Understanding the insight of factors affecting mHealth adoption

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.

Keywords: {'name': 'mHealth; Adoption; Factors; Self-Care; a systematic review.'}

Authors & affiliations

Md. Abdul Kaium
Affiliation not supplied

Yukun Bao
Affiliation not supplied

Mohammad Zahedul Alam
Affiliation not supplied

Najmul Hasan
Affiliation not supplied

Md. Rakibul Hoque
Affiliation not supplied

Deposited references

Supplied references, not a list of publications citing this article.

DOI: 10.1007/978-3-030-02131-3_41

Alam, M. Z., Hu, W., & Barua, Z. (2018). Using the UTAUT Model to Determine Factors Affecting Acceptance and Use of Mobile Health (mHealth) Services in Bangladesh. Journal of Studies in Social Sciences, 17(2).

DOI: 10.1109/DeSE.2015.58

DOI: 10.1017/idm.2016.6

DOI: 10.1260/2040-2295.6.3.399

DOI: 10.1371/journal.pone.0129706

Bjornland, D., Goh, E., Haanæs, K., Kainu, T., & Kennedy, S. (2012). The Socio-economic impact of mobile health. The Boston Consulting Group.

DOI: 10.1016/j.jbi.2013.08.001

DOI: 10.1016/j.techfore.2017.06.014

DOI: 10.1155/2016/3618402

DOI: 10.1109/JSAC.2013.SUP.0513001

DOI: 10.5993/AJHB.38.6.8

DOI: 10.1007/s12525-012-0111-5

DOI: 10.2196/mhealth.9316

DOI: 10.1016/j.ijmedinf.2013.12.002

DOI: 10.1007/s10664-008-9091-7

DOI: 10.1016/j.ijinfomgt.2012.10.008

DOI: 10.1016/j.giq.2017.03.001

DOI: 10.1016/j.giq.2015.06.003

DOI: 10.9790/0050-0112133

DOI: 10.1016/j.engappai.2017.09.019

DOI: 10.5539/ibr.v8n9p142

DOI: 10.1186/1756-0500-3-250

DOI: 10.1093/jamia/ocv052

Greenspun, H., & Coughlin, S. (2012). mHealth in an mWorld: How mobile technology is transforming health care. Deloitte Center for Health Solutions.

DOI: 10.1109/ICMSE.2012.6414426

DOI: 10.1089/tmj.2014.0166

DOI: 10.1007/s12525-012-0112-4

Guo, X., Sun, Y., Yan, Z., & Wang, N. (2012). Privacy-Personalization Paradox in Adoption of Mobile Health Service: The Mediating Role of Trust. Paper presented at the PACIS.

DOI: 10.1016/j.elerap.2015.11.001

DOI: 10.1186/s12911-016-0289-0

DOI: 10.18034/abr.v5i2.55

DOI: 10.2991/itmr.2014.4.2.3

DOI: 10.1016/j.ijmedinf.2017.02.002

Hsiao, C.-H., Chen, M.-C., & Tang, K.-Y. (2013). Investigating the Success Factors for the Acceptance of Mobile Healthcare Technology. Paper presented at the PACIS.

DOI: 10.1007/s10916-010-9600-2

DOI: 10.1089/tmj.2009.0093

DOI: 10.1016/j.sbspro.2015.06.216

DOI: 10.2196/jmir.2130

DOI: 10.1016/j.procs.2017.11.105

DOI: 10.1016/j.ijmedinf.2015.06.008

Kitchenham, B. (2004). Procedures for performing systematic reviews. Keele, UK, Keele University, 33(2004), 1-26.

DOI: 10.1016/j.infsof.2008.09.009

DOI: 10.1089/tmj.2008.0099

DOI: 10.1108/BPMJ-04-2017-0084

DOI: 10.1108/OIR-01-2015-0007

DOI: 10.3389/fpsyt.2019.00259

Leslie, I., Sherrington, S., Dicks, D., Gray, N., & Chang, T.-T. (2011). Mobile communications for medical care: a study of current and future healthcare and health promotion applications, and their use in China and elsewhere (final report, April 2011): Cambridge, University of Cambridge and China Mobile (http://www. csap. cam ….

DOI: 10.1016/j.ijmedinf.2011.08.007

DOI: 10.1016/j.ijinfomgt.2018.09.004

DOI: 10.4156/ijact.vol4.issue3.1

DOI: 10.1109/ISTAFRICA.2014.6880628

Mechael, P., Batavia, H., Kaonga, N., Searle, S., Kwan, A., Goldberger, A., . . . Ossman, J. (2010). Barriers and gaps affecting mHealth in low and middle income countries: Policy white paper: Columbia university. Earth institute. Center for global health and economic ….

DOI: 10.2196/12269

DOI: 10.1016/j.is.2017.04.001

DOI: 10.1080/00207543.2017.1336681

Munyua, S., Rotich, G., & Kimwele, M. (2015). Factors affecting the adoption of mhealth in maternal health care in nakuru provincial general hospital. Int J Sci Technol Res, 2015, 4.

DOI: 10.1109/GHTC.2016.7857342

Ndayizigamiye, P., & Maharaj, M. (2017). Determinants of Mobile Health Adoption in Burundi. The African Journal of Information Systems, 9(3), 4.

Okazaki, S., Blas, S. S., & Castañeda, J. A. (2015). PHYSICIANS'ADOPTION OF MOBILE HEALTH MONITORING SYSTEMS IN SPAIN: COMPETING MODELS AND IMPACT OF PRIOR EXPERIENCE. Journal of Electronic Commerce Research, 16(3), 194.

DOI: 10.2196/jmir.2159

PWC, G. (2012). Touching lives through mobile health: Assessment of the global market opportunity.

DOI: 10.1089/tmj.2017.0111

DOI: 10.2196/jmir.2635

DOI: 10.1186/s13012-016-0510-7

DOI: 10.1016/j.ijmedinf.2018.01.003

Saunders, M. N. (2011). Research methods for business students, 5/e: Pearson Education India.

DOI: 10.17705/1jais.00123

DOI: 10.1007/3-7908-1636-1_7

DOI: 10.1362/147539214X14103453768697

DOI: 10.1089/tmj.2012.0071

DOI: 10.1109/ISCIT.2014.7011948

DOI: 10.1126/scitranslmed.aaa3487

DOI: 10.1016/j.ijmedinf.2015.01.002

Sun, Y., Wang, N., Guo, X., & Peng, Z. (2013). Understanding the acceptance of mobile health services: a comparison and integration of alternative models. Journal of electronic commerce research, 14(2), 183.

DOI: 10.1111/1467-8551.00375

DOI: 10.2307/30036540

DOI: 10.1089/tmj.2010.9990

DOI: 10.1016/j.elerap.2018.06.003

DOI: 10.1057/jit.2008.30

DOI: 10.1016/j.dss.2011.03.003

DOI: 10.1109/ICCISci.2012.6297239

DOI: 10.3233/THC-140811

DOI: 10.1089/tmj.2013.0092

DOI: 10.1080/17538157.2016.1200053

DOI: 10.1016/j.ijinfomgt.2017.08.006

DOI: 10.1080/17538157.2016.1255631