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Understanding the insight of factors affecting mHealth adoption: A systematic review

Author

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  • Md. Abdul Kaium

    (Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China)

  • Yukun Bao

    (Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China)

  • Mohammad Zahedul Alam

    (School of Management, Wuhan University of Technology, China)

  • Najmul Hasan

    (Center for Modern Information Management, School of Management, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China)

  • Md. Rakibul Hoque

    (Management Information Systems, University of Dhaka, Bangladesh)

Abstract

Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential factors of mHealth adoption. We performed a systematic literature search on eight electronically reputed scientific databases from 2010 to March 2019, such as Science Direct, Springer, IEEE Xplore, JMIR, Taylor & Francis, Emerald, Mary Ann Liebert and Google Scholar. This was accomplished by gathering data including authors, countries, years, target population, sample size, models/theories, and key influential factors. Primarily, a total of 2969 potentially relatable papers were found, of which 50 met the inclusion criteria. It was found that cross-sectional approach, survey methods and structural equation modeling (SEM) were the most explored research methodologies whereas PLS-SEM was found to be the largest used analysis tools. From the analysis, a total of ninety-four influential factors were clearly recognized and the findings represent that the following 15 factors appeared most recurrently and significantly; perceived usefulness, perceived ease of use, social-influence, subjective norms, self-efficacy, trust, facilitating conditions, technology anxiety, performance expectancy, effort expectancy, cost, attitude, resistance to change, perceived privacy and security, and perceived behavioral control. The research results have significant theoretical and practical implications for mHealth services providers, researchers and policy makers with regards to the Sustainable Development Goals (SDGs) allied to healthcare. Key Words:mHealth; Adoption; Factors; Self-Care; a systematic review.

Suggested Citation

  • Md. Abdul Kaium & Yukun Bao & Mohammad Zahedul Alam & Najmul Hasan & Md. Rakibul Hoque, 2019. "Understanding the insight of factors affecting mHealth adoption: A systematic review," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(6), pages 181-200, October.
    • Handle: RePEc:rbs:ijbrss:v:8:y:2019:i:6:p:181-200
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    References listed on IDEAS

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    1. Rui Miao & Qi Wu & Zheng Wang & Xilin Zhang & Yuqin Song & Hui Zhang & Qingfang Sun & Zhibin Jiang, 2017. "Factors that influence users’ adoption intention of mobile health: a structural equation modeling approach," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5801-5815, October.
    2. Hoque, Md. Rakibul & Karim, Mohammad Rezaul & Amin, Mohammad Bin, 2015. "Factors Affecting the Adoption of mHealth Services among Young Citizen: A Structural Equation Modeling (SEM) Approach," Asian Business Review, Asian Business Consortium, vol. 5(2), pages 60-65.
    3. Oecd, 2013. "Electronic and Mobile Commerce," OECD Digital Economy Papers 228, OECD Publishing.
    4. Chandwani, Rajesh & De, Rahul & Dwivedi, Yogesh K., 2018. "Telemedicine for low resource settings: Exploring the generative mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 177-187.
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    Cited by:

    1. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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