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. 2019 Jul-Aug;67(4):462-475.
doi: 10.1016/j.outlook.2019.01.003. Epub 2019 Jan 18.

Precision health: Advancing symptom and self-management science

Affiliations

Precision health: Advancing symptom and self-management science

Kathleen T Hickey et al. Nurs Outlook. 2019 Jul-Aug.

Erratum in

  • Corrigendum to Precision health: Advancing symptom and self-management science.
    Hickey KT, Bakken S, Byrne MW, Bailey DCE, Demiris G, Docherty SL, Dorsey SG, Guthrie BJ, Heitkemper MM, Jacelon CS, Kelechi TJ, Moore SM, Redeker NS, Renn CL, Resnick B, Starkweather A, Thompson H, Ward TM, McCloskey DJ, Austin JK, Grady PA. Hickey KT, et al. Nurs Outlook. 2020 Mar-Apr;68(2):139-140. doi: 10.1016/j.outlook.2019.11.003. Epub 2020 Feb 8. Nurs Outlook. 2020. PMID: 32046859 No abstract available.

Abstract

Background: Precision health considers individual lifestyle, genetics, behaviors, and environment context and facilitates interventions aimed at helping individuals achieve well-being and optimal health.

Purpose: To present the Nursing Science Precision Health (NSPH) Model and describe the integration of precision health concepts within the domains of symptom and self-management science as reflected in the National Institute of Nursing Research P30 Centers of Excellence and P20 Exploratory Centers.

Methods: Center members developed the NSPH Model and the manuscript based on presentations and discussions at the annual NINR Center Directors Meeting and in follow-up telephone meetings.

Discussion: The NSPH Model comprises four precision components (measurement; characterization of phenotype including lifestyle and environment; characterization of genotype and other biomarkers; and intervention target discovery, design, and delivery) that are underpinned by an information and data science infrastructure.

Conclusion: Nurse scientist leadership is necessary to realize the vision of precision health as reflected in the NSPH Model.

Keywords: Air self-management; Major nursing; Precision health; data science; informatics; symptom science.

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Figures

Figure 1.
Figure 1.
The Nursing Science Precision Health Model (NSPH) Applied to Stages of NIH Symptom Science Model. The four precision components in the boxes with arrows and the information and data science infrastructure comprise the NSPH. These components can be applied to different phenomena as illustrated by the example of the stages of the NIH Science Model.
Figure 2.
Figure 2.
Translational Science: Bench to population. Stages of translation (T1–T4) are represented in each of the boxes from the bench (T1) to population health (T4). The accuracy of identifying the mechanisms of a symptom or behavior has implications for the study of self-management in later stages of translation. Boxes in the figure reflect that each stage (T1–T4) of the translational process may inform the need for greater mechanistic understanding of the symptom or behavior, or increased methodological accuracy across research settings. Adapted from Kon, A. A. (1988). The clinical and translational science award (CTSA)(consortium and the translational research model. American Journal of Bioethics, 8(3), 58-W3.

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