Literature DB >> 20878452

The adoption of mobile health management services: an empirical study.

Ming-Chien Hung1, Wen-Yuan Jen.   

Abstract

As their populations age, many countries are facing the increasing economic pressure of providing healthcare to their people. In Taiwan, this problem is exacerbated by an increasing rate of obesity and obesity-related conditions. Encouraging the adoption of personal health management services is one way to maintain current levels of personal health and to efficiently manage the distribution of healthcare resources. This study introduces Mobile Health Management Services (MHMS) and employs the Technology Acceptance Model (TAM) to explore the intention of students in Executive Master of Business Management programs to adopt mobile health management technology. Partial least squares (PLS) was used to analyze the collected data, and the results revealed that "perceived usefulness" and "attitude" significantly affected the behavioral intention of adopting MHMS. Both "perceived ease of use" and "perceived usefulness," significantly affected "attitude," and "perceived ease of use" significantly affected "perceived usefulness" as well. The results also show that the determinants of intention toward MHMS differed with age; young adults had higher intention to adopt MHMS to manage their personal health. Therefore, relevant governmental agencies may profitably promote the management of personal health among this population. Successful promotion of personal health management will contribute to increases in both the level of general health and the efficient management of healthcare resources.

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Year:  2010        PMID: 20878452     DOI: 10.1007/s10916-010-9600-2

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  18 in total

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5.  A review of health management research.

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Journal:  Eur J Public Health       Date:  2007       Impact factor: 3.367

6.  Realising resource efficiency in the management of healthcare waste from the Cornwall National Health Service (NHS) in the UK.

Authors:  T L Tudor; C L Marsh; S Butler; J A Van Horn; L E T Jenkin
Journal:  Waste Manag       Date:  2007-06-08       Impact factor: 7.145

7.  Mobile healthcare services in school-based health center.

Authors:  Wen-Yuan Jen
Journal:  Int J Med Inform       Date:  2009-01-22       Impact factor: 4.046

8.  An empirical study of adopting mobile healthcare service: the family's perspective on the healthcare needs of their elderly members.

Authors:  Wen-Yuan Jen; Ming-Chien Hung
Journal:  Telemed J E Health       Date:  2010 Jan-Feb       Impact factor: 3.536

9.  Delivery of preventive services to older adults by primary care physicians.

Authors:  Hoangmai H Pham; Deborah Schrag; J Lee Hargraves; Peter B Bach
Journal:  JAMA       Date:  2005-07-27       Impact factor: 56.272

10.  Patient acceptance of a novel preventive care delivery system.

Authors:  Thomas D Denberg; Stephen E Ross; John F Steiner
Journal:  Prev Med       Date:  2007-02-01       Impact factor: 4.018

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  21 in total

1.  Determinants of RFID adoption in Malaysia's healthcare industry: occupational level as a moderator.

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Journal:  J Med Syst       Date:  2014-12-11       Impact factor: 4.460

2.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

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Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

3.  Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective.

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Journal:  J Med Syst       Date:  2014-07-20       Impact factor: 4.460

4.  Power Gaps Among Stakeholders in Israel's Primary Care and the Role of Primary Care Physicians' Relative Power in Their Intention to Use Video-Consultations with Patients.

Authors:  Irit Chudner; Anat Drach-Zahavy; Hadass Goldblatt; Margalit Goldfracht; Khaled Karkabi
Journal:  Telemed J E Health       Date:  2019-05-07       Impact factor: 3.536

5.  Health Consumer Engagement, Enablement, and Empowerment in Smartphone-Enabled Home-Based Diagnostic Testing for Viral Infections: Mixed Methods Study.

Authors:  Cynthia LeRouge; Polina Durneva; Victoria Lyon; Matthew Thompson
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Review 6.  Routine Health Information Systems in the European Context: A Systematic Review of Systematic Reviews.

Authors:  Francesc Saigí-Rubió; José Juan Pereyra-Rodríguez; Joan Torrent-Sellens; Hans Eguia; Natasha Azzopardi-Muscat; David Novillo-Ortiz
Journal:  Int J Environ Res Public Health       Date:  2021-04-27       Impact factor: 3.390

7.  Interpretive flexibility in mobile health: lessons from a government-sponsored home care program.

Authors:  Jeppe Agger Nielsen; Lars Mathiassen
Journal:  J Med Internet Res       Date:  2013-10-30       Impact factor: 5.428

8.  Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences.

Authors:  Arun Rai; Liwei Chen; Jessica Pye; Aaron Baird
Journal:  J Med Internet Res       Date:  2013-08-02       Impact factor: 5.428

9.  Improving integrated care: modelling the performance of an online community of practice.

Authors:  Angel Díaz-Chao; Joan Torrent-Sellens; David Lacasta-Tintorer; Francesc Saigí-Rubió
Journal:  Int J Integr Care       Date:  2014-03-10       Impact factor: 5.120

10.  Patients' Acceptance of Smartphone Health Technology for Chronic Disease Management: A Theoretical Model and Empirical Test.

Authors:  Kaili Dou; Ping Yu; Ning Deng; Fang Liu; YingPing Guan; Zhenye Li; Yumeng Ji; Ningkai Du; Xudong Lu; Huilong Duan
Journal:  JMIR Mhealth Uhealth       Date:  2017-12-06       Impact factor: 4.773

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