The Use of Technology to Support Precision Health in Nursing Science

Angela Starkweather, Cynthia S. Jacelon, Suzanne Bakken, Debra L. Barton, Annette DeVito Dabbs, Susan G. Dorsey, Barbara J. Guthrie, Margaret M. Heitkemper, Kathleen T. Hickey, Teresa J. Kelechi, Miyong T. Kim, Jenna Marquard, Shirley M. Moore, Nancy S. Redeker, Rachel F. Schiffman, Teresa M. Ward, Lynn S. Adams, Karen A. Kehl, Jeri L. Miller

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Purpose: This article outlines how current nursing research can utilize technology to advance symptom and self-management science for precision health and provides a roadmap for the development and use of technologies designed for this purpose. Approach: At the 2018 annual conference of the National Institute of Nursing Research (NINR) Research Centers, nursing and interdisciplinary scientists discussed the use of technology to support precision health in nursing research projects and programs of study. Key themes derived from the presentations and discussion were summarized to create a proposed roadmap for advancement of technologies to support health and well-being. Conclusions: Technology to support precision health must be centered on the user and designed to be desirable, feasible, and viable. The proposed roadmap is composed of five iterative steps for the development, testing, and implementation of technology-based/enhanced self-management interventions. These steps are (a) contextual inquiry, focused on the relationships among humans, and the tools and equipment used in day-to-day life; (b) value specification, translating end-user values into end-user requirements; (c) design, verifying that the technology/device can be created and developing the prototype(s); (d) operationalization, testing the intervention in a real-world setting; and (e) summative evaluation, collecting and analyzing viability metrics, including process data, to evaluate whether the technology and the intervention have the desired effect. Clinical Relevance: Interventions using technology are increasingly popular in precision health. Use of a standard multistep process for the development and testing of technology is essential.

Original languageEnglish (US)
Pages (from-to)614-623
Number of pages10
JournalJournal of Nursing Scholarship
Volume51
Issue number6
DOIs
StatePublished - Nov 1 2019
Externally publishedYes

Bibliographical note

Funding Information:
The Centers are supported by the National Institute of Nursing Research: P20 NR014126, P20 NR015320, P20 NR015331, P20 NR015339, P30 NR015326, P30 NR015335, P20 NR016575, P20 NR016599, P20 NR016605, P30 NR016585, P30 NR016587, P30 NR016579.Clinical Resources Center for Accelerating Precision Pain Self-Management, University of Connecticut. https://cappsm.nursing.uconn.edu Center for Complexity and Self-Management of Chronic Disease (CSCD), University of Michigan. http://www.socr.umich.edu/CSCD/ Center for Innovation in Sleep Self-Management, University of Washington. https://nursing.uw.edu/research/programs/sleep-research/ Center for Transdisciplinary Collaborative Research in Self-Management Science, University of Texas, Austin. http://nursing.utexas.edu/tcrss/ Northeastern Center for Technology in Support of Self-Management and Health, Northeastern University. http://www.northeastern.edu/nucare/ Omics Associated with Self-Management Interventions for Symptoms (OASIS) Center, University of Maryland, Baltimore. http://www.nursing.umaryland.edu/research/oasis/ Precision in Symptom Self-Management (PriSSM), Columbia University. http://nursing.columbia.edu/research/precision-symptom-self-management-prissm-center Self-Management Science Center at the University of Wisconsin, University of Wisconsin-Milwaukee. https://uwm.edu/nursing/about/centers-institutes/self-management/ SMART Center II, Case Western University. https://nursing.case.edu/research/centers/smart/ Symptom Self-Management Center, Medical University of South Carolina. http://academicdepartments.musc.edu/nursing/initiatives/researchoffice/ssmc.htm UManage Center for Building the Science of Self-Management, University of Massachusetts, Amherst. https://www.umass.edu/nursing/UManage-Center Yale Center for Sleep Disturbance in Acute and Chronic Conditions, Yale University. http://sleep.yale.edu/yale-center-sleep-disturbance Center for Accelerating Precision Pain Self-Management, University of Connecticut. https://cappsm.nursing.uconn.edu Center for Complexity and Self-Management of Chronic Disease (CSCD), University of Michigan. http://www.socr.umich.edu/CSCD/ Center for Innovation in Sleep Self-Management, University of Washington. https://nursing.uw.edu/research/programs/sleep-research/ Center for Transdisciplinary Collaborative Research in Self-Management Science, University of Texas, Austin. http://nursing.utexas.edu/tcrss/ Northeastern Center for Technology in Support of Self-Management and Health, Northeastern University. http://www.northeastern.edu/nucare/ Omics Associated with Self-Management Interventions for Symptoms (OASIS) Center, University of Maryland, Baltimore. http://www.nursing.umaryland.edu/research/oasis/ Precision in Symptom Self-Management (PriSSM), Columbia University. http://nursing.columbia.edu/research/precision-symptom-self-management-prissm-center Self-Management Science Center at the University of Wisconsin, University of Wisconsin-Milwaukee. https://uwm.edu/nursing/about/centers-institutes/self-management/ SMART Center II, Case Western University. https://nursing.case.edu/research/centers/smart/ Symptom Self-Management Center, Medical University of South Carolina. http://academicdepartments.musc.edu/nursing/initiatives/researchoffice/ssmc.htm UManage Center for Building the Science of Self-Management, University of Massachusetts, Amherst. https://www.umass.edu/nursing/UManage-Center Yale Center for Sleep Disturbance in Acute and Chronic Conditions, Yale University. http://sleep.yale.edu/yale-center-sleep-disturbance

Publisher Copyright:
© 2019 Sigma Theta Tau International

Keywords

  • National Institute of Nursing Research
  • nursing research
  • self-management
  • symptoms
  • technology

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