Approach to Estimating Adherence to Heart Failure Medications Using Linked Electronic Health Record and Pharmacy Data.

IF 4.3 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of General Internal Medicine Pub Date : 2024-11-25 DOI:10.1007/s11606-024-09216-5
Saul Blecker, Yunan Zhao, Xiyue Li, Ian M Kronish, Amrita Mukhopadhyay, Tyrel Stokes, Samrachana Adhikari
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Abstract

Background: Medication non-adherence, which is common in chronic diseases such as heart failure, is often estimated using proportion of days covered (PDC). PDC is typically calculated using medication fill information from pharmacy or insurance claims data, which lack information on when medications are prescribed. Many electronic health records (EHRs) have prescription and pharmacy fill data available, enabling enhanced PDC assessment that can be utilized in routine clinical care.

Objective: To describe our approach to calculating PDC using linked EHR-pharmacy data and to compare to PDC calculated using pharmacy-only data for patients with heart failure.

Methods: We performed a retrospective cohort study of adult patients with heart failure who were prescribed guideline-directed medical therapy (GDMT) and seen in a large health system. Using linked EHR-pharmacy data, we estimated medication adherence by PDC as the percent of days in which a patient possessed GDMT based on medication pharmacy fills over the number of days the prescription order was active. We also calculated PDC using pharmacy-only data, calculated as medications possessed over days with continued medication fills. We compared these two approaches for days observed and PDC using a paired t-test.

Results: Among 33,212 patients with heart failure who were prescribed GDMT, 2226 (6.7%) never filled their medications, making them unavailable in the assessment of PDC using pharmacy-only data (n = 30,995). Linked EHR-pharmacy data had slightly longer days observed for PDC assessment (164.7 vs. 163.4 days; p < 0.001) and lower PDC (78.5 vs. 90.6, p < 0.001) as compared to assessment using pharmacy-only data.

Conclusions: Linked EHR-pharmacy data can be used to identify patients who never fill their prescriptions. Estimating adherence using linked EHR-pharmacy data resulted in a lower mean PDC as compared to estimates using pharmacy-only data.

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利用关联的电子健康记录和药房数据估算心力衰竭药物依从性的方法。
背景:不遵医嘱用药在心力衰竭等慢性病中很常见,通常采用覆盖天数比例(PDC)来估算不遵医嘱用药情况。PDC 通常使用药房或保险理赔数据中的用药信息来计算,而这些数据缺乏关于何时开药的信息。许多电子健康记录(EHR)都有处方和药房配药数据,因此可以加强 PDC 评估,并将其应用于常规临床护理中:目的:描述我们利用电子病历与药房数据链接计算 PDC 的方法,并与仅利用药房数据计算的心衰患者 PDC 进行比较:我们对一个大型医疗系统中开具指导性医疗疗法(GDMT)处方并就诊的成年心衰患者进行了一项回顾性队列研究。利用电子病历与药房的关联数据,我们通过 PDC 对患者的用药依从性进行了估算,PDC 是指在处方单有效天数的基础上,患者在药房完成 GDMT 治疗的天数百分比。我们还使用纯药房数据计算 PDC,计算方法是在持续用药的天数中拥有的药物。我们使用配对 t 检验比较了这两种方法的观察天数和 PDC:在 33212 名接受 GDMT 治疗的心衰患者中,有 2226 人(6.7%)从未服药,因此无法使用纯药学数据(n = 30995)评估 PDC。关联的电子病历-药房数据用于 PDC 评估的观察天数稍长(164.7 天 vs. 163.4 天;P关联的电子病历-药房数据可用于识别从未开具处方的患者。与仅使用药房数据进行估算相比,使用关联电子病历-药房数据进行依从性估算的平均 PDC 更低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of General Internal Medicine
Journal of General Internal Medicine 医学-医学:内科
CiteScore
7.70
自引率
5.30%
发文量
749
审稿时长
3-6 weeks
期刊介绍: The Journal of General Internal Medicine is the official journal of the Society of General Internal Medicine. It promotes improved patient care, research, and education in primary care, general internal medicine, and hospital medicine. Its articles focus on topics such as clinical medicine, epidemiology, prevention, health care delivery, curriculum development, and numerous other non-traditional themes, in addition to classic clinical research on problems in internal medicine.
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