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Qualitative and Quantitative Analysis of Definitions of e-Health and m-Health
Department of Communication, Faculty of Letters and Humanities, University of Douala, Douala, Cameroon; EitiCol Networks, Jönköping, Sweden.ORCID iD: 0000-0002-5394-0173
EitiCol Networks, Jönköping, Sweden.
2020 (English)In: Healthcare Informatics Research, ISSN 2093-3681, E-ISSN 2093-369X, Vol. 26, no 2, p. 119-128Article in journal (Refereed) Published
Abstract [en]

OBJECTIVES: Skills to employ nursing informatics to promote the health of individuals is of such importance that it is considered a core competence. Although investments are made to increase the use of e-health, there is no full understanding of the usability of e-health for healthcare. This paper presents a current picture of how e-health and m-health are defined and used as well as the effects their usage may have on the intended target group.

METHODS: Peer-reviewed open-access papers and grey literature that define e-health and m-health from PubMed, SpringerLink, and Google.com were randomized. A mixed method design with an inductive approach was employed. Open-source software were used for analysis.

RESULTS: The overview includes 30 definitions of e-health and m-health, respectively. The definitions were thematised into 14 narrative themes. The results of the study, and primarily a three-level model, provide an understanding of how different types of e-health and m-health can be put into practice, and the effects or consequences of using them, which may be either positive or negative.

CONCLUSIONS: Mobility and flexibility is important for both m-health and e-health. Five keywords that characterize the definitions of e-health and m-health are "health", "mobile", "use", "information", and "technology". E-health or m-health cannot replace human actors because e-health and m-health consist of social and material interactions. Using e-health and m-health is, thus, about developing healthcare without compromising native relics.

Place, publisher, year, edition, pages
Korean Society of Medical Informatics , 2020. Vol. 26, no 2, p. 119-128
Keywords [en]
Data Mining, Health Information Exchange, Health Information Systems, Meaningful Use, Terminology as Topic
National Category
Computer and Information Sciences Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
URN: urn:nbn:se:hj:diva-63761DOI: 10.4258/hir.2020.26.2.119ISI: 000536853500006PubMedID: 32547809Scopus ID: 2-s2.0-85086867826OAI: oai:DiVA.org:hj-63761DiVA, id: diva2:1843058
Available from: 2024-03-07 Created: 2024-03-07 Last updated: 2024-03-07Bibliographically approved

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Hallberg, David

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