The Use of Technology to Support Precision Health in Nursing Science Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1111/jnu.12518
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.
Related Topics
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1111/jnu.12518
- https://sigmapubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jnu.12518
- OA Status
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- Cited By
- 25
- References
- 22
- Related Works
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- OpenAlex ID
- https://openalex.org/W2977899950
Raw OpenAlex JSON
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https://openalex.org/W2977899950Canonical identifier for this work in OpenAlex
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https://doi.org/10.1111/jnu.12518Digital Object Identifier
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The Use of Technology to Support Precision Health in Nursing ScienceWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-09-30Full publication date if available
- Authors
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Angela Starkweather, Cynthia S. Jacelon, Suzanne Bakken, Debra L. Barton, Annette DeVito Dabbs, Susan G. Dorsey, Barbara Guthrie, Margaret Heitkemper, Kathleen T. Hickey, Teresa J. Kelechi, Miyong T. Kim, Jenna L. Marquard, Shirley M. Moore, Nancy S. Redeker, Rachel F. Schiffman, Teresa M. Ward, Lynn S. Adams, Karen A. Kehl, Jeri L. MillerList of authors in order
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https://doi.org/10.1111/jnu.12518Publisher landing page
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https://sigmapubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jnu.12518Direct link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://sigmapubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jnu.12518Direct OA link when available
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Nursing, Nursing science, Psychology, MedicineTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 1, 2024: 4, 2022: 8, 2021: 8, 2020: 4Per-year citation counts (last 5 years)
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22Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5033126402 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 19 |
| corresponding_institution_ids | https://openalex.org/I140172145 |
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| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |