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Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV

BACKGROUND: Adherence to antiretrovirals (ARVs) is critical to achieving durable virologic suppression. OBJECTIVE: To investigate risk factors of poor adherence and the effect of suboptimal adherence on health care resource utilization (HCRU) and costs in Medicaid patients. METHODS: A retrospective...

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Autores principales: Dunn, Keith, Lafeuille, Marie-Hélène, Jiao, Xiaolong, Romdhani, Hela, Emond, Bruno, Woodruff, Kimberly, Pesa, Jacqueline, Tandon, Neeta, Lefebvre, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academy of Managed Care Pharmacy 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397656/
https://www.ncbi.nlm.nih.gov/pubmed/29877140
http://dx.doi.org/10.18553/jmcp.2018.17507
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author Dunn, Keith
Lafeuille, Marie-Hélène
Jiao, Xiaolong
Romdhani, Hela
Emond, Bruno
Woodruff, Kimberly
Pesa, Jacqueline
Tandon, Neeta
Lefebvre, Patrick
author_facet Dunn, Keith
Lafeuille, Marie-Hélène
Jiao, Xiaolong
Romdhani, Hela
Emond, Bruno
Woodruff, Kimberly
Pesa, Jacqueline
Tandon, Neeta
Lefebvre, Patrick
author_sort Dunn, Keith
collection PubMed
description BACKGROUND: Adherence to antiretrovirals (ARVs) is critical to achieving durable virologic suppression. OBJECTIVE: To investigate risk factors of poor adherence and the effect of suboptimal adherence on health care resource utilization (HCRU) and costs in Medicaid patients. METHODS: A retrospective longitudinal study was conducted using Medicaid data. Adults (aged ≥ 18 years) with human immunodeficiency virus (HIV)-1 initiating selected ARVs (index date) were identified. Adherence was measured using medication possession ratio (MPR) and proportion of days covered (PDC) at 6 and 12 months post-index. Risk factors of poor adherence (PDC < 80%) were assessed using a logistic regression. HCRU and costs were compared between suboptimal (80% ≤ PDC < 95%) and optimal (PDC ≥ 95%) adherence groups using Poisson and ordinary least square models, respectively. RESULTS: In total, 3,477 patients were identified. Using MPR, 1,282 (39.0%) of the evaluable patients had poor adherence; 667 (20.2%) had suboptimal adherence; and 1,342 (40.8%) had optimal adherence versus 1,342 (51.1%), 509 (19.0%), and 804 (30.0%), respectively, using PDC at 6 months. PDC at 12 months was even lower. Younger age (OR = 1.58; 95% CI = 1.18-2.11; P = 0.002), noncapitated coverage (OR = 1.40; 95% CI = 1.16-1.69; P < 0.001), dual Medicaid/Medicare coverage (OR = 5.98; 95% CI = 4.39-8.16; P < 0.001), no baseline ARV treatment (OR = 1.98; 95% CI = 1.62-2.41; P < 0.001), and baseline asymptomatic HIV (OR = 1.37; 95% CI = 1.13-1.68; P = 0.002) were associated with higher risk of poor adherence. Suboptimal adherence patients had higher total number of days spent in a hospital (incidence rate ratio [IRR] = 1.62; 95% CI = 1.13-2.19; P = 0.008), total number of long-term care admissions (IRR = 3.11; 95% CI = 1.26-7.39; P = 0.008), total medical costs (mean monthly cost difference = $339; 95% CI = $153-$536; P < 0.001), and inpatient costs (mean monthly cost difference = $259; 95% CI = $122-$418; P < 0.001) compared with patients with optimal adherence. CONCLUSIONS: Nonadherence to ARVs was observed in 60%-80% of Medicaid patients, depending on the adherence measure used, and was associated with incremental HCRU and costs. Age, insurance type and coverage, previous ARV treatment, and HIV symptoms were predictors of adherence. Treatment options that enhance adherence and prevent developing virologic failure with drug resistance should be considered for HIV patients.
