Kathleen T Hickey1, Suzanne Bakken2, Mary W Byrne3, Donald Chip E Bailey4, George Demiris5, Sharron L Docherty4, Susan G Dorsey6, Barbara J Guthrie7, Margaret M Heitkemper8, Cynthia S Jacelon9, Teresa J Kelechi10, Shirley M Moore11, Nancy S Redeker12, Cynthia L Renn13, Barbara Resnick14, Angela Starkweather15, Hilaire Thompson16, Teresa M Ward16, Donna Jo McCloskey17, Joan K Austin18, Patricia A Grady17. 1. Cardiac Electrophysiology, Columbia University School of Nursing, Columbia University Medical Center, New York, NY. 2. School of Nursing and Department of Biomedical Informatics, Columbia University, New York, NY. Electronic address: sbh22@cumc.columbia.edu. 3. Department of Anesthesiology, Columbia University School of Nursing, Columbia University College of Physicians and Surgeons, New York, NY; Center for Children and Families, Columbia University School of Nursing, Columbia University College of Physicians and Surgeons, New York, NY. 4. Duke University School of Nursing, Durham, NC. 5. University of Pennsylvania, School of Nursing, Philadelphia, PA. 6. Department of Pain and Translational Symptom Science, School of Medicine, University of Maryland Baltimore, Baltimore, MD; Department of Anesthesiology, School of Medicine, University of Maryland Baltimore, Baltimore, MD. 7. Bouve College of Health Sciences, Northeastern University School of Nursing, Boston, MA. 8. Department of Biobehavioral Nursing and Health Informatics, University of Washington School of Nursing, Seattle, WA. 9. University of Massachusetts Amherst College of Nursing, Amherst, MA. 10. Medical University of South Carolina, College of Nursing, Charleston, SC. 11. Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH. 12. Section of Pulmonary, Critical Care and Sleep Medicine, Yale University, New Haven, CT. 13. Department of Pain and Translational Symptom Science, University of Maryland Baltimore, Baltimore, MD. 14. Organizational Systems and Adult Health Nursing Department, University of Maryland Baltimore, Baltimore, MD. 15. University of Connecticut School of Nursing, Storrs, CT. 16. University of Washington School of Nursing, Seattle, WA. 17. National Institute of Nursing Research, Bethesda, MD. 18. National Institute of Nursing Research, Bethesda, MD; Indiana University School of Nursing, Bloomington, IN.
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.
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.
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