医疗保险 D 部分综合用药审查对坚持用药方面的种族和民族差异的影响。

IF 1.4 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES American Health and Drug Benefits Pub Date : 2021-09-01
Xiaobei Dong, Chi Chun Steve Tsang, Shirong Zhao, Jim Y Wan, Ya-Chen Tina Shih, Marie A Chisholm-Burns, Samuel Dagogo-Jack, William C Cushman, Lisa E Hines, Junling Wang
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引用次数: 0

摘要

背景:大量研究记录了美国少数族裔与白人在符合医疗保险 D 部分药物治疗管理 (MTM) 计划资格标准方面的不平等。尽管美国医疗保险与医疗补助服务中心(Centers for Medicare & Medicaid Services)试图放宽资格标准,但有效进行 MTM 改革的一个关键障碍是缺乏更有力的证据来证明 MTM 对少数族裔健康状况的影响:目的:研究综合用药审查(CMR)这一 MTM 核心内容对年龄≥65 岁的医疗保险受益人在糖尿病、高血压和高脂血症药物依从性方面的种族和民族差异的影响:本研究使用了 2017 年全年的医疗保险 A、B 和 D 部分报销数据,包括与地区卫生资源档案链接的 MTM 数据。比较了 CMR 受助者与按倾向分数匹配的非受助者之间在糖尿病、高血压和高脂血症药物不依从性方面的种族和民族差异。为了确定接受 CMR 后种族和民族差异的变化情况,采用了差异中的差异框架,在逻辑回归分析中加入了接受 CMR 的虚拟变量与各少数种族或民族群体之间的交互项:结果:与未接受 CMR 的人群相比,接受 CMR 的人群在 3 项结果测量中的种族和民族差异显著降低,但白人和黑人在不坚持服用糖尿病药物方面的差异除外。例如,与未接受 CMR 的人群相比,接受 CMR 的人群不坚持服用高血压药物的几率分别降低了 8%(95% 置信区间 [CI],0.88-0.96)。96);白人与西班牙裔之间降低了 18%(95% 置信区间,0.78-0.86);白人与亚裔之间降低了 16%(95% 置信区间,0.77-0.91);白人与其他种族和民族群体之间降低了 9%(95% 置信区间,0.85-0.98):接受 CMR 减少了年龄≥65 岁的医疗保险受益人在糖尿病、高血压和高脂血症药物治疗依从性方面的种族和民族差异。这些研究结果提供了重要的实证证据,可为医疗保险 D 部分 MTM 计划的未来设计提供参考,该计划对改善药物治疗效果很有价值,如果有更多少数种族和民族的人加入,还能进一步发挥其潜力。
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Effects of the Medicare Part D Comprehensive Medication Review on Racial and Ethnic Disparities in Medication Adherence.

Background: Substantial research has documented inequalities between US minorities and whites in meeting the eligibility criteria for the Medicare Part D medication therapy management (MTM) program. Even though the Centers for Medicare & Medicaid Services attempted to relax the eligibility criteria, a critical barrier to effective MTM reform is a lack of stronger evidence about the effects of MTM on minorities' health outcomes.

Objective: To examine the effects of comprehensive medication review (CMR), an MTM core component, on racial and ethnic disparities in adherence to diabetes, hypertension, and hyperlipidemia medications among Medicare beneficiaries aged ≥65 years.

Methods: This study used full-year 2017 Medicare Parts A, B, and D claims data, including MTM data, linked to the Area Health Resources Files. Racial and ethnic disparities in nonadherence to diabetes, hypertension, and hyperlipidemia medications were compared between CMR recipients and nonrecipients matched by their propensity scores. To determine the changes in racial and ethnic disparities after receiving CMR, a difference-in-differences framework was applied, by including in logistic regression analyses interaction terms between dummy variables for CMR receipt and each racial or ethnic minority group.

Results: Compared with CMR nonrecipients, CMR recipients had significantly lower racial and ethnic disparities across the 3 outcome measures, with the exception of the difference between whites and blacks in nonadherence to diabetes medications. For example, compared with CMR nonrecipients, among CMR recipients the differences in the odds of nonadherence to hypertension medications were reduced, respectively, by 8% (95% confidence interval [CI], 0.88-0.96) between whites and blacks; by 18% (95% CI, 0.78-0.86) between whites and Hispanics; by 16% (95% CI, 0.77-0.91) between whites and Asians; and by 9% (95% CI, 0.85-0.98) between whites and other racial and ethnic groups.

Conclusion: Receiving a CMR reduced the racial and ethnic disparities in adherence to diabetes, hypertension, and hyperlipidemia medications among Medicare beneficiaries aged ≥65 years. These findings provide critical empirical evidence that may inform the future design of the Medicare Part D MTM program, which is valuable for improving pharmacotherapy outcomes and could further realize its potential when additional people from racial and ethnic minorities are enrolled.

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来源期刊
American Health and Drug Benefits
American Health and Drug Benefits Medicine-Health Policy
CiteScore
2.90
自引率
0.00%
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4
期刊介绍: AHDB welcomes articles on clinical-, policy-, and business-related topics relevant to the integration of the forces in healthcare that affect the cost and quality of healthcare delivery, improve healthcare quality, and ultimately result in access to care, focusing on health organization structures and processes, health information, health policies, health and behavioral economics, as well as health technologies, products, and patient behaviors relevant to value-based quality of care.
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