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      Leveraging Electronic Health Record Technology and Team Care to Address Medication Adherence: Protocol for a Cluster Randomized Controlled Trial

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          Abstract

          Background

          Low medication adherence is a common cause of high blood pressure but is often unrecognized in clinical practice. Electronic data linkages between electronic health records (EHRs) and pharmacies offer the opportunity to identify low medication adherence, which can be used for interventions at the point of care. We developed a multicomponent intervention that uses linked EHR and pharmacy data to automatically identify patients with elevated blood pressure and low medication adherence. The intervention then combines team-based care with EHR-based workflows to address medication nonadherence.

          Objective

          This study aims to describe the design of the Leveraging EHR Technology and Team Care to Address Medication Adherence (TEAMLET) trial, which tests the effectiveness of a multicomponent intervention that leverages EHR-based data and team-based care on medication adherence among patients with hypertension.

          Methods

          TEAMLET is a pragmatic, cluster randomized controlled trial in which 10 primary care practices will be randomized 1:1 to the multicomponent intervention or usual care. We will include all patients with hypertension and low medication adherence who are seen at enrolled practices. The primary outcome is medication adherence, as measured by the proportion of days covered, and the secondary outcome is clinic systolic blood pressure. We will also assess intervention implementation, including adoption, acceptability, fidelity, cost, and sustainability.

          Results

          As of May 2023, we have randomized 10 primary care practices into the study, with 5 practices assigned to each arm of the trial. The enrollment for the study commenced on October 5, 2022, and the trial is currently ongoing. We anticipate patient recruitment to go through the fall of 2023 and the primary outcomes to be assessed in the fall of 2024.

          Conclusions

          The TEAMLET trial will evaluate the effectiveness of a multicomponent intervention that leverages EHR-based data and team-based care on medication adherence. If successful, the intervention could offer a scalable approach to address inadequate blood pressure control among millions of patients with hypertension.

          Trial Registration

          ClinicalTrials.gov NCT05349422; https://clinicaltrials.gov/ct2/show/NCT05349422

          International Registered Report Identifier (IRRID)

          DERR1-10.2196/47930

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          Most cited references40

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          Using thematic analysis in psychology

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            2018 ESC/ESH Guidelines for the management of arterial hypertension

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              Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda

              An unresolved issue in the field of implementation research is how to conceptualize and evaluate successful implementation. This paper advances the concept of “implementation outcomes” distinct from service system and clinical treatment outcomes. This paper proposes a heuristic, working “taxonomy” of eight conceptually distinct implementation outcomes—acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability—along with their nominal definitions. We propose a two-pronged agenda for research on implementation outcomes. Conceptualizing and measuring implementation outcomes will advance understanding of implementation processes, enhance efficiency in implementation research, and pave the way for studies of the comparative effectiveness of implementation strategies.
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                Author and article information

                Contributors
                Journal
                JMIR Res Protoc
                JMIR Res Protoc
                ResProt
                JMIR Research Protocols
                JMIR Publications (Toronto, Canada )
                1929-0748
                2023
                7 July 2023
                : 12
                : e47930
                Affiliations
                [1 ] Department of Population Health NYU Grossman School of Medicine New York, NY United States
                [2 ] Department of Medicine NYU Grossman School of Medicine New York, NY United States
                [3 ] Medical Center Information Technology NYU Langone Health New York, NY United States
                Author notes
                Corresponding Author: Saul Blecker saul.blecker@ 123456nyulangone.org
                Author information
                https://orcid.org/0000-0003-4460-1046
                https://orcid.org/0000-0003-4905-5136
                https://orcid.org/0000-0001-8038-307X
                https://orcid.org/0000-0002-0816-6844
                https://orcid.org/0000-0002-0665-5572
                https://orcid.org/0000-0002-8812-1565
                https://orcid.org/0009-0000-6737-6043
                https://orcid.org/0009-0007-6993-8186
                https://orcid.org/0000-0002-2099-0852
                Article
                v12i1e47930
                10.2196/47930
                10362494
                37418304
                e9db3189-269e-4845-b6b1-ca59a0d96ef2
                ©Saul Blecker, Antoinette Schoenthaler, Tiffany Rose Martinez, Hayley M Belli, Yunan Zhao, Christina Wong, Cassidy Fitchett, Harris R Bearnot, Devin Mann. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 07.07.2023.

                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 JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.

                History
                : 5 April 2023
                : 24 April 2023
                : 2 June 2023
                : 5 June 2023
                Categories
                Protocol
                Protocol

                medication adherence,hypertension,clinical decision support,proportion of days covered,ehr,electronic health record,technology,adherence,primary care

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