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Early Detection of Poor Adherers to Statins: Applying Individualized Surveillance to Pay for Performance

机译：早期发现他汀类药物不良依从性：运用个体化监测来提高绩效

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BackgroundMedication nonadherence costs $300 billion annually in the US. Medicare Advantage plans have a financial incentive to increase medication adherence among members because the Centers for Medicare and Medicaid Services (CMS) now awards substantive bonus payments to such plans, based in part on population adherence to chronic medications. We sought to build an individualized surveillance model that detects early which beneficiaries will fall below the CMS adherence threshold.

机译：背景在美国，药物不依从每年造成3000亿美元的损失。 Medicare Advantage计划具有经济上的动机来增加成员之间对药物的依从性，因为Medicare和Medicaid Services中心（CMS）现在会部分基于对长期药物的依从性，为此类计划提供实质性奖金。我们试图建立一个个体化的监控模型，以及早发现哪些受益者将低于CMS遵守门槛。

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期刊名称 other
作者
Andrew J. Zimolzak; Claire M. Spettell; Joaquim Fernandes; Vincent A. Fusaro; Nathan P. Palmer; Suchi Saria; Isaac S. Kohane; Magdalena A. Jonikas; Kenneth D. Mandl;
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年(卷),期 -1(8),11
年度 -1
页码 e79611
总页数 8
原文格式 PDF
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Early Detection of Poor Adherers to Statins: Applying Individualized Surveillance to Pay for Performance

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