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Chishtie J, Sapiro N, Wiebe N, Rabatach L, Lorenzetti D, Leung AA, Rabi D, Quan H, Eastwood CA. Use of Epic Electronic Health Record System for Health Care Research: Scoping Review. J Med Internet Res 2023; 25:e51003. [PMID: 38100185 PMCID: PMC10757236 DOI: 10.2196/51003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/29/2023] [Accepted: 11/05/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Electronic health records (EHRs) enable health data exchange across interconnected systems from varied settings. Epic is among the 5 leading EHR providers and is the most adopted EHR system across the globe. Despite its global reach, there is a gap in the literature detailing how EHR systems such as Epic have been used for health care research. OBJECTIVE The objective of this scoping review is to synthesize the available literature on use cases of the Epic EHR for research in various areas of clinical and health sciences. METHODS We used established scoping review methods and searched 9 major information repositories, including databases and gray literature sources. To categorize the research data, we developed detailed criteria for 5 major research domains to present the results. RESULTS We present a comprehensive picture of the method types in 5 research domains. A total of 4669 articles were screened by 2 independent reviewers at each stage, while 206 articles were abstracted. Most studies were from the United States, with a sharp increase in volume from the year 2015 onwards. Most articles focused on clinical care, health services research and clinical decision support. Among research designs, most studies used longitudinal designs, followed by interventional studies implemented at single sites in adult populations. Important facilitators and barriers to the use of Epic and EHRs in general were identified. Important lessons to the use of Epic and other EHRs for research purposes were also synthesized. CONCLUSIONS The Epic EHR provides a wide variety of functions that are helpful toward research in several domains, including clinical and population health, quality improvement, and the development of clinical decision support tools. As Epic is reported to be the most globally adopted EHR, researchers can take advantage of its various system features, including pooled data, integration of modules and developing decision support tools. Such research opportunities afforded by the system can contribute to improving quality of care, building health system efficiencies, and conducting population-level studies. Although this review is limited to the Epic EHR system, the larger lessons are generalizable to other EHRs.
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Affiliation(s)
- Jawad Chishtie
- Center for Health Informatics, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | - Natalie Sapiro
- Center for Health Informatics, University of Calgary, Calgary, AB, Canada
| | - Natalie Wiebe
- Center for Health Informatics, University of Calgary, Calgary, AB, Canada
- Alberta Health Services, Calgary, AB, Canada
| | | | - Diane Lorenzetti
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Health Sciences Library, University of Calgary, Calgary, AB, Canada
| | - Alexander A Leung
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Doreen Rabi
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
- Department of Medicine, University of Calgary, Calgary, AB, Canada
| | - Hude Quan
- Center for Health Informatics, University of Calgary, Calgary, AB, Canada
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
| | - Cathy A Eastwood
- Center for Health Informatics, University of Calgary, Calgary, AB, Canada
- Community Health Sciences, University of Calgary, Calgary, AB, Canada
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Smeijer JD, Kohan DE, Rossing P, Correa-Rotter R, Liew A, Tang SCW, de Zeeuw D, Gansevoort RT, Ju W, Lambers Heerspink HJ. Insulin resistance, kidney outcomes and effects of the endothelin receptor antagonist atrasentan in patients with type 2 diabetes and chronic kidney disease. Cardiovasc Diabetol 2023; 22:251. [PMID: 37716952 PMCID: PMC10505320 DOI: 10.1186/s12933-023-01964-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 08/14/2023] [Indexed: 09/18/2023] Open
Abstract
BACKGROUND Insulin resistance (IR) is a pathophysiologic hallmark of type 2 diabetes and associated with the presence of chronic kidney disease (CKD). Experimental studies suggest that endothelin-1 increases IR. We assessed the association between IR and cardio-renal outcomes and the effect of the selective endothelin receptor antagonist atrasentan on IR in patients with type 2 diabetes and CKD. METHODS We used data from the RADAR and SONAR trials that recruited participants with type 2 diabetes and CKD [eGFR 25-75 mL/min/1.73 m², urine albumin-to-creatinine ratio of 300-5000 mg/g]. IR was calculated using the homeostatic model assessment (HOMA-IR). The association between HOMA-IR and the pre-specified cardio-renal outcomes was assessed using multivariable Cox proportional hazards regression, and effects of atrasentan on HOMA-IR by a linear mixed effect model. RESULTS In the SONAR trial, each log-unit increase in HOMA-IR was associated with an increased risk of the composite cardio-renal outcome [hazard ratio 1.32 (95%CI 1.09,1.60; p = 0.004)], kidney outcome [hazard ratio 1.30 (95%CI 1.00,1.68; p-value = 0.048)], and the kidney or all-cause mortality outcome [hazard ratio 1.25 (95%CI 1.01,1.55; p-value = 0.037)]. After 12 weeks treatment in the RADAR trial (N = 123), atrasentan 0.75 mg/day and 1.25 mg/day compared to placebo reduced HOMA-IR by 19.1 (95%CI -17.4, 44.3) and 26.7% (95%CI -6.4, 49.5), respectively. In the SONAR trial (N = 1914), atrasentan 0.75 mg/day compared to placebo reduced HOMA-IR by 9.6% (95%CI 0.6, 17.9). CONCLUSIONS More severe IR is associated with increased risk of cardio-renal outcomes. The endothelin receptor antagonist atrasentan reduced IR. TRIAL REGISTRATION RADAR trial (Reducing Residual Albuminuria in Subjects With Diabetes and Nephropathy With AtRasentan): NCT01356849. SONAR trial (The Study Of Diabetic Nephropathy With AtRasentan) NCT01858532.
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Affiliation(s)
- J David Smeijer
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Donald E Kohan
- Division of Nephrology, University of Utah Health, Salt Lake City, UT, USA
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ricardo Correa-Rotter
- National Medical Science and Nutrition Institute Salvador Zubirán, Mexico City, Mexico
| | - Adrian Liew
- Mount Elizabeth Novena Hospital, Singapore, Singapore
- George Institute for Global Health, Newtown, Australia
| | - Sydney C W Tang
- Division of Nephrology, Department of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Dick de Zeeuw
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Wenjun Ju
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Hiddo J Lambers Heerspink
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
- George Institute for Global Health, Newtown, Australia.
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