Indiana University Richard M. Fairbanks School of Public Health, Department of Epidemiology, Indianapolis, IN, United States.
JMIR Med Inform. 2016 Feb 8;4(1):e4. doi: 10.2196/medinform.4739.
Patients with diabetes often have poor adherence to using medications as prescribed. The reasons why, however, are not well understood. Furthermore, most health care delivery processes do not routinely assess medication adherence or the factors that contribute to poor adherence.
The objective of the study was to assess the feasibility of an integrated informatics approach to aggregating and displaying clinically relevant data with the potential to identify issues that may interfere with appropriate medication utilization and facilitate patient-provider communication during clinical encounters about strategies to improve medication use.
We developed a clinical dashboard within an electronic health record (EHR) system that uses data from three sources: the medical record, pharmacy claims, and a patient portal. Next, we implemented the dashboard into three community health centers. Health care providers (n=15) and patients with diabetes (n=96) were enrolled in a before-after pilot to test the system's impact on medication adherence and clinical outcomes. To measure adherence, we calculated the proportion of days covered using pharmacy claims. Demographic, laboratory, and visit data from the EHR were analyzed using pairwise t tests. Perceived barriers to adherence were self-reported by patients. Providers were surveyed about their use and perceptions of the clinical dashboard.
Adherence significantly and meaningfully improved (improvements ranged from 6%-20%) consistently across diabetes as well as cardiovascular drug classes. Clinical outcomes, including HbA1c, blood pressure, lipid control, and emergency department utilization remained unchanged. Only a quarter of patients (n=24) logged into the patient portal and completed psychosocial questionnaires about their barriers to taking medications.
Integrated approaches using advanced EHR, clinical decision support, and patient-controlled technologies show promise for improving appropriate medication use and supporting better management of chronic conditions. Future research and development is necessary to design, implement, and integrate the myriad of EHR and clinical decision support systems as well as patient-focused information systems into routine care and patient processes that together support health and well-being.
糖尿病患者经常不遵医嘱用药。然而,导致这种情况的原因尚不清楚。此外,大多数医疗保健服务流程并没有常规评估药物依从性或导致药物依从性差的因素。
本研究旨在评估一种集成信息学方法的可行性,该方法可以汇总和显示与潜在问题相关的临床相关数据,这些问题可能会干扰适当的药物使用,并在临床就诊时促进患者与提供者之间的沟通,以改善药物使用策略。
我们在电子健康记录(EHR)系统中开发了一个临床仪表盘,该仪表盘使用来自三个来源的数据:病历、药房理赔和患者门户。接下来,我们将该仪表盘实施到三个社区卫生中心。招募了 15 名医疗保健提供者和 96 名糖尿病患者参加了一项前后试点研究,以测试该系统对药物依从性和临床结果的影响。我们使用药房理赔来计算用药覆盖率的比例来衡量药物依从性。使用配对 t 检验分析 EHR 中的人口统计学、实验室和就诊数据。患者自我报告他们对药物的依从性的感知障碍。调查了提供者对临床仪表盘的使用情况和看法。
糖尿病以及心血管药物类别中,药物依从性均有显著和有意义的改善(改善幅度从 6%到 20%不等)。临床结果,包括 HbA1c、血压、血脂控制和急诊就诊率均无变化。只有四分之一的患者(n=24)登录患者门户并完成了有关其服药障碍的心理社会问卷。
使用先进的 EHR、临床决策支持和患者控制技术的集成方法显示出改善适当药物使用和更好地管理慢性疾病的前景。需要进行未来的研究和开发,以设计、实施和整合无数的 EHR 和临床决策支持系统以及以患者为中心的信息系统,纳入常规护理和患者流程,共同支持健康和福祉。