Barriers to Medication Adherence in People Living With Epilepsy.

IF 2.3 Q3 CLINICAL NEUROLOGY Neurology. Clinical practice Pub Date : 2025-02-01 Epub Date: 2024-11-27 DOI:10.1212/CPJ.0000000000200403
Maria Andrea Donahue, Hammad Akram, Julianne D Brooks, Avani C Modi, Jessica Veach, Alison Kukla, Shawna W Benard, Susan T Herman, Kathleen Farrell, David M Ficker, Sahar F Zafar, William H Trescher, Deepa Sirsi, Donald J Phillips, Jacob Pellinen, Jeffrey Buchhalter, Lidia Moura, Brandy E Fureman
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Abstract

Background and objectives: Epilepsy affects approximately 1.2% of the US population, resulting in 3.4 million Americans with active epilepsy. Antiseizure medication (ASM) is considered the mainstay of treatment, effective for two-thirds of people with epilepsy (PWE), while at least one-third experience drug-resistant epilepsy. A significant percentage of PWE who are treated with ASMs report nonadherence to this type of medication, leading to potentially preventable seizures and the potential for being inappropriately classified as having drug-resistant epilepsy. Ongoing seizures are associated with increased morbidity, mortality, and health care costs, among other consequences. Recognizing when PWE struggle with ASM adherence is essential for creating effective interventions and prevention strategies to improve patient outcomes.

Methods: As part of the Epilepsy Learning Healthcare System Registry, we collected data from 2020 through 2023 from 4,917 individuals seen at 8 epilepsy clinics in the United States. In this cross-sectional study, we used logistic regression analysis to examine the relationship between patient-reported seizure control (or provider-reported seizure control for some sites) and endorsed barriers to medication adherence. In addition, we explored potential associations with demographic variables such as sex, race, and ethnicity. The data analysis was conducted using R version 2023.06.1 + 524.

Results: Overall, 18.4% (893/4,848) reported adherence barriers and 37.7% (1,447/3,834) reported seizure control, defined as no seizures for the preceding 12 months or longer. The most prevalent barriers were forgetting to take ASMs (48.2%), experiencing ASM side effects (29.2%), and feeling as if the ASMs were not helping in controlling seizures (21.3%). The PWE who reported adherence barriers had 0.6 lower odds of having seizure control compared with those who did not report barriers (95% CI 0.4-0.7) and 0.6 lower odds of having seizure control after adjusting for race, ethnicity, and sex (95% CI 0.5-0.7).

Discussion: We observed significant barriers to medication adherence and inadequate seizure control among adult PWE across 8 centers in the United States. This study suggests that PWE might benefit from standardized screening for adherence barriers with behavioral strategies to address these barriers offered during clinical encounters to personalize care.

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癫痫患者药物依从性障碍。
背景和目的:癫痫影响约1.2%的美国人口,导致340万美国人患有活动性癫痫。抗癫痫药物(ASM)被认为是主要的治疗方法,对三分之二的癫痫患者(PWE)有效,而至少三分之一的患者患有耐药性癫痫。在接受抗痉挛药物治疗的PWE中,有相当大比例的人报告不坚持使用这类药物,从而导致本可预防的癫痫发作,并有可能被不恰当地归类为耐药癫痫。持续发作与发病率、死亡率和医疗费用增加以及其他后果有关。认识到PWE与ASM依从性的斗争对于制定有效的干预措施和预防策略以改善患者预后至关重要。方法:作为癫痫学习医疗保健系统注册的一部分,我们收集了2020年至2023年在美国8家癫痫诊所就诊的4,917名患者的数据。在这项横断面研究中,我们使用逻辑回归分析来检验患者报告的癫痫发作控制(或某些地区的提供者报告的癫痫发作控制)与认可的药物依从性障碍之间的关系。此外,我们还探讨了与人口统计学变量(如性别、种族和民族)的潜在关联。数据分析使用R版本2023.06.1 + 524。结果:总体而言,18.4%(893/ 4848)报告了依从性障碍,37.7%(1447 / 3834)报告了癫痫发作控制,定义为在过去12个月或更长时间内没有癫痫发作。最常见的障碍是忘记服用ASM(48.2%),经历ASM副作用(29.2%),感觉ASM对控制癫痫发作没有帮助(21.3%)。报告依从性障碍的PWE与没有报告依从性障碍的PWE相比,癫痫发作控制的几率低0.6 (95% CI 0.4-0.7),在调整种族、民族和性别后,癫痫发作控制的几率低0.6 (95% CI 0.5-0.7)。讨论:我们观察到美国8个中心的成人PWE患者在药物依从性和癫痫发作控制方面存在显著障碍。这项研究表明,PWE可能受益于对依从性障碍的标准化筛查,并采用行为策略来解决临床遇到的个性化护理中提供的这些障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neurology. Clinical practice
Neurology. Clinical practice CLINICAL NEUROLOGY-
CiteScore
4.00
自引率
0.00%
发文量
77
期刊介绍: Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.
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