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      Electronic Health Record–Driven Approaches in Primary Care to Strengthen Hypertension Management Among Racial and Ethnic Minoritized Groups in the United States: Systematic Review

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          Abstract

          Background

          Managing hypertension in racial and ethnic minoritized groups (eg, African American/Black patients) in primary care is highly relevant. However, evidence on whether or how electronic health record (EHR)–driven approaches in primary care can help improve hypertension management for patients of racial and ethnic minoritized groups in the United States remains scarce.

          Objective

          This review aims to examine the role of the EHR in supporting interventions in primary care to strengthen the hypertension management of racial and ethnic minoritized groups in the United States.

          Methods

          A search strategy based on the PICO (Population, Intervention, Comparison, and Outcome) guidelines was utilized to query and identify peer-reviewed articles on the Web of Science and PubMed databases. The search strategy was based on terms related to racial and ethnic minoritized groups, hypertension, primary care, and EHR-driven interventions. Articles were excluded if the focus was not hypertension management in racial and ethnic minoritized groups or if there was no mention of health record data utilization.

          Results

          A total of 29 articles were included in this review. Regarding populations, Black/African American patients represented the largest population (26/29, 90%) followed by Hispanic/Latino (18/29, 62%), Asian American (7/29, 24%), and American Indian/Alaskan Native (2/29, 7%) patients. No study included patients who identified as Native Hawaiian/Pacific Islander. The EHR was used to identify patients (25/29, 86%), drive the intervention (21/29, 72%), and monitor results and outcomes (7/29, 59%). Most often, EHR-driven approaches were used for health coaching interventions, disease management programs, clinical decision support (CDS) systems, and best practice alerts (BPAs). Regarding outcomes, out of 8 EHR-driven health coaching interventions, only 3 (38%) reported significant results. In contrast, all the included studies related to CDS and BPA applications reported some significant results with respect to improving hypertension management.

          Conclusions

          This review identified several use cases for the integration of the EHR in supporting primary care interventions to strengthen hypertension management in racial and ethnic minoritized patients in the United States. Some clinical-based interventions implementing CDS and BPA applications showed promising results. However, more research is needed on community-based interventions, particularly those focusing on patients who are Asian American, American Indian/Alaskan Native, and Native Hawaiian/Pacific Islander. The developed taxonomy comprising “identifying patients,” “driving intervention,” and “monitoring results” to classify EHR-driven approaches can be a helpful tool to facilitate this.

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          Most cited references86

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          The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

          The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement, published in 2009, was designed to help systematic reviewers transparently report why the review was done, what the authors did, and what they found. Over the past decade, advances in systematic review methodology and terminology have necessitated an update to the guideline. The PRISMA 2020 statement replaces the 2009 statement and includes new reporting guidance that reflects advances in methods to identify, select, appraise, and synthesise studies. The structure and presentation of the items have been modified to facilitate implementation. In this article, we present the PRISMA 2020 27-item checklist, an expanded checklist that details reporting recommendations for each item, the PRISMA 2020 abstract checklist, and the revised flow diagrams for original and updated reviews.
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            Risk‐of‐bias VISualization (robvis): An R package and Shiny web app for visualizing risk‐of‐bias assessments

            Despite a major increase in the range and number of software offerings now available to help researchers produce evidence syntheses, there is currently no generic tool for producing figures to display and explore the risk-of-bias assessments that routinely take place as part of systematic review. However, tools such as the R programming environment and Shiny (an R package for building interactive web apps) have made it straightforward to produce new tools to help in producing evidence syntheses. We present a new tool, robvis (Risk-Of-Bias VISualization), available as an R package and web app, which facilitates rapid production of publication-quality risk-of-bias assessment figures. We present a timeline of the tool's development and its key functionality.
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              Contribution of primary care to health systems and health.

              Evidence of the health-promoting influence of primary care has been accumulating ever since researchers have been able to distinguish primary care from other aspects of the health services delivery system. This evidence shows that primary care helps prevent illness and death, regardless of whether the care is characterized by supply of primary care physicians, a relationship with a source of primary care, or the receipt of important features of primary care. The evidence also shows that primary care (in contrast to specialty care) is associated with a more equitable distribution of health in populations, a finding that holds in both cross-national and within-national studies. The means by which primary care improves health have been identified, thus suggesting ways to improve overall health and reduce differences in health across major population subgroups.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2023
                15 September 2023
                : 25
                : e42409
                Affiliations
                [1 ] Department of Family and Preventive Medicine University of Utah Salt Lake City, UT United States
                [2 ] Community Physicians Group University of Utah Salt Lake City, UT United States
                [3 ] Utah Department of Health and Human Services Salt Lake City, UT United States
                Author notes
                Corresponding Author: Dominik Ose dominik.ose@ 123456hsc.utah.edu
                Author information
                https://orcid.org/0000-0002-5079-2152
                https://orcid.org/0000-0003-4395-2485
                https://orcid.org/0000-0003-0812-2750
                https://orcid.org/0000-0001-5130-7617
                https://orcid.org/0000-0001-5973-2722
                https://orcid.org/0000-0001-5250-3409
                https://orcid.org/0000-0002-7933-6898
                https://orcid.org/0000-0001-8714-9294
                https://orcid.org/0000-0003-0954-586X
                https://orcid.org/0000-0002-4939-8289
                https://orcid.org/0009-0004-4655-1112
                https://orcid.org/0000-0003-2243-6553
                Article
                v25i1e42409
                10.2196/42409
                10541643
                37713256
                f32dd6b1-90d3-462f-9d75-94957d23f829
                ©Dominik Ose, Emmanuel Adediran, Robert Owens, Elena Gardner, Matthew Mervis, Cindy Turner, Emily Carlson, Danielle Forbes, Caitlyn Lydia Jasumback, John Stuligross, Susan Pohl, Bernadette Kiraly. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 15.09.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 2 September 2022
                : 20 December 2022
                : 1 June 2023
                : 4 July 2023
                Categories
                Review
                Review

                Medicine
                hypertension,electronic health record (ehr),health data,ehr-driven,primary care,racial and ethnic minority groups

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