Literature DB >> 28241934

An ontology of and roadmap for mHealth research.

Joshua D Cameron1, Arkalgud Ramaprasad2, Thant Syn3.   

Abstract

PURPOSE: Mobile health or mHealth research has been growing exponentially in recent years. However, the research on mHealth has been ad-hoc and selective without a clear definition of the mHealth domain. Without a roadmap for research we may not realize the full potential of mHealth. In this paper, we present an ontological framework to define the mHealth domain and illuminate a roadmap.
METHODS: We present an ontology of mHealth. The ontology is developed by systematically deconstructing the domain into its primary dimensions and elements. We map the extent research on mHealth in 2014 onto the ontology and highlight the bright, light, and blind/blank spots which represent the emphasis of mHealth research.
FINDINGS: The emphases of mHealth research in 2014 are very uneven. There are a few bright spots and many light spots. The research predominantly focuses on individuals' use of mobile devices and applications to capture or obtain health-related data mostly to improve quality of care through mobile intervention.
CONCLUSIONS: We argue that the emphases can be balanced in the roadmap for mHealth research. The ontological mapping plays an integral role in developing and maintaining the roadmap which can be updated periodically to continuously assess and guide mHealth research.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Mobile health; Ontology; Roadmap; mHealth

Mesh:

Year:  2017        PMID: 28241934     DOI: 10.1016/j.ijmedinf.2017.01.007

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  14 in total

1.  Mobile-Based Patient Monitoring Systems: A Prioritisation Framework Using Multi-Criteria Decision-Making Techniques.

Authors:  E M Almahdi; A A Zaidan; B B Zaidan; M A Alsalem; O S Albahri; A S Albahri
Journal:  J Med Syst       Date:  2019-06-06       Impact factor: 4.460

2.  Leveraging mobile health applications for biomedical research and citizen science: a scoping review.

Authors:  Hannah Schmitz; Carol L Howe; David G Armstrong; Vignesh Subbian
Journal:  J Am Med Inform Assoc       Date:  2018-12-01       Impact factor: 4.497

Review 3.  Text-mining analysis of mHealth research.

Authors:  Bunyamin Ozaydin; Ferhat Zengul; Nurettin Oner; Dursun Delen
Journal:  Mhealth       Date:  2017-12-27

4.  Introduction to Focused Issue on mHealth Infrastructure: issues and solutions that challenge optimal deployment of mHealth products and services.

Authors:  Donna J Slovensky; Donna M Malvey
Journal:  Mhealth       Date:  2017-12-27

5.  Approaches for text mining of mHealth literature.

Authors:  Bunyamin Ozaydin; Ferhat Zengul; Nurettin Oner; Dursun Delen
Journal:  Mhealth       Date:  2022-04-20

6.  Effectiveness of mHealth Interventions in Improving Medication Adherence Among People with Hypertension: a Systematic Review.

Authors:  Shangzhi Xiong; Hudson Berkhouse; Mary Schooler; William Pu; Anli Sun; Enying Gong; Lijing L Yan
Journal:  Curr Hypertens Rep       Date:  2018-08-07       Impact factor: 5.369

7.  Patient and physician perspectives of a smartphone application for depression: a qualitative study.

Authors:  Marie-Camille Patoz; Diego Hidalgo-Mazzei; Olivier Blanc; Norma Verdolini; Isabella Pacchiarotti; Andrea Murru; Laurent Zukerwar; Eduard Vieta; Pierre-Michel Llorca; Ludovic Samalin
Journal:  BMC Psychiatry       Date:  2021-01-29       Impact factor: 3.630

8.  Access to Healthcare during COVID-19.

Authors:  Alicia Núñez; S D Sreeganga; Arkalgud Ramaprasad
Journal:  Int J Environ Res Public Health       Date:  2021-03-14       Impact factor: 3.390

9.  Factors affecting physicians using mobile health applications: an empirical study.

Authors:  Pei Wu; Runtong Zhang; Jing Luan; Minghao Zhu
Journal:  BMC Health Serv Res       Date:  2022-01-04       Impact factor: 2.655

10.  The Effectiveness of Self-Management of Hypertension in Adults Using Mobile Health: Systematic Review and Meta-Analysis.

Authors:  Ran Li; Ning Liang; Fanlong Bu; Therese Hesketh
Journal:  JMIR Mhealth Uhealth       Date:  2020-03-27       Impact factor: 4.773

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