دورية أكاديمية
Equity and bias in electronic health records data.
العنوان: | Equity and bias in electronic health records data. |
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المؤلفون: | Boyd AD; Department of Biomedical and Health Information Sciences, University of Illinois Chicago, Chicago, IL, United States of America. Electronic address: boyda@uic.edu., Gonzalez-Guarda R; Duke University School of Nursing, Durham, NC, United States of America., Lawrence K; Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States of America., Patil CL; University of Illinois Chicago, College of Nursing, Chicago, IL, United States of America., Ezenwa MO; University of Florida College of Nursing, Gainesville, FL, United States of America., O'Brien EC; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America., Paek H; Yale University, New Haven, CT, United States of America., Braciszewski JM; Henry Ford Health, Detroit, MI, United States of America., Adeyemi O; New York University Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, NY, United States of America., Cuthel AM; New York University Grossman School of Medicine, Ronald O. Perelman Department of Emergency Medicine, New York, NY, United States of America., Darby JE; University of Illinois Chicago, College of Nursing, Chicago, IL, United States of America., Zigler CK; Duke University School of Medicine, Durham, NC, United States of America., Ho PM; Division of Cardiology, University of Colorado School of Medicine, Aurora, CO, United States of America., Faurot KR; Department of Physical Medicine and Rehabilitation, University of North Carolina School of Medicine, Chapel Hill, NC, United States of America., Staman K; Duke University School of Medicine, Durham, NC, United States of America., Leigh JW; University of Illinois Chicago, College of Nursing, Chicago, IL, United States of America., Dailey DL; St. Ambrose University, Davenport, IA, United States of America; University of Iowa, Iowa City, IA, United States of America., Cheville A; Mayo Clinic Comprehensive Cancer Center, Rochester, MN, United States of America., Del Fiol G; Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States of America., Knisely MR; Duke University School of Nursing, Durham, NC, United States of America., Marsolo K; Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America., Richesson RL; Department of Learning Health Sciences, University of Michigan Medical School., Schlaeger JM; University of Illinois Chicago, College of Nursing, Chicago, IL, United States of America. |
المصدر: | Contemporary clinical trials [Contemp Clin Trials] 2023 Jul; Vol. 130, pp. 107238. Date of Electronic Publication: 2023 May 22. |
نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural |
اللغة: | English |
بيانات الدورية: | Publisher: Elsevier Country of Publication: United States NLM ID: 101242342 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-2030 (Electronic) Linking ISSN: 15517144 NLM ISO Abbreviation: Contemp Clin Trials Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: New York, N.Y. : Elsevier, c2005- |
مواضيع طبية MeSH: | Electronic Health Records* , Health Equity*, Humans ; Health Promotion ; Bias ; Data Accuracy |
مستخلص: | Embedded pragmatic clinical trials (ePCTs) are conducted during routine clinical care and have the potential to increase knowledge about the effectiveness of interventions under real world conditions. However, many pragmatic trials rely on data from the electronic health record (EHR) data, which are subject to bias from incomplete data, poor data quality, lack of representation from people who are medically underserved, and implicit bias in EHR design. This commentary examines how the use of EHR data might exacerbate bias and potentially increase health inequities. We offer recommendations for how to increase generalizability of ePCT results and begin to mitigate bias to promote health equity. Competing Interests: Declaration of Competing Interest ECO Reports grants to her institution from Pfizer, BMS, and Novartis. KM reports grants and contracts to his institution from Novartis, Amgen, Seqirus, Genentech, BMS, and Boehringer Ingelheim. ADB reports grants from Alike Health, travel from Microsoft. All other authors have nothing to disclose. (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.) |
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معلومات مُعتمدة: | UH3 AT009838 United States AT NCCIH NIH HHS; UH3 AR076387 United States AR NIAMS NIH HHS; UH3 AG067593 United States AG NIA NIH HHS; UG3 DA047003 United States DA NIDA NIH HHS; UG3 AT009844 United States AT NCCIH NIH HHS; UH3 HL144163 United States HL NHLBI NIH HHS; U24 AT010961 United States AT NCCIH NIH HHS; UH3 AT011265 United States AT NCCIH NIH HHS; UH3 AT010739 United States AT NCCIH NIH HHS; UH3 AT010621 United States AT NCCIH NIH HHS; UG3 AT009838 United States AT NCCIH NIH HHS; UG3 AT010621 United States AT NCCIH NIH HHS; UH3 DA047003 United States DA NIDA NIH HHS; UG3 AR076387 United States AR NIAMS NIH HHS; UG3 HL144163 United States HL NHLBI NIH HHS; UG3 AT011265 United States AT NCCIH NIH HHS; UH3 NR019943 United States NR NINR NIH HHS; UH3 AT009844 United States AT NCCIH NIH HHS; UG3 AG067593 United States AG NIA NIH HHS; UG3 AT010739 United States AT NCCIH NIH HHS; UG3 NR019943 United States NR NINR NIH HHS |
فهرسة مساهمة: | Keywords: Community engagement; Health equity; Health literacy; Patient-reported outcomes; Social determinants of health |
تواريخ الأحداث: | Date Created: 20230524 Date Completed: 20230614 Latest Revision: 20240702 |
رمز التحديث: | 20240702 |
مُعرف محوري في PubMed: | PMC10330606 |
DOI: | 10.1016/j.cct.2023.107238 |
PMID: | 37225122 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1559-2030 |
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DOI: | 10.1016/j.cct.2023.107238 |