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What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants
BACKGROUND: Despite rapid growth in eHealth research, there remains a lack of consistency in defining and using terms related to eHealth. More widely cited definitions provide broad understanding of eHealth but lack sufficient conceptual clarity to operationalize eHealth and enable its implementatio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676031/ https://www.ncbi.nlm.nih.gov/pubmed/29066429 http://dx.doi.org/10.2196/jmir.8106 |
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author | Shaw, Tim McGregor, Deborah Brunner, Melissa Keep, Melanie Janssen, Anna Barnet, Stewart |
author_facet | Shaw, Tim McGregor, Deborah Brunner, Melissa Keep, Melanie Janssen, Anna Barnet, Stewart |
author_sort | Shaw, Tim |
collection | PubMed |
description | BACKGROUND: Despite rapid growth in eHealth research, there remains a lack of consistency in defining and using terms related to eHealth. More widely cited definitions provide broad understanding of eHealth but lack sufficient conceptual clarity to operationalize eHealth and enable its implementation in health care practice, research, education, and policy. Definitions that are more detailed are often context or discipline specific, limiting ease of translation of these definitions across the breadth of eHealth perspectives and situations. A conceptual model of eHealth that adequately captures its complexity and potential overlaps is required. This model must also be sufficiently detailed to enable eHealth operationalization and hypothesis testing. OBJECTIVE: This study aimed to develop a conceptual practice-based model of eHealth to support health professionals in applying eHealth to their particular professional or discipline contexts. METHODS: We conducted semistructured interviews with key informants (N=25) from organizations involved in health care delivery, research, education, practice, governance, and policy to explore their perspectives on and experiences with eHealth. We used purposeful sampling for maximum diversity. Interviews were coded and thematically analyzed for emergent domains. RESULTS: Thematic analyses revealed 3 prominent but overlapping domains of eHealth: (1) health in our hands (using eHealth technologies to monitor, track, and inform health), (2) interacting for health (using digital technologies to enable health communication among practitioners and between health professionals and clients or patients), and (3) data enabling health (collecting, managing, and using health data). These domains formed a model of eHealth that addresses the need for clear definitions and a taxonomy of eHealth while acknowledging the fluidity of this area and the strengths of initiatives that span multiple eHealth domains. CONCLUSIONS: This model extends current understanding of eHealth by providing clearly defined domains of eHealth while highlighting the benefits of using digital technologies in ways that cross several domains. It provides the depth of perspectives and examples of eHealth use that are lacking in previous research. On the basis of this model, we suggest that eHealth initiatives that are most impactful would include elements from all 3 domains. |
format | Online Article Text |
id | pubmed-5676031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-56760312017-11-14 What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants Shaw, Tim McGregor, Deborah Brunner, Melissa Keep, Melanie Janssen, Anna Barnet, Stewart J Med Internet Res Original Paper BACKGROUND: Despite rapid growth in eHealth research, there remains a lack of consistency in defining and using terms related to eHealth. More widely cited definitions provide broad understanding of eHealth but lack sufficient conceptual clarity to operationalize eHealth and enable its implementation in health care practice, research, education, and policy. Definitions that are more detailed are often context or discipline specific, limiting ease of translation of these definitions across the breadth of eHealth perspectives and situations. A conceptual model of eHealth that adequately captures its complexity and potential overlaps is required. This model must also be sufficiently detailed to enable eHealth operationalization and hypothesis testing. OBJECTIVE: This study aimed to develop a conceptual practice-based model of eHealth to support health professionals in applying eHealth to their particular professional or discipline contexts. METHODS: We conducted semistructured interviews with key informants (N=25) from organizations involved in health care delivery, research, education, practice, governance, and policy to explore their perspectives on and experiences with eHealth. We used purposeful sampling for maximum diversity. Interviews were coded and thematically analyzed for emergent domains. RESULTS: Thematic analyses revealed 3 prominent but overlapping domains of eHealth: (1) health in our hands (using eHealth technologies to monitor, track, and inform health), (2) interacting for health (using digital technologies to enable health communication among practitioners and between health professionals and clients or patients), and (3) data enabling health (collecting, managing, and using health data). These domains formed a model of eHealth that addresses the need for clear definitions and a taxonomy of eHealth while acknowledging the fluidity of this area and the strengths of initiatives that span multiple eHealth domains. CONCLUSIONS: This model extends current understanding of eHealth by providing clearly defined domains of eHealth while highlighting the benefits of using digital technologies in ways that cross several domains. It provides the depth of perspectives and examples of eHealth use that are lacking in previous research. On the basis of this model, we suggest that eHealth initiatives that are most impactful would include elements from all 3 domains. JMIR Publications 2017-10-24 /pmc/articles/PMC5676031/ /pubmed/29066429 http://dx.doi.org/10.2196/jmir.8106 Text en ©Tim Shaw, Deborah McGregor, Melissa Brunner, Melanie Keep, Anna Janssen, Stewart Barnet. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.10.2017. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Shaw, Tim McGregor, Deborah Brunner, Melissa Keep, Melanie Janssen, Anna Barnet, Stewart What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants |
title | What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants |
title_full | What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants |
title_fullStr | What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants |
title_full_unstemmed | What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants |
title_short | What is eHealth (6)? Development of a Conceptual Model for eHealth: Qualitative Study with Key Informants |
title_sort | what is ehealth (6)? development of a conceptual model for ehealth: qualitative study with key informants |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676031/ https://www.ncbi.nlm.nih.gov/pubmed/29066429 http://dx.doi.org/10.2196/jmir.8106 |
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