Postdoctoral Fellow, Health Outcomes and Policy Research, University of Tennessee Health Science Center College of Pharmacy, Memphis.
University of Tennessee Health Science Center College of Pharmacy, Memphis.
J Manag Care Spec Pharm. 2021 Aug;27(8):971-981. doi: 10.18553/jmcp.2021.27.8.971.
Previous studies have documented factors influencing medication nonadherence among the Medicare population, but few studies have examined medication nonadherence among the Medicare low-income subsidy (LIS) population. Furthermore, little is known about the factors associated with nonadherence among this population, especially those with prevalent chronic conditions such as type 2 diabetes, hypertension, or heart failure. To examine factors associated with the likelihood of medication nonadherence among Medicare LIS recipients with type 2 diabetes, hypertension, or heart failure. This was a retrospective analysis of 2012-2013 Medicare Parts A, B, and D claims (most recent available for this research) linked to the Area Health Resources Files. Beneficiaries aged 65 years or older with continuous Medicare coverage and receiving any LIS were included. Individuals were categorized into full LIS or partial LIS groups. Nonadherence was determined by the proportion of days covered less than 80% for specified oral type 2 diabetes, hypertension, and heart failure medications, as defined by the Pharmacy Quality Alliance. A multivariate logistic regression was used to determine and compare individual-level and community-level characteristics associated with nonadherence among the entire study sample, the full LIS group, and the partial LIS group. The study sample included 505,771 Medicare beneficiaries, with 448,509 (88.7%) receiving full LIS and 57,262 (11.3%) receiving partial LIS. The proportion of individuals nonadherent was higher among the full LIS population (33.2%) than that of the partial LIS population (30.8%). Among the entire population, younger age was associated with nonadherence (OR = 0.98; 95% CI = 0.98-0.99). Men were more likely to be nonadherent than women (OR = 1.12; 95% CI = 1.11-1.14). Compared with non-Hispanic Whites, racial/ethnic minorities had higher nonadherence. Compared with beneficiaries who were non-Hispanic White, the ORs for those who were Black, Hispanic, Asian, and other were 1.41 (95% CI = 1.38-1.43), 1.58 (95% CI = 1.55-1.61), 1.08 (95% CI = 1.05-1.11), and 1.63 (95% CI = 1.56-1.70), respectively. There were higher nonadherence rates among patients living in communities with lower socioeconomic characteristics, such as a metropolitan statistical area (MSA vs non-MSA; OR = 1.05, 95% CI = 1.04-1.07). A higher risk adjustment summary score, indicating worse health status, was associated with an increased likelihood of medication nonadherence (OR = 1.21; 95% CI = 1.20-1.22). These patterns were similar among the full and partial LIS groups. Individual- and community-level characteristics were associated with the likelihood of medication nonadherence among Medicare LIS recipients with type 2 diabetes, hypertension, or heart failure. These characteristics included younger age, male sex, racial/ethnic minorities, living in lower socioeconomic communities, and a higher risk adjustment summary score. This study provided insight into medication nonadherence within the Medicare LIS population and identified the need to consider these factors when developing future policies to improve medication adherence. This study was funded by the Pharmaceutical Research & Manufacturers of America (PhRMA), which was involved in the preparation and revision of the manuscript. Dougherty is employed by PhRMA. Todor was a PQA-CVS Health Foundation Scholar who was funded to work on this study. Hines is employed by Pharmacy Quality Alliance. Wang reports grants from AbbVie, Curo, Bristol Myers Squibb, and Pfizer, during the time of this study, and fees from the PhRMA Foundation for work on its Heath Outcomes Research Advisor Committee. The other authors have nothing to disclose. This study was presented as a poster at the online 2020 PQA Annual Meeting, May 7, 2020.
先前的研究记录了影响医疗保险人群药物依从性的因素,但很少有研究调查医疗保险低收入补贴(LIS)人群的药物依从性。此外,人们对这一人群药物依从性相关因素的了解甚少,尤其是那些患有常见慢性病(如 2 型糖尿病、高血压或心力衰竭)的人群。
本研究旨在探讨影响 2 型糖尿病、高血压或心力衰竭的医疗保险 LIS 受种者药物不依从的因素。
这是对 2012-2013 年医疗保险 A、B 和 D 部分(该研究中最新的部分)与地区卫生资源档案链接的回顾性分析。纳入了年龄在 65 岁或以上、连续医疗保险覆盖并接受任何 LIS 的受益人群。将个体分为全 LIS 组或部分 LIS 组。非依从性通过指定口服 2 型糖尿病、高血压和心力衰竭药物的比例低于 80%来确定,该比例由药房质量联盟定义。采用多变量逻辑回归来确定和比较全研究样本、全 LIS 组和部分 LIS 组中与整个研究样本、全 LIS 组和部分 LIS 组中不依从性相关的个体水平和社区水平特征。
该研究样本包括 505771 名医疗保险受益人群,其中 448509 名(88.7%)接受全 LIS,57262 名(11.3%)接受部分 LIS。全 LIS 人群的不依从率(33.2%)高于部分 LIS 人群(30.8%)。在整个人群中,年龄较小与不依从相关(OR=0.98;95%CI=0.98-0.99)。男性比女性更容易不依从(OR=1.12;95%CI=1.11-1.14)。与非西班牙裔白人相比,种族/民族少数群体的不依从率更高。与非西班牙裔白人相比,黑人、西班牙裔、亚洲人和其他人的 OR 分别为 1.41(95%CI=1.38-1.43)、1.58(95%CI=1.55-1.61)、1.08(95%CI=1.05-1.11)和 1.63(95%CI=1.56-1.70)。居住在社会经济特征较低的社区(如大都市统计区(MSA)与非 MSA 相比)的患者不依从率更高(OR=1.05,95%CI=1.04-1.07)。风险调整综合评分较高,表明健康状况较差,与药物不依从的可能性增加相关(OR=1.21;95%CI=1.20-1.22)。这些模式在全 LIS 和部分 LIS 组中相似。
个体和社区水平的特征与 2 型糖尿病、高血压或心力衰竭的医疗保险 LIS 受种者药物不依从的可能性相关。这些特征包括年龄较小、男性、种族/民族少数群体、居住在社会经济地位较低的社区以及风险调整综合评分较高。本研究深入了解了医疗保险 LIS 人群的药物不依从性,并确定在制定未来提高药物依从性的政策时需要考虑这些因素。
本研究由制药研究与制造商协会(PhRMA)资助,该协会参与了手稿的编写和修订。Dougherty 受雇于 PhRMA。Todor 是 PQA-CVS 健康基金会学者,他的工作得到了该基金会的资助。Hines 受雇于药房质量联盟。Wang 报告说,在研究期间,他从 AbbVie、Curo、Bristol Myers Squibb 和 Pfizer 获得了拨款,并且在 PhRMA 基金会的卫生成果研究顾问委员会工作时获得了费用。其他作者没有要披露的内容。本研究以海报形式在 2020 年 PQA 年会上在线展示,2020 年 5 月 7 日。