Application of the ConNECT Framework to Precision Health and Health Disparities (Record no. 85226)

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Preferred name for the person Menon, Usha
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Title Application of the ConNECT Framework to Precision Health and Health Disparities
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Date of publication, distribution, etc 2019
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Summary, etc Background <br/><br/>An emphasis on precision health (PH) has stimulated precision medicine studies to focus on the interplay of biological, behavioral, and environmental factors with disease risks, treatments, prognoses, and outcomes affecting health disparities. It is imperative, as well, that improving health equity among underserved populations remains central to the efforts and aims of PH.<br/><br/>Objectives <br/><br/>The aim if this study was to apply the transdisciplinary ConNECT Framework: A Model for Advancing Behavioral Medicine Science and Practice to Foster Health Equity to PH by integrating a population health agenda for reducing health disparities.<br/><br/>Methods <br/><br/>There are five ConNECT principles: (a) integrating context; (b) fostering a norm of inclusion; (c) ensuring equitable diffusion of innovations; (d) harnessing communication technology; and (e) prioritizing specialized training as an organizing framework to PH, including examples of how to integrate behavioral and socioecological determinants to better understand the contexts of individuals, systems, and place to design targeted treatments and interventions.<br/><br/>Results <br/><br/>We describe proactive, actionable strategies for the systematic application of ConNECT Framework principles to address health equity via the PH initiative. Context and implications for nursing research and practice are also described.<br/><br/>Discussion <br/><br/>The ConNECT Framework emphasizes that diversity inclusion is imperative for true population health benefit from PH, broadly in public health, behavioral medicine, medicine, and nursing, to equip health researchers and practitioners to account for contextual socioecologic data that can be aligned with biologic data for more population responsive and individually tailored interventions to prevent, diagnose, and treat diseases.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ashing, Kimlin
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Personal name Chang, Mei Wei
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Personal name Christy, Shannon M.
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Personal name Friberg-Felsted, Katarina
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Personal name Rivas, Virginia Gil
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Personal name Gwede, Clement K.
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Personal name Lu, Qian
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Personal name Meade, Cathy D.
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Personal name Sly, Jamila
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Personal name Wang, Monica
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Personal name Yanez, Betina
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Personal name Yeary, Karen
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Personal name Yi, Jean C.
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Personal name Alcaraz, Kassandra I.
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Title Nursing Research
Main entry heading March/April 2019 - Volume 68 - Issue 2 , pages 99 - 109
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Item type JOURNAL ARTICLE
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          COLLEGE LIBRARY COLLEGE LIBRARY PERIODICALS 2023-04-26 2023-04-26 2023-04-26 JOURNAL ARTICLE