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      Perception of Influencing Factors on Acceptance of Mobile Health Monitoring Service: A Comparison between Users and Non-users

      research-article
      , PhD 1 , , PhD 2 ,
      Healthcare Informatics Research
      Korean Society of Medical Informatics
      Mobile Health, Telemedicine, Telehealth, UTAUT Model

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          Abstract

          Objectives

          To improve and promote mobile health monitoring services, this study investigated the perception of various factors influencing the acceptance of services between users and non-users.

          Methods

          This study drew 9 variables from studies related to mobile health monitoring services and the unified theory of acceptance and the use of technology model. A total of 219 samples were collected by a paper-based survey from users (n = 106) and non-users (n = 113). Analysis was carried out using a two-independent samples t-test.

          Results

          The findings indicate that users have a more positive perception of service benefits than non-users. Although there were difference between users and non-users, all respondents had a positive perception of the service benefits. After users used the service, they were less concerned about the risks involved with it. However, both users and non-users had a high negative perception of service risk. Users also had a more positive perception of intimacy and communication associated with the services than non-users. Both users and non-users had a high behavioral intention to use the services. Finally, this study observed that older subjects tended to recognize the higher value of the services.

          Conclusions

          This study provides insights to improve and invigorate mobile health monitoring services. This study also offers insights into how to increase the number of users of mobile health monitoring services in South Korea.

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          Most cited references35

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          Multivariate Data Analysis

          For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. In this revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques. :Pearson New International Edition.
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            Benefits and drawbacks of telemedicine.

            N Hjelm (2004)
            Telemedicine is a vast subject, but as yet there are limited data on the clinical effectiveness and cost-effectiveness of most telemedicine applications. As a result, objective information about the benefits and drawbacks of telemedicine is limited. This review is therefore based mainly on preliminary results, opinions and predictions. Many potential benefits of telemedicine can be envisaged, including: improved access to information; provision of care not previously deliverable; improved access to services and increasing care delivery; improved professional education; quality control of screening programmes; and reduced health-care costs. Although telemedicine clearly has a wide range of potential benefits, it also has some disadvantages. The main ones that can be envisaged are: a breakdown in the relationship between health professional and patient; a breakdown in the relationship between health professionals; issues concerning the quality of health information; and organizational and bureaucratic difficulties. On balance, the benefits of telemedicine are substantial, assuming that more research will reduce or eliminate the obvious drawbacks.
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                Author and article information

                Journal
                Healthc Inform Res
                Healthc Inform Res
                HIR
                Healthcare Informatics Research
                Korean Society of Medical Informatics
                2093-3681
                2093-369X
                September 2013
                30 September 2013
                : 19
                : 3
                : 167-176
                Affiliations
                [1 ]Graduate School of Business, Sogang University, Seoul, Korea.
                [2 ]Department of Medical Informatics, The Catholic University of Korea College of Medicine, Seoul, Korea.
                Author notes
                Corresponding Author: Mi Jung Rho, PhD. Department of Medical Informatics, The Catholic University of Korea College of Medicine, 222, Banpo-daero, Seocho-gu, Seoul 137-701, Korea. Tel: +82-2-2258-7648, Fax: +82-2-2258-8257, rhomijung@ 123456catholic.ac.kr
                Article
                10.4258/hir.2013.19.3.167
                3810524
                24175115
                7660962e-65cc-4660-93ed-1a3a5e44a794
                © 2013 The Korean Society of Medical Informatics

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 May 2013
                : 06 September 2013
                : 17 September 2013
                Funding
                Funded by: Changwon City Health Center
                Categories
                Original Article

                Bioinformatics & Computational biology
                mobile health,telemedicine,telehealth,utaut model
                Bioinformatics & Computational biology
                mobile health, telemedicine, telehealth, utaut model

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