评估未达到非胰岛素糖尿病药物治疗依从性指标的医疗保险优势患者的血红蛋白 A1c 控制情况

IF 1.3 Q4 PHARMACOLOGY & PHARMACY
Mark Doles Pharm.D., Benjamin Caswell Pharm.D., Nicolas Conty Pharm.D.
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引用次数: 0

摘要

背景 临床药剂师的任务通常是改善与用药相关的绩效指标,如糖尿病用药依从性 (MAD)。虽然患者护理的首要目标是获得良好的临床疗效,但根据美国医疗保险和医疗补助服务中心(CMS)的 MAD 指标规范,糖尿病疾病控制不佳是否与糖尿病用药不依从相关,目前尚不得而知。这项回顾性研究旨在确定在基于价值的医疗保险优势支付方-提供方报销模式中被确定为不坚持服用糖尿病药物的患者的疾病状态控制程度及其对临床药剂师的影响。 方法 研究纳入了 2022 年 1 月 1 日至 2022 年 12 月 31 日期间归属于医疗系统聘用的初级医疗服务提供者团体且被确定为非胰岛素糖尿病药物非依从性患者(覆盖天数百分比 [PDC] <80%)。 结果 在符合研究纳入标准的 370 名患者中,256 人(69%)的血红蛋白 A1C 控制在 <7.5%;305 名患者的电子病历中还有之前的 A1C 数据。其中 260 人(85%)的 A1C 在最近两次读数之间有所改善或保持不变。有 160 名(43%)患者的补药记录中列出了空白的原因,包括口头剂量变更、不良反应、生产商提供的药物、退伍军人事务药房的补药、医疗服务提供者的样本或非糖尿病诊断。 结论 被认定为未坚持用药的患者中,有很大一部分人的疾病状态控制程度很高,这表明坚持用药的测量方法存在问题,而不是患者对处方药方案坚持用药的真实反映。基于 PDC 的糖尿病用药依从性改善策略可能需要超越疾病状态控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of hemoglobin A1c control among Medicare advantage patients not meeting non-insulin diabetes medication adherence metric

Background

Clinical pharmacists are often tasked with improving medication-related performance metrics such as medication adherence to diabetes medications (MAD). Although the primary goal in patient care is excellent clinical outcomes, it is unknown if poor diabetes disease state control correlates with nonadherence to diabetes medications per the Centers for Medicare and Medicaid Services (CMS) MAD metric specifications. This retrospective study aimed to identify the degree of disease state control in patients identified as nonadherent to their diabetes medications among patients in value-based Medicare Advantage payer-provider reimbursement models and its impact on the clinical pharmacist.

Methods

Patients attributed to a health system-employed primary care provider group from January 1, 2022 to December 31, 2022 and identified as non-adherent (percentage of days covered [PDC] <80%) for non-insulin diabetic medications were included in the study.

Results

Of the 370 patients who met criteria for study inclusion, 256 (69%) had a controlled hemoglobin A1C of <7.5%; 305 patients also had a previous A1c available in the electronic medical record. Of those, 260 (85%) had an A1C that had improved or was unchanged between the two most recent readings. One hundred sixty (43%) patients had a reason listed for gaps within refill history including verbal dose change, adverse reaction, manufacturer-supplied medications, fills from Veteran's Affairs pharmacy, provider samples, or nondiabetes diagnosis.

Conclusion

A large percentage of patients identified as non-adherent had a high degree of disease state control suggesting an issue with the measurement of adherence rather than a true reflection of patients' adherence with prescribed drug regimens. Strategies to improve diabetes medication adherence based on PDC will likely need to look beyond disease state control.

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