Literature DB >> 31667819

The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation.

Ahmad Alaiad1, Mohammad Alsharo2, Yazan Alnsour3.   

Abstract

BACKGROUND: The potential benefit of mobile health (M-Health) in developing countries for improving the efficiency of health care service delivery, health care quality, and patient safety, as well as reducing cost, has been increasingly recognized and emphasized in the last few years.
OBJECTIVE: Limited research has investigated the facilitators and barriers for the adoption of M-Health in developing countries to secure successful implementation of the technology. To fill this knowledge gap, we propose an integrative model that explains the patient's adoption behavior of M-Health in developing countries grounded on the unified theory of acceptance and use of technology, dual-factor model, and health belief model.
METHOD: We empirically tested and evaluated the model based on data collected using a survey method from 280 patients living in a developing country. Partial least squares (PLS-SEM) technique was used for data analysis.
RESULTS: The results showed that performance expectancy, effort expectancy, social influence, perceived health threat, M-Health app quality, and life quality expectancy have a direct positive effect on patients' intention to use M-Health. The results also showed that security and privacy risks have a direct negative effect on the patient's intention to use M-Health. However, resistance to change was found to have an indirect negative effect on patients' intention to use M-Health through the performance expectancy.
CONCLUSION: The research contributes to the existing literature of health information systems and M-Health by better understanding how technological, social, and functional factors are associated with digital health applications and services use and success in the context of developing countries. With the widespread availability of mobile technologies and services and the growing demand for M-Health apps, this research can help guide the development of the next generation of M-Health apps with a focus on the needs of patients in developing countries. The research has several theoretical and practical implications for the health care industry, government, policy makers, and technology developers and designers. Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2019        PMID: 31667819      PMCID: PMC6821538          DOI: 10.1055/s-0039-1697906

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  42 in total

1.  The impact of post-adoption beliefs on the continued use of health apps.

Authors:  Jaehee Cho
Journal:  Int J Med Inform       Date:  2015-12-30       Impact factor: 4.046

2.  Using a modified technology acceptance model in hospitals.

Authors:  Vassilios P Aggelidis; Prodromos D Chatzoglou
Journal:  Int J Med Inform       Date:  2008-08-03       Impact factor: 4.046

3.  Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model.

Authors:  Shupei Yuan; Wenjuan Ma; Shaheen Kanthawala; Wei Peng
Journal:  Telemed J E Health       Date:  2015-04-28       Impact factor: 3.536

4.  How habit affects continuous use: evidence from Jordan's national health information system.

Authors:  Mohammad Alsharo; Yazan Alnsour; Mohammad Alabdallah
Journal:  Inform Health Soc Care       Date:  2018-11-20       Impact factor: 2.439

Review 5.  mHealth adoption in low-resource environments: a review of the use of mobile healthcare in developing countries.

Authors:  Arul Chib; Michelle Helena van Velthoven; Josip Car
Journal:  J Health Commun       Date:  2014-03-27

6.  Self-tracking for Mental Wellness: Understanding Expert Perspectives and Student Experiences.

Authors:  Christina Kelley; Bongshin Lee; Lauren Wilcox
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2017-05-02

7.  The Cameroon Mobile Phone SMS (CAMPS) trial: a randomized trial of text messaging versus usual care for adherence to antiretroviral therapy.

Authors:  Lawrence Mbuagbaw; Lehana Thabane; Pierre Ongolo-Zogo; Richard T Lester; Edward J Mills; Marek Smieja; Lisa Dolovich; Charles Kouanfack
Journal:  PLoS One       Date:  2012-12-06       Impact factor: 3.240

8.  A Study of Personal Health Record User's Behavioral Model Based on the PMT and UTAUT Integrative Perspective.

Authors:  Hui-Lung Hsieh; Yu-Ming Kuo; Shiang-Ru Wang; Bi-Kun Chuang; Chung-Hung Tsai
Journal:  Int J Environ Res Public Health       Date:  2016-12-23       Impact factor: 3.390

9.  Factors influencing consumer adoption of USB-based Personal Health Records in Taiwan.

Authors:  Wen-Shan Jian; Shabbir Syed-Abdul; Sanjay P Sood; Peisan Lee; Min-Huei Hsu; Cheng-Hsun Ho; Yu-Chuan Li; Hsyien-Chia Wen
Journal:  BMC Health Serv Res       Date:  2012-08-27       Impact factor: 2.655

10.  Health App Use Among US Mobile Phone Owners: A National Survey.

Authors:  Paul Krebs; Dustin T Duncan
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-04       Impact factor: 4.773

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  10 in total

Review 1.  The potential use of digital health technologies in the African context: a systematic review of evidence from Ethiopia.

Authors:  Tsegahun Manyazewal; Yimtubezinash Woldeamanuel; Henry M Blumberg; Abebaw Fekadu; Vincent C Marconi
Journal:  NPJ Digit Med       Date:  2021-08-17

Review 2.  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

Review 3.  Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.

Authors:  Christine Jacob; Emre Sezgin; Antonio Sanchez-Vazquez; Chris Ivory
Journal:  JMIR Mhealth Uhealth       Date:  2022-05-05       Impact factor: 4.947

4.  Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors.

Authors:  Wenqing Zhang; Liangliang Liu
Journal:  Transp Res Part A Policy Pract       Date:  2022-03-07       Impact factor: 5.594

5.  Reported COVID-19 vaccines side effects among Jordanian population: a cross sectional study.

Authors:  Haya Omeish; Angam Najadat; Sayer Al-Azzam; Nada Tarabin; Amer Abu Hameed; Neebal Al-Gallab; Hadeel Abbas; Lana Rababah; Majd Rabadi; Reema Karasneh; Mamoon A Aldeyab
Journal:  Hum Vaccin Immunother       Date:  2021-10-06       Impact factor: 3.452

6.  Factors influencing the elderly's adoption of mHealth: an empirical study using extended UTAUT2 model.

Authors:  Jahir Uddin Palas; Golam Sorwar; Md Rakibul Hoque; Achchuthan Sivabalan
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-24       Impact factor: 3.298

Review 7.  Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease-Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review.

Authors:  Mel Ramasawmy; Lydia Poole; Zareen Thorlu-Bangura; Aneesha Chauhan; Mayur Murali; Parbir Jagpal; Mehar Bijral; Jai Prashar; Abigail G-Medhin; Elizabeth Murray; Fiona Stevenson; Ann Blandford; Henry W W Potts; Kamlesh Khunti; Wasim Hanif; Paramjit Gill; Madiha Sajid; Kiran Patel; Harpreet Sood; Neeraj Bhala; Shivali Modha; Manoj Mistry; Vinod Patel; Sarah N Ali; Aftab Ala; Amitava Banerjee
Journal:  JMIR Cardio       Date:  2022-08-11

8.  Adoption of mobile health services using the unified theory of acceptance and use of technology model: Self-efficacy and privacy concerns.

Authors:  Yizhi Liu; Xuan Lu; Gang Zhao; Chengjiang Li; Junyi Shi
Journal:  Front Psychol       Date:  2022-08-11

9.  An ounce of prevention or a pound of cure? Multi-level modelling on the antecedents of mobile-wallet adoption and the moderating role of e-WoM during COVID-19.

Authors:  Ahmad M A Zamil; Saqib Ali; Petra Poulova; Minhas Akbar
Journal:  Front Psychol       Date:  2022-09-28

Review 10.  Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review.

Authors:  Chen Wang; Huiying Qi
Journal:  Healthcare (Basel)       Date:  2021-03-22
  10 in total

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