Mary Regan1, Mary B Engler2, Bernice Coleman3, Sandra Daack-Hirsch4, Kathleen A Calzone5. 1. Chi, Associate Professor, University of Maryland School of Nursing, Baltimore, MD, USA. 2. Professor, Uniformed Sciences University of the Health Sciences, Daniel K. Inouye Graduate School of Nursing, Bethesda, MD, USA; Former Chief, Vascular Biology Unit, Training Director, National Institutes of Health, NINR, Division of Intramural Research, Bethesda, MD, USA; Professor Emeritus, Director of Cardiovascular and Genomics Graduate Programs, University of California, San Francisco, School of Nursing, Department of Physiological Nursing, San Francisco, CA, USA. 3. Delta Mu, Assistant Professor, Biomedical Sciences, Nurse Researcher, Nurse Practitioner, Associate Director, Nursing Research Department, Cedars Sinai Medical Center, Los Angeles, CA, USA. 4. Gamma, Associate Professor, PhD Program Director, The University of Iowa College of Nursing, Iowa City, IA, USA. 5. Xi, Research Geneticist, National Institutes of Health, National Cancer Institute, Center for Cancer Research, Genetics Branch, Bethesda, MD, USA.
Abstract
PURPOSE: To establish the knowledge needed to integrate the multiple branches of omics into nursing research to accelerate achieving the research recommendations of the Genomic Nursing Science Blueprint. METHODS: The creation of the Genomic Knowledge Matrix occurred in three phases. In phase 1, the Omics Nursing Science and Education Network (ONSEN) Education Workgroup completed an evidence, bioinformatics, and technology review to inform the components of the Matrix. The ONSEN Advisory Panel then reviewed and integrated revisions. Phase 3 solicited targeted public comment focused on education and research experts, and applicable revisions were made. FINDINGS: The Genomic Knowledge Matrix establishes the following content areas: cellular and molecular biology, system physiology, microbiology, and translational bioinformatics as the minimum required preparation for nurse scientists to understand omics and to integrate this knowledge into research. The Matrix also establishes levels of understanding needed to function based on the role of the nurse scientist. CONCLUSIONS: The Genomic Knowledge Matrix addresses knowledge important for nurse scientists to integrate genomics into their research. Building on prior recommendations and existing genomic competencies, the Matrix was designed to present key knowledge elements critical to understand omics that underpin health and disease. Knowledge depth varies based on the research role. CLINICAL RELEVANCE: The Genomic Knowledge Matrix provides the vital guidance for training nurse scientists in the integration of genomics. The flexibility of the Matrix also provides guidance to inform fundamental genomic content needed in core science content in undergraduate and graduate level nursing curricula. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.
PURPOSE: To establish the knowledge needed to integrate the multiple branches of omics into nursing research to accelerate achieving the research recommendations of the Genomic Nursing Science Blueprint. METHODS: The creation of the Genomic Knowledge Matrix occurred in three phases. In phase 1, the Omics Nursing Science and Education Network (ONSEN) Education Workgroup completed an evidence, bioinformatics, and technology review to inform the components of the Matrix. The ONSEN Advisory Panel then reviewed and integrated revisions. Phase 3 solicited targeted public comment focused on education and research experts, and applicable revisions were made. FINDINGS: The Genomic Knowledge Matrix establishes the following content areas: cellular and molecular biology, system physiology, microbiology, and translational bioinformatics as the minimum required preparation for nurse scientists to understand omics and to integrate this knowledge into research. The Matrix also establishes levels of understanding needed to function based on the role of the nurse scientist. CONCLUSIONS: The Genomic Knowledge Matrix addresses knowledge important for nurse scientists to integrate genomics into their research. Building on prior recommendations and existing genomic competencies, the Matrix was designed to present key knowledge elements critical to understand omics that underpin health and disease. Knowledge depth varies based on the research role. CLINICAL RELEVANCE: The Genomic Knowledge Matrix provides the vital guidance for training nurse scientists in the integration of genomics. The flexibility of the Matrix also provides guidance to inform fundamental genomic content needed in core science content in undergraduate and graduate level nursing curricula. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.
Entities:
Keywords:
Competency; education; genetics; genomics; knowledge; nursing; research
Authors: Susan J Henly; Donna O McCarthy; Jean F Wyman; Margaret M Heitkemper; Nancy S Redeker; Marita G Titler; Ann Marie McCarthy; Patricia W Stone; Shirley M Moore; Anna C Alt-White; Yvette P Conley; Jacqueline Dunbar-Jacob Journal: Nurs Outlook Date: 2015-04-28 Impact factor: 3.250
Authors: Kathleen A Calzone; Jean Jenkins; Nick Nicol; Heather Skirton; W Gregory Feero; Eric D Green Journal: J Nurs Scholarsh Date: 2013-01-31 Impact factor: 3.176
Authors: Yvette P Conley; Margaret Heitkemper; Donna McCarthy; Cindy M Anderson; Elizabeth J Corwin; Sandra Daack-Hirsch; Susan G Dorsey; Katherine E Gregory; Maureen W Groer; Susan J Henly; Timothy Landers; Debra E Lyon; Jacquelyn Y Taylor; Joachim Voss Journal: Nurs Outlook Date: 2015-06-12 Impact factor: 3.250
Authors: Kathleen A Calzone; Jean Jenkins; Alexis D Bakos; Ann K Cashion; Nancy Donaldson; W Gregory Feero; Suzanne Feetham; Patricia A Grady; Ada Sue Hinshaw; Ann R Knebel; Nellie Robinson; Mary E Ropka; Diane Seibert; Kathleen R Stevens; Lois A Tully; Jo Ann Webb Journal: J Nurs Scholarsh Date: 2013-01-31 Impact factor: 3.176
Authors: Emma Kurnat-Thoma; Mei R Fu; Wendy A Henderson; Joachim G Voss; Marilyn J Hammer; Janet K Williams; Kathleen Calzone; Yvette P Conley; Angela Starkweather; Michael T Weaver; S Pamela K Shiao; Bernice Coleman Journal: Nurs Outlook Date: 2021-01-22 Impact factor: 3.250
Authors: Andrew A Dwyer; Margaret G Au; Neil Smith; Lacey Plummer; Margaret F Lippincott; Ravikumar Balasubramanian; Stephanie B Seminara Journal: J Genet Couns Date: 2020-10-24 Impact factor: 2.537
Authors: Mei R Fu; Emma Kurnat-Thoma; Angela Starkweather; Wendy A Henderson; Ann K Cashion; Janet K Williams; Maria C Katapodi; Karin Reuter-Rice; Kathleen T Hickey; Veronica Barcelona de Mendoza; Kathleen Calzone; Yvette P Conley; Cindy M Anderson; Debra E Lyon; Michael T Weaver; Pamela K Shiao; Rose E Constantino; Shu-Fen Wung; Marilyn J Hammer; Joachim G Voss; Bernice Coleman Journal: Int J Nurs Sci Date: 2019-12-24