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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 (engelsk)Inngår i: Healthcare Informatics Research, ISSN 2093-3681, E-ISSN 2093-369X, Vol. 26, nr 2, s. 119-128Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Korean Society of Medical Informatics , 2020. Vol. 26, nr 2, s. 119-128
Emneord [en]
Data Mining, Health Information Exchange, Health Information Systems, Meaningful Use, Terminology as Topic
HSV kategori
Identifikatorer
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
Tilgjengelig fra: 2024-03-07 Laget: 2024-03-07 Sist oppdatert: 2024-03-07bibliografisk kontrollert

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