Generating Real-World Evidence From the Excellence Network in Rheumatology.

IF 2.4 4区 医学 Q3 PHARMACOLOGY & PHARMACY
Timothy Beukelman, Amy Mudano, Patrick Stewart, Shilpa Venkatachalam, Fenglong Xie, Michael George, Howard Busch, Priya Reddy, Kenneth G Saag, Yujie Su, Jeffrey R Curtis
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Abstract

Purpose: The Excellence Network in RheumatoloGY (ENRGY) was founded in 2021 and encompasses data from more than 700 private practice rheumatology providers throughout the United States, forming a practice-based research network (PBRN).

Methods: Electronic health record (EHR) data from participating practices are aggregated, including structured data (e.g., clinical assessments) and unstructured data from two different EHR platforms. Targeted data quality efforts ensure capture of high-quality clinical data and reduce missingness. ENRGY network membership also provides participating sites access to technology services that enhance patient care. Centralized ethics approval and pre-existing legal agreements along with electronic tools to curate data and contact eligible study participants improves efficiency of multi-center prospective studies.

Results: The ENRGY data warehouse includes linked administrative claims data for commercial and government-provided insurance (31% of patients linked to commercial claims) and patient-generated health data from both in-office and out-of-office settings via a smartphone app as well as biosensor data. ENRGY data and infrastructure can be employed to identify the highest yield sites for prospective studies; identify patients meeting study eligibility criteria; pre-screen individual patient's willingness to participate in specific studies; centralize study data monitoring; and assist in the conduct of prospective studies.

Conclusion: ENRGY data have been used to generate a growing number of scientific publications and may serve as a model for PBRNs in other specialties seeking to harness the potential of data linkages, patient-generated data capture, and centralized study infrastructure for observational and interventional research.

从风湿病学卓越网络中产生真实世界的证据。
目的:风湿病卓越网络(energy)成立于2021年,涵盖了来自美国700多家私人风湿病诊所的数据,形成了一个基于实践的研究网络(PBRN)。方法:汇总来自参与实践的电子健康记录(EHR)数据,包括结构化数据(如临床评估)和来自两个不同EHR平台的非结构化数据。有针对性的数据质量工作确保捕获高质量的临床数据并减少丢失。能源网络的会员资格也为参与的网站提供了获得技术服务的机会,从而提高患者的护理水平。集中的伦理审批和预先存在的法律协议,以及电子工具来管理数据和联系合格的研究参与者,提高了多中心前瞻性研究的效率。结果:energy数据仓库包括与商业和政府提供的保险相关的行政索赔数据(31%的患者与商业索赔相关),以及通过智能手机应用程序和生物传感器数据从办公室和办公室外的设置中生成的患者健康数据。能源数据和基础设施可用于确定前瞻性研究的最高产量地点;确定符合研究资格标准的患者;预筛选个体患者参与特定研究的意愿;集中监测研究数据;并协助进行前瞻性研究。结论:能源数据已被用于产生越来越多的科学出版物,并可作为其他专业pbrn寻求利用数据链接、患者生成数据捕获和集中研究基础设施进行观察和介入性研究的潜力的模型。
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来源期刊
CiteScore
4.80
自引率
7.70%
发文量
173
审稿时长
3 months
期刊介绍: The aim of Pharmacoepidemiology and Drug Safety is to provide an international forum for the communication and evaluation of data, methods and opinion in the discipline of pharmacoepidemiology. The Journal publishes peer-reviewed reports of original research, invited reviews and a variety of guest editorials and commentaries embracing scientific, medical, statistical, legal and economic aspects of pharmacoepidemiology and post-marketing surveillance of drug safety. Appropriate material in these categories may also be considered for publication as a Brief Report. Particular areas of interest include: design, analysis, results, and interpretation of studies looking at the benefit or safety of specific pharmaceuticals, biologics, or medical devices, including studies in pharmacovigilance, postmarketing surveillance, pharmacoeconomics, patient safety, molecular pharmacoepidemiology, or any other study within the broad field of pharmacoepidemiology; comparative effectiveness research relating to pharmaceuticals, biologics, and medical devices. Comparative effectiveness research is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition, as these methods are truly used in the real world; methodologic contributions of relevance to pharmacoepidemiology, whether original contributions, reviews of existing methods, or tutorials for how to apply the methods of pharmacoepidemiology; assessments of harm versus benefit in drug therapy; patterns of drug utilization; relationships between pharmacoepidemiology and the formulation and interpretation of regulatory guidelines; evaluations of risk management plans and programmes relating to pharmaceuticals, biologics and medical devices.
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