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Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis

BACKGROUND: The traditional definition of engagement in HIV care in terms of only clinic attendance and viral suppression provides a limited understanding of how persons living with HIV (PLWH) interact with the health care system. METHODS: We conducted a retrospective analysis of patients with ≥1 HI...

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Autores principales: Okeke, Nwora Lance, Clement, Meredith E, McKellar, Mehri S, Stout, Jason E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961009/
https://www.ncbi.nlm.nih.gov/pubmed/29876365
http://dx.doi.org/10.1093/ofid/ofy088
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author Okeke, Nwora Lance
Clement, Meredith E
McKellar, Mehri S
Stout, Jason E
author_facet Okeke, Nwora Lance
Clement, Meredith E
McKellar, Mehri S
Stout, Jason E
author_sort Okeke, Nwora Lance
collection PubMed
description BACKGROUND: The traditional definition of engagement in HIV care in terms of only clinic attendance and viral suppression provides a limited understanding of how persons living with HIV (PLWH) interact with the health care system. METHODS: We conducted a retrospective analysis of patients with ≥1 HIV clinic visits at the Duke Adult Infectious Diseases Clinic between 2008 and 2013. Health care utilization was characterized by 4 indicators: clinic attendance in each half of the year (yes/no), number of emergency department (ED) visits/year (0, 1, or 2+), inpatient admissions/year (0, 1, 2+), and viral suppression (never, intermittent, always). Health care engagement patterns were modeled using latent class/latent transition analysis. RESULTS. : A total of 2288 patients (median age, 46.4 years; 59% black, 71% male) were included in the analysis. Three care engagement classes were derived from the latent class model: “adherent” “nonadherent,” and “sick.” Patients age ≤40 years were more likely to be in the nonadherent class (odds ratio, 2.64; 95% confidence interval, 1.38–5.04) than other cohort members. Whites and males were more likely to transition from nonadherent to adherent the following year. Nonadherent patients were significantly more likely to disengage from care the subsequent year than adherent patients (23.6 vs 0.2%, P < .001). CONCLUSIONS: A broader definition of health care engagement revealed distinct and dynamic patterns among PLWH that would have been hidden had only previous HIV clinic attendance had been considered. These patterns may be useful for designing engagement-targeted interventions.
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spelling pubmed-59610092018-06-06 Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis Okeke, Nwora Lance Clement, Meredith E McKellar, Mehri S Stout, Jason E Open Forum Infect Dis Major Article BACKGROUND: The traditional definition of engagement in HIV care in terms of only clinic attendance and viral suppression provides a limited understanding of how persons living with HIV (PLWH) interact with the health care system. METHODS: We conducted a retrospective analysis of patients with ≥1 HIV clinic visits at the Duke Adult Infectious Diseases Clinic between 2008 and 2013. Health care utilization was characterized by 4 indicators: clinic attendance in each half of the year (yes/no), number of emergency department (ED) visits/year (0, 1, or 2+), inpatient admissions/year (0, 1, 2+), and viral suppression (never, intermittent, always). Health care engagement patterns were modeled using latent class/latent transition analysis. RESULTS. : A total of 2288 patients (median age, 46.4 years; 59% black, 71% male) were included in the analysis. Three care engagement classes were derived from the latent class model: “adherent” “nonadherent,” and “sick.” Patients age ≤40 years were more likely to be in the nonadherent class (odds ratio, 2.64; 95% confidence interval, 1.38–5.04) than other cohort members. Whites and males were more likely to transition from nonadherent to adherent the following year. Nonadherent patients were significantly more likely to disengage from care the subsequent year than adherent patients (23.6 vs 0.2%, P < .001). CONCLUSIONS: A broader definition of health care engagement revealed distinct and dynamic patterns among PLWH that would have been hidden had only previous HIV clinic attendance had been considered. These patterns may be useful for designing engagement-targeted interventions. Oxford University Press 2018-04-24 /pmc/articles/PMC5961009/ /pubmed/29876365 http://dx.doi.org/10.1093/ofid/ofy088 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Major Article
Okeke, Nwora Lance
Clement, Meredith E
McKellar, Mehri S
Stout, Jason E
Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis
title Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis
title_full Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis
title_fullStr Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis
title_full_unstemmed Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis
title_short Health Care Utilization Behaviors Predict Disengagement From HIV Care: A Latent Class Analysis
title_sort health care utilization behaviors predict disengagement from hiv care: a latent class analysis
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961009/
https://www.ncbi.nlm.nih.gov/pubmed/29876365
http://dx.doi.org/10.1093/ofid/ofy088
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