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

doi:10.1111/jnu.12518

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 journal › Article › peer-review

15 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 language	English (US)
Pages (from-to)	614-623
Number of pages	10
Journal	Journal of Nursing Scholarship
Volume	51
Issue number	6
DOIs	https://doi.org/10.1111/jnu.12518
State	Published - Nov 1 2019
Externally published	Yes

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

Publisher link

10.1111/jnu.12518

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Starkweather, A., Jacelon, C. S., Bakken, S., Barton, D. L., DeVito Dabbs, A., Dorsey, S. G., Guthrie, B. J., Heitkemper, M. M., Hickey, K. T., Kelechi, T. J., Kim, M. T., Marquard, J., Moore, S. M., Redeker, N. S., Schiffman, R. F., Ward, T. M., Adams, L. S., Kehl, K. A., & Miller, J. L. (2019). The Use of Technology to Support Precision Health in Nursing Science. Journal of Nursing Scholarship, 51(6), 614-623. https://doi.org/10.1111/jnu.12518

Starkweather, A, Jacelon, CS, Bakken, S, Barton, DL, DeVito Dabbs, A, Dorsey, SG, Guthrie, BJ, Heitkemper, MM, Hickey, KT, Kelechi, TJ, Kim, MT, Marquard, J, Moore, SM, Redeker, NS, Schiffman, RF, Ward, TM, Adams, LS, Kehl, KA & Miller, JL 2019, 'The Use of Technology to Support Precision Health in Nursing Science', Journal of Nursing Scholarship, vol. 51, no. 6, pp. 614-623. https://doi.org/10.1111/jnu.12518

@article{4563aabffae4432c87f8b62533629d42,

title = "The Use of Technology to Support Precision Health in Nursing Science",

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.",

keywords = "National Institute of Nursing Research, nursing research, self-management, symptoms, technology",

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

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: {\textcopyright} 2019 Sigma Theta Tau International",

year = "2019",

month = nov,

day = "1",

doi = "10.1111/jnu.12518",

language = "English (US)",

volume = "51",

pages = "614--623",

journal = "Journal of Nursing Scholarship",

issn = "1527-6546",

publisher = "Wiley-Blackwell",

number = "6",

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TY - JOUR

T1 - The Use of Technology to Support Precision Health in Nursing Science

AU - Starkweather, Angela

AU - Jacelon, Cynthia S.

AU - Bakken, Suzanne

AU - Barton, Debra L.

AU - DeVito Dabbs, Annette

AU - Dorsey, Susan G.

AU - Guthrie, Barbara J.

AU - Heitkemper, Margaret M.

AU - Hickey, Kathleen T.

AU - Kelechi, Teresa J.

AU - Kim, Miyong T.

AU - Marquard, Jenna

AU - Moore, Shirley M.

AU - Redeker, Nancy S.

AU - Schiffman, Rachel F.

AU - Ward, Teresa M.

AU - Adams, Lynn S.

AU - Kehl, Karen A.

AU - Miller, Jeri L.

N1 - 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

PY - 2019/11/1

Y1 - 2019/11/1

N2 - 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.

AB - 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.

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The Use of Technology to Support Precision Health in Nursing Science

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