriers to HIV care across multiple domains, but specific barrier patterns may be driven by underlying, but unobserved, behavioral profiles. METHODS: We traced a probability sample of patients lost to follow-up (>90 days late) as of July 31, 2015 from 64 clinics in Zambia. Among those found alive, we ascertained patient-reported reasons for care disruptions. We performed latent class analysis to identify patient subgroups with similar patterns of reasons reported and assessed the association between class membership and care status (ie, disengaged versus silently transferred to a new site). RESULTS: Among 547 patients, we identified 5 profiles of care disruptions: (1) “Livelihood and Mobility” (30.6% of the population) reported work/school obligations and mobility/travel as reasons for care disruptions; (2) “Clinic Accessibility” (28.9%) reported challenges with attending clinic; (3) “Mobility and Family” (21.9%) reported family obligations, mobility/travel, and transport-related reasons; (4) “Doubting Need for HIV care” (10.2%) reported uncertainty around HIV status or need for clinical care, and (5) “Multidimensional Barriers to Care” (8.3%) reported numerous (mean 5.6) reasons across multiple domains. Patient profiles were significantly associated with care status. The “Doubting Need for HIV Care” class were mostly disengaged (97.9%), followed by the “Multidimensional Barriers to Care” (62.8%), “Clinic Accessibility” (62.4%), “Livelihood and Mobility” (43.6%), and “Mobility and Family” (23.5%) classes. CONCLUSION: There are distinct HIV care disruption profiles that are strongly associated with patients' current engagement status. Interventions targeting these unique profiles may enable more effective and tailored strategies for improving HIV treatment outcomes. JAIDS Journal of Acquired Immune Deficiency Syndromes 2021-01-01 2021-10-16 /pmc/articles/PMC7722465/ /pubmed/33105396 http://dx.doi.org/10.1097/QAI.0000000000002530 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Implementation Science Mody, Aaloke Sikombe, Kombatende Beres, Laura K. Simbeza, Sandra Mukamba, Njekwa Eshun-Wilson, Ingrid Schwartz, Sheree Pry, Jake Padian, Nancy Holmes, Charles B. Bolton-Moore, Carolyn Sikazwe, Izukanji Geng, Elvin H. Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis |
title | Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis |
title_full | Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis |
title_fullStr | Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis |
title_full_unstemmed | Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis |
title_short | Profiles of HIV Care Disruptions Among Adult Patients Lost to Follow-up in Zambia: A Latent Class Analysis |
title_sort | profiles of hiv care disruptions among adult patients lost to follow-up in zambia: a latent class analysis |
topic | Implementation Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7722465/ https://www.ncbi.nlm.nih.gov/pubmed/33105396 http://dx.doi.org/10.1097/QAI.0000000000002530 |
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