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Establishing the Genomic Knowledge Matrix for Nursing Science.

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.

SUBMITTER: Regan M

PROVIDER: S-EPMC6329656 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Establishing the Genomic Knowledge Matrix for Nursing Science.

Regan Mary M Engler Mary B MB Coleman Bernice B Daack-Hirsch Sandra S Calzone Kathleen A KA

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing 20181001 1

<h4>Purpose</h4>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.<h4>Methods</h4>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 Advi ...[more]

PMID: 30272391

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Project description:PURPOSE:This article reports on recommendations arising from an invitational workshop series held at the National Institutes of Health for the purposes of identifying critical genomics problems important to the health of the public that can be addressed through nursing science. The overall purpose of the Genomic Nursing State of the Science Initiative is to establish a nursing research blueprint based on gaps in the evidence and expert evaluation of the current state of the science and through public comment. ORGANIZING CONSTRUCTS:A Genomic Nursing State of the Science Advisory Panel was convened in 2012 to develop the nursing research blueprint. The Advisory Panel, which met via two webinars and two in-person meetings, considered existing evidence from evidence reviews, testimony from key stakeholder groups, presentations from experts in research synthesis, and public comment. FINDINGS:The genomic nursing science blueprint arising from the Genomic Nursing State of Science Advisory Panel focuses on biologic plausibility studies as well as interventions likely to improve a variety of outcomes (e.g., clinical, economic, environmental). It also includes all care settings and diverse populations. The focus is on (a) the client, defined as person, family, community, or population; (b) the context, targeting informatics support systems, capacity building, education, and environmental influences; and (c) cross-cutting themes. It was agreed that building capacity to measure the impact of nursing actions on costs, quality, and outcomes of patient care is a strategic and scientific priority if findings are to be synthesized and aggregated to inform practice and policy. CONCLUSIONS:The genomic nursing science blueprint provides the framework for furthering genomic nursing science to improve health outcomes. This blueprint is an independent recommendation of the Advisory Panel with input from the public and is not a policy statement of the National Institutes of Health or the federal government. CLINICAL RELEVANCE:This genomic nursing science blueprint targets research to build the evidence base to inform integration of genomics into nursing practice and regulation (such as nursing licensure requirements, institutional accreditation, and academic nursing school accreditation).

Project description:BackgroundSeminal reports, based on recommendations by educators, scientists, and in collaboration with students, have called for undergraduate curricula to engage students in some of the same practices as scientists-one of which is communicating science with a general, non-scientific audience (SciComm). Unfortunately, very little research has focused on helping students develop these skills. An important early step in creating effective and efficient curricula is understanding what baseline skills students have prior to instruction. Here, we used the Essential Elements for Effective Science Communication (EEES) framework to survey the SciComm skills of students in an environmental science course in which they had little SciComm training.ResultsOur analyses revealed that, despite not being given the framework, students included several of the 13 elements, especially those which were explicitly asked for in the assignment instructions. Students commonly targeted broad audiences composed of interested adults, aimed to increase the knowledge and awareness of their audience, and planned and executed remote projects using print on social media. Additionally, students demonstrated flexibility in their skills by slightly differing their choices depending on the context of the assignment, such as creating more engaging content than they had planned for.ConclusionsThe students exhibited several key baseline skills, even though they had minimal training on the best practices of SciComm; however, more support is required to help students become better communicators, and more work in different contexts may be beneficial to acquire additional perspectives on SciComm skills among a variety of science students. The few elements that were not well highlighted in the students' projects may not have been as intuitive to novice communicators. Thus, we provide recommendations for how educators can help their undergraduate science students develop valuable, prescribed SciComm skills. Some of these recommendations include helping students determine the right audience for their communication project, providing opportunities for students to try multiple media types, determining the type of language that is appropriate for the audience, and encouraging students to aim for a mix of communication objectives. With this guidance, educators can better prepare their students to become a more open and communicative generation of scientists and citizens.Supplementary informationThe online version contains supplementary material available at 10.1186/s40594-021-00304-0.

