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癫痫患者的多药治疗方案组成及与患者和提供者相关的变异性。

Polypharmacy composition and patient- and provider-related variation in patients with epilepsy.

机构信息

University of Michigan, Department of Neurology, Ann Arbor, MI 48109, USA; University of Michigan, Institute for Healthcare Policy and Innovation, Ann Arbor, MI 48109, USA.

University of Michigan, Institute for Healthcare Policy and Innovation, Ann Arbor, MI 48109, USA; Department of General Internal Medicine, Bern University Hospital, Inselspital, University of Bern, Bern, Switzerland; Institute of Primary Health Care (BIHAM), University of Bern, Switzerland; Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI 48109, USA.

出版信息

Epilepsy Behav. 2022 Jan;126:108428. doi: 10.1016/j.yebeh.2021.108428. Epub 2021 Dec 1.

Abstract

OBJECTIVE

To describe polypharmacy composition, and the degree to which patients versus providers contribute to variation in medication fills, in people with epilepsy.

METHODS

We performed a retrospective study of Medicare beneficiaries with epilepsy (antiseizure medication plus diagnostic codes) in 2014 (N = 78,048). We described total number of medications and prescribers, and specific medications. Multilevel models evaluated the percentage of variation in two outcomes (1. number of medications per patient-provider dyad, and 2. whether a medication was filled within thirty days of a visit) due to patient-to-patient differences versus provider-to-provider differences.

RESULTS

Patients filled a median of 12 (interquartile range [IQR] 8-17) medications, from median of 5 (IQR 3-7) prescribers. Twenty-two percent filled an opioid, and 61% filled at least three central nervous system medications. Levetiracetam was the most common medication (40%), followed by hydrocodone/acetaminophen (27%). The strongest predictor of medications per patient was Charlson comorbidity index (7.5 [95% confidence interval (CI) 7.2-7.8] additional medications for index 8+ versus 0). Provider-to-provider variation explained 36% of variation in number of medications per patient, whereas patient-to-patient variation explained only 2% of variation. Provider-to-provider variation explained 57% of variation in whether a patient filled a medication within 30 days of a visit, whereas patient-to-patient variation explained only 30% of variation.

CONCLUSION

Patients with epilepsy fill a large number of medications from a large number of providers, including high-risk medications. Variation in medication fills was substantially more related to provider-to-provider rather than patient-to-patient variation. The better understanding of drivers of high-prescribing practices may reduce avoidable medication-related harms.

摘要

目的

描述癫痫患者的多种药物治疗方案组成,以及患者和医生在药物治疗方案中的差异对药物使用的影响。

方法

我们对 2014 年医疗保险受益人群中患有癫痫(抗癫痫药物加诊断代码)的患者(n=78048)进行了回顾性研究。我们描述了患者使用药物的种类和数量,以及具体的药物种类。多水平模型评估了两种结果(1. 每个患者-医生组合中药物的数量;2. 药物是否在就诊后 30 天内开具)的患者间差异和医生间差异对结果的影响程度。

结果

患者平均使用了 12 种(四分位间距[IQR]8-17)药物,来自 5 位(IQR 3-7)医生。22%的患者使用了阿片类药物,61%的患者使用了至少三种中枢神经系统药物。左乙拉西坦是最常用的药物(40%),其次是氢可酮/对乙酰氨基酚(27%)。预测患者使用药物种类的最强因素是 Charlson 合并症指数(指数 8+的患者比指数 0 的患者多使用 7.5[95%置信区间(CI)7.2-7.8]种药物)。医生间差异解释了患者使用药物数量的 36%的变异,而患者间差异仅解释了 2%的变异。医生间差异解释了患者是否在就诊后 30 天内开具药物的 57%的变异,而患者间差异仅解释了 30%的变异。

结论

癫痫患者使用了大量的药物,这些药物来自大量的医生,包括高风险的药物。药物使用的差异主要与医生间的差异有关,而不是患者间的差异。更好地了解导致高处方率的因素可能会减少可避免的药物相关伤害。

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