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利用综合药房报销数据来识别原发性治疗不依从情况。

Using aggregated pharmacy claims to identify primary nonadherence.

作者信息

Comer Dominique, Couto Joseph, Aguiar Ruth, Wu Pan, Elliott Daniel

机构信息

Christiana Care Health System, 4755 Ogletown-Stanton Rd, Newark, DE 19718. E-mail:

出版信息

Am J Manag Care. 2015 Dec 1;21(12):e655-60.

Abstract

OBJECTIVES

Aggregate pharmacy claims available within an electronic health record (EHR) provide an opportunity to understand primary nonadherence in real time. The objective of this study was to use pharmacy claims data available within the EHR to identify the prevalence and predictors of primary nonadherence to antihypertensive drug therapy in a multi-payer primary care network.

STUDY DESIGN

We conducted a retrospective cohort study of patients prescribed a new antihypertensive medication in a large primary care practice network between January 2011 and September 2012.

METHODS

We matched prescriptions for the new antihypertensive to pharmacy claims listed in the EHR. The primary outcome was the presence of a fill for the new medication within 30 days of the prescription.

RESULTS

Of 791 patients in our study cohort, two-thirds (522; 66%) filled their prescription within 30 days. The majority (409; 78.4%) of that group filled the prescription on the day it was issued. Lower diastolic blood pressure and Medicare coverage increased the probability of nonadherence.

CONCLUSIONS

Medication fill data within the provider EHR can identify primary nonadherence in clinical practice. As adoption of this technology increases, it provides an opportunity to identify nonadherence, allowing for the effective design of interventions to improve adherence to therapy.

摘要

目的

电子健康记录(EHR)中可用的综合药房索赔提供了实时了解原发性治疗不依从性的机会。本研究的目的是利用EHR中可用的药房索赔数据,确定多支付方初级保健网络中抗高血压药物治疗原发性不依从性的患病率和预测因素。

研究设计

我们对2011年1月至2012年9月期间在一个大型初级保健实践网络中开具新抗高血压药物处方的患者进行了一项回顾性队列研究。

方法

我们将新抗高血压药物的处方与EHR中列出的药房索赔进行匹配。主要结局是在处方开具后30天内是否有新药物的配药记录。

结果

在我们的研究队列中的791名患者中,三分之二(522名;66%)在30天内配药。该组中的大多数(409名;78.4%)在处方开具当天就配药了。较低的舒张压和医疗保险覆盖增加了不依从的可能性。

结论

提供者EHR中的药物配药数据可以识别临床实践中的原发性不依从性。随着这项技术的应用增加,它提供了识别不依从性的机会,从而能够有效地设计干预措施以提高治疗依从性。

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