Project description:Cardiac misconceptions are common among healthcare professionals. The development of professional knowledge is considered an essential component of nursing education. Nurses, regardless of their grade, skills, and experience, should be updated with information so as to be able to rectify their misconceptions, as these could affect patient health outcomes. As the literature evaluating the cardiac knowledge and misconceptions of nursing students is sparse, a study of the subject seems warranted.A cross-sectional sample survey was used to study the cardiac knowledge and cardiac misconceptions of nursing students in Hong Kong. The study sample included 385 senior nursing students from three universities. Their level of knowledge of cardiac disease was assessed using the modified Coronary Heart Disease Knowledge Test. The York Cardiac Beliefs Questionnaire (YCBQv1) was used to examine cardiac misconceptions.The scores for the nursing students' level of knowledge were diverse. Their mean score in the Cardiac Knowledge Test was 12.27 out of 18 (SD 2.38), with a range of 2-17. For cardiac misconceptions, their mean score in the YCBQv1 was 6.98 out of 20 (SD 2.84), with a range of 0-14. A negative correlation, r = -0.33 was found among students with more knowledge and fewer misconceptions. (p < 0.001). The Chi-square tests found some associations between the students' experiences of caring for cardiac patients and misconceptions about stress and physiology.The results of our analyses indicate a diversity in levels of knowledge among the nursing students. Students with higher scores in cardiac knowledge did not necessarily have fewer misconceptions. There were associations between the students' misbeliefs and their caregiving experiences with cardiac patients. This study presents a framework for designing the contents of cardiac nursing programmes and is a starting point for promoting research on misconceptions held by undergraduate nursing students. A new paradigm of teaching should include inputs from both perspectives to help students to make critical use of theoretical knowledge to rectify their misconceptions and pursue excellence in the working world.

Project description:Healthcare in general, and surgery/interventional care in particular, is evolving through rapid advances in technology and increasing complexity of care with the goal of maximizing quality and value of care. While innovations in diagnostic and therapeutic technologies have driven past improvements in quality of surgical care, future transformation in care will be enabled by data. Conventional methodologies, such as registry studies, are limited in their scope for discovery and research, extent and complexity of data, breadth of analytic techniques, and translation or integration of research findings into patient care. We foresee the emergence of Surgical/Interventional Data Science (SDS) as a key element to addressing these limitations and creating a sustainable path toward evidence-based improvement of interventional healthcare pathways. SDS will create tools to measure, model and quantify the pathways or processes within the context of patient health states or outcomes, and use information gained to inform healthcare decisions, guidelines, best practices, policy, and training, thereby improving the safety and quality of healthcare and its value. Data is pervasive throughout the surgical care pathway; thus, SDS can impact various aspects of care including prevention, diagnosis, intervention, or post-operative recovery. Existing literature already provides preliminary results suggesting how a data science approach to surgical decision-making could more accurately predict severe complications using complex data from pre-, intra-, and post-operative contexts, how it could support intra-operative decision-making using both existing knowledge and continuous data streams throughout the surgical care pathway, and how it could enable effective collaboration between human care providers and intelligent technologies. In addition, SDS is poised to play a central role in surgical education, for example, through objective assessments, automated virtual coaching, and robot-assisted active learning of surgical skill. However, the potential for transforming surgical care and training through SDS may only be realized through a cultural shift that not only institutionalizes technology to seamlessly capture data but also assimilates individuals with expertise in data science into clinical research teams. Furthermore, collaboration with industry partners from the inception of the discovery process promotes optimal design of data products as well as their efficient translation and commercialization. As surgery continues to evolve through advances in technology that enhance delivery of care, SDS represents a new knowledge domain to engineer surgical care of the future.

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Establishing the Genomic Knowledge Matrix for Nursing Science.

Publications

Establishing the Genomic Knowledge Matrix for Nursing Science.

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