John Charles Matulis Rd, Jason Greenwood, Michele Eberle, Benjamin Anderson, David Blair, Rajeev Chaudhry
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The intervention integrated structured clinical data, including recent BP readings, laboratory results, and visit dates, into the electronic prescription renewal interface to facilitate prescriber decision-making regarding hypertension management. A difference-in-differences (DID) design compared pre- and postintervention hypertension control rates between the intervention and control groups. Data were collected from the Epic EHR system and analyzed using linear regression models.</p><p><strong>Results: </strong>The baseline BP control rates were slightly higher in intervention clinics. Postimplementation, no significant improvement in population-level hypertension control was observed (DID estimate: 0.07%, 95% CI -4.0% to 4.1%; P=.97). Of the 19,968 refill requests processed, 46% met all monitoring criteria. However, clinician approval rates remained high (90%), indicating minimal impact on prescribing behavior.</p><p><strong>Conclusions: </strong>Despite successful implementation, the tool did not significantly improve hypertension control, possibly due to competing quality initiatives and high in-basket volumes. Future iterations should focus on enhanced integration with other decision support tools and strategies to improve clinician engagement and patient outcomes. 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引用次数: 0
摘要
背景:改善电子健康记录(EHR)对慢性降压药物更新请求的管理流程可能是在个人和人群水平上加强血压(BP)管理的一个机会。目的:本研究旨在评估eRx HTN图表检查的有效性,eRx HTN图表检查是一种综合临床决策支持工具,可用于抗高血压药物补充请求,以促进加强提供者对慢性高血压的管理。方法:该研究在两个梅奥诊所进行——威斯康星西北家庭医学和罗切斯特社区内科实践——并在梅奥诊所的可比实践中进行对照组。该干预措施将结构化的临床数据,包括最近的血压读数、实验室结果和就诊日期,整合到电子处方更新界面中,以促进处方者对高血压管理的决策。采用差异中的差异(DID)设计比较干预组和对照组之间干预前和干预后的高血压控制率。从Epic EHR系统中收集数据,并使用线性回归模型进行分析。结果:干预诊所基线血压控制率略高。实施后,未观察到人群水平高血压控制的显著改善(DID估计:0.07%,95% CI -4.0%至4.1%;P = .97点)。在处理的19,968个补充请求中,46%符合所有监测标准。然而,临床医生的批准率仍然很高(90%),表明对处方行为的影响很小。结论:尽管实施成功,但该工具并没有显著改善高血压控制,可能是由于竞争性的质量倡议和高购物篮量。未来的迭代应侧重于增强与其他决策支持工具和策略的集成,以提高临床医生的参与度和患者的治疗效果。需要进一步研究通过ehr集成决策支持系统优化慢性病管理。
Implementation of an Integrated, Clinical Decision Support Tool at the Point of Antihypertensive Medication Refill Request to Improve Hypertension Management: Controlled Pre-Post Study.
Background: Improving processes regarding the management of electronic health record (EHR) requests for chronic antihypertensive medication renewals may represent an opportunity to enhance blood pressure (BP) management at the individual and population level.
Objective: This study aimed to evaluate the effectiveness of the eRx HTN Chart Check, an integrated clinical decision support tool available at the point of antihypertensive medication refill request, in facilitating enhanced provider management of chronic hypertension.
Methods: The study was conducted at two Mayo Clinic sites-Northwest Wisconsin Family Medicine and Rochester Community Internal Medicine practices-with control groups in comparable Mayo Clinic practices. The intervention integrated structured clinical data, including recent BP readings, laboratory results, and visit dates, into the electronic prescription renewal interface to facilitate prescriber decision-making regarding hypertension management. A difference-in-differences (DID) design compared pre- and postintervention hypertension control rates between the intervention and control groups. Data were collected from the Epic EHR system and analyzed using linear regression models.
Results: The baseline BP control rates were slightly higher in intervention clinics. Postimplementation, no significant improvement in population-level hypertension control was observed (DID estimate: 0.07%, 95% CI -4.0% to 4.1%; P=.97). Of the 19,968 refill requests processed, 46% met all monitoring criteria. However, clinician approval rates remained high (90%), indicating minimal impact on prescribing behavior.
Conclusions: Despite successful implementation, the tool did not significantly improve hypertension control, possibly due to competing quality initiatives and high in-basket volumes. Future iterations should focus on enhanced integration with other decision support tools and strategies to improve clinician engagement and patient outcomes. Further research is needed to optimize chronic disease management through EHR-integrated decision support systems.
期刊介绍:
JMIR Medical Informatics (JMI, ISSN 2291-9694) is a top-rated, tier A journal which focuses on clinical informatics, big data in health and health care, decision support for health professionals, electronic health records, ehealth infrastructures and implementation. It has a focus on applied, translational research, with a broad readership including clinicians, CIOs, engineers, industry and health informatics professionals.
Published by JMIR Publications, publisher of the Journal of Medical Internet Research (JMIR), the leading eHealth/mHealth journal (Impact Factor 2016: 5.175), JMIR Med Inform has a slightly different scope (emphasizing more on applications for clinicians and health professionals rather than consumers/citizens, which is the focus of JMIR), publishes even faster, and also allows papers which are more technical or more formative than what would be published in the Journal of Medical Internet Research.