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spelling pubmed-103976562023-08-04 Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV Dunn, Keith Lafeuille, Marie-Hélène Jiao, Xiaolong Romdhani, Hela Emond, Bruno Woodruff, Kimberly Pesa, Jacqueline Tandon, Neeta Lefebvre, Patrick J Manag Care Spec Pharm Research BACKGROUND: Adherence to antiretrovirals (ARVs) is critical to achieving durable virologic suppression. OBJECTIVE: To investigate risk factors of poor adherence and the effect of suboptimal adherence on health care resource utilization (HCRU) and costs in Medicaid patients. METHODS: A retrospective longitudinal study was conducted using Medicaid data. Adults (aged ≥ 18 years) with human immunodeficiency virus (HIV)-1 initiating selected ARVs (index date) were identified. Adherence was measured using medication possession ratio (MPR) and proportion of days covered (PDC) at 6 and 12 months post-index. Risk factors of poor adherence (PDC < 80%) were assessed using a logistic regression. HCRU and costs were compared between suboptimal (80% ≤ PDC < 95%) and optimal (PDC ≥ 95%) adherence groups using Poisson and ordinary least square models, respectively. RESULTS: In total, 3,477 patients were identified. Using MPR, 1,282 (39.0%) of the evaluable patients had poor adherence; 667 (20.2%) had suboptimal adherence; and 1,342 (40.8%) had optimal adherence versus 1,342 (51.1%), 509 (19.0%), and 804 (30.0%), respectively, using PDC at 6 months. PDC at 12 months was even lower. Younger age (OR = 1.58; 95% CI = 1.18-2.11; P = 0.002), noncapitated coverage (OR = 1.40; 95% CI = 1.16-1.69; P < 0.001), dual Medicaid/Medicare coverage (OR = 5.98; 95% CI = 4.39-8.16; P < 0.001), no baseline ARV treatment (OR = 1.98; 95% CI = 1.62-2.41; P < 0.001), and baseline asymptomatic HIV (OR = 1.37; 95% CI = 1.13-1.68; P = 0.002) were associated with higher risk of poor adherence. Suboptimal adherence patients had higher total number of days spent in a hospital (incidence rate ratio [IRR] = 1.62; 95% CI = 1.13-2.19; P = 0.008), total number of long-term care admissions (IRR = 3.11; 95% CI = 1.26-7.39; P = 0.008), total medical costs (mean monthly cost difference = $339; 95% CI = $153-$536; P < 0.001), and inpatient costs (mean monthly cost difference = $259; 95% CI = $122-$418; P < 0.001) compared with patients with optimal adherence. CONCLUSIONS: Nonadherence to ARVs was observed in 60%-80% of Medicaid patients, depending on the adherence measure used, and was associated with incremental HCRU and costs. Age, insurance type and coverage, previous ARV treatment, and HIV symptoms were predictors of adherence. Treatment options that enhance adherence and prevent developing virologic failure with drug resistance should be considered for HIV patients. Academy of Managed Care Pharmacy 2018-10 /pmc/articles/PMC10397656/ /pubmed/29877140 http://dx.doi.org/10.18553/jmcp.2018.17507 Text en Copyright © 2018, Academy of Managed Care Pharmacy. All rights reserved. https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research
Dunn, Keith
Lafeuille, Marie-Hélène
Jiao, Xiaolong
Romdhani, Hela
Emond, Bruno
Woodruff, Kimberly
Pesa, Jacqueline
Tandon, Neeta
Lefebvre, Patrick
Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV
title Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV
title_full Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV
title_fullStr Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV
title_full_unstemmed Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV
title_short Risk Factors, Health Care Resource Utilization, and Costs Associated with Nonadherence to Antiretrovirals in Medicaid-Insured Patients with HIV
title_sort risk factors, health care resource utilization, and costs associated with nonadherence to antiretrovirals in medicaid-insured patients with hiv
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397656/
https://www.ncbi.nlm.nih.gov/pubmed/29877140
http://dx.doi.org/10.18553/jmcp.2018.17507
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