Adoption of Smart Real-time Mental Health System to Support Emotional Well-being Among Young Adults in Post Covid Era: Role of Social Media
Abstract
Abstract - The world is facing a crisis in poor mental health due to the coronavirus pandemic. Most young10 adults in Malaysia struggle from some form of mental health issues. Although Malaysia has digital medical care system, there is not much data yet on readiness of people to adopt the digital mental health care. Young people seek information and emotional support regarding their illness, online especially on social media, however research evidence for their effectiveness in reducing mental health symptoms is currently lacking. The study proposed to investigate the factors that influence on readiness for adopting the real-time mental system to improve emotional well-being of the young adults in Post Corvid Era. Both qualitative and quantitative approaches were used. For the first step, selected interview was conducted with 10 young adults and the final refined questionnaire was distributed to 200 young adults to measure their readiness in adoption of real time mental health system. The outcome of the research is to recommend the Government policy implications on Smart Real-time Mental Health System that can be adopted as national wide successfully in ensuring to invigorate health care among the young adults in Malaysia.
References
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Viswanath, K. (2008). Social capital and health communications. In Kawachi, I., Subramanian, S., Kim, D. (Eds.), Social capital and health (pp. 259-271). New York, NY: Springer.
Walker, T. (2019). Social networks move into behavioural health, retrieved on 25 April, 2020, https://www.managedhealthcareexecutive.com/view/social-networks-move-behavioral-health
Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, Volume 43, December 2018, Pages 342-350.
Babulak, E. (2020) based on Babulak,E. (2018) Future ICT, AI, Computing and IoT in Support of Microbiology and Infectious Diseases Treatment. Diagnostic Microbiology and Infectious Disease 1(4):1-2. DOI: 10.31031/CJMI.2018.01.000519
Bashshur, R. L., Howell, J. D., Krupinski, E. A., Harms, K. M., Bashshur, N. B., & Doarn, C. R. (2016). The empirical foundations of telemedicine interventions in primary care. Telemedicine Journal and E-Health, 22(5), 342–375.
Chan,T.C., Killeen,J., Griswold W, Lenert L.(2004). Information technology and emergency medical care during disasters. Acad Emerg Med, Vol. 11 (11), pp- 1229-1236.
Clarke, N. (2020). Mental health and brain research must be a higher priority in global COVID-19 response. Academy of Medical Sciences. Retrieved on Aril 26, 2020, https://www.eurekalert.org/pub_releases/2020-04/aoms-mha041520.php
E-Mental Health in Canada: Transforming the Mental Health System Using Technology. (2014). Ottawa, ON: Mental Health Commission of Canada. Retrieved from: http://www.mentalhealthcommission.ca.
Ebrahimi, H., Seyedfatemi, N., Namdar Areshtanab, H., Ranjbar, F., Thornicroft, G., Whitehead, B., & Rahmani, F. (2018). Barriers to family caregivers’ coping with patients with Severe Mental Illness in Iran. Qualitative Health Research, 28(6), 987–1001. https://doi.org/10.1177/1049732318758644
Eysenbach,G. (2018). The Use of Social Networking Sites in Mental Health Interventions for Young People: Systematic Review J Med Internet Res. 2018 Dec; 20(12): e12244. Published online 2018 Dec 18. doi: 10.2196/12244.
Fitzgerald,L., Ferlie,E., Wood,M and Hawkins,C. (2016). "Interlocking interactions, the diffusion of innovations in health care," Human Relations, vol. 55, pp. 1429, 2002.
Hategan, A., Giroux, C., & Bourgeois, J.A. (2019). Digital Technology Adoption in Psychiatric Care: an Overview of the Contemporary Shift from Technology to Opportunity. Journal of Technology in Behavioral Science, Vol.4, pp.171-177.
Hechanova, M.R., & Waelde, L. (2017). The influence of culture on disaster mental health and psychosocial support interventions in Southeast Asia. Mental Health, Religion and Culture, 20, 31–44.
Hilthy, D., Chan, S., Hwang, T., Wong, A and Bauer, A.M (2017). Advances in mobile mental health: opportunities and implications for the spectrum of e-mental health services. Mhealth, Vol, 3, No.4, doi: 10.21037/mhealth.2017.06.02
Hollis, C., Sampson, S., and Simons, L. (2018). “Identifying research priorities for digital Technogym in mental healthcare: results of the James Lind Alliance Priority Setting Partnership”. The Lancet Psychiatry, Vol.5, No.10.
Kim, B., & Kim, Y. (2017). College students’ social media use and communication network heterogeneity: Implications for social capital and subjective well-being. Computers in Human Behavior, 73, 620-628.
Maarop, N., Than Win, K., & Masron, M. (2011). Exploring Factors That Affect Teleconsultation Adoption: In The Case Of Malaysia. Conference: Pacific Asia Conference on Information Systems, PACIS 2011: Quality Research in Pacific Asia, Brisbane, Queensland, Australia, 7-11 July 2011
Nabi, R. L., Prestin, A., So, J. (2013). Facebook friends with (health) benefits? Exploring social network site use and perceptions of social support, stress, and well-being. Cyberpsychology, Behavior, and Social Networking, 16, 721-727.
Nazari, T. (2019). Why it’s so difficult to get mental health treatment in Malaysia and how to fix it”. Retrieved on 16 April 2020, https://www.therakyatpost.com/2019/11/08/why-its-so-difficult-to-get-mental-health-treatment-in-msia-and-how-we-can-fix-it-evergreen/
Nieminen, T., Prättälä, R., Martelin, T., Härkänen, T., Hyyppä, M. T., Alanen, E., Koskinen, S. (2013). Social capital, health behaviours and health: A population-based associational study. BMC Public Health, 13, 613.
NST (New Straits Times), 2020. Covid-19 to have 'profound' mental health fallout, retrieved April 16 2020,https://www.nst.com.my/world/world/2020/04/584739/covid-19-have-profound-mental-health-fallout
Nutbeam, D 1998, ‘Health promotion glossary’, Health Promotion International, vol. 13, no. 4, Oxford University Press.
Rogers, E.M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
Stepherd., A., Sanders, C., Doyle, M., & Shaw, J. (2015). Using social media for support and feedback by mental health service users: thematic analysis of a twitter conversation. Retrieved on 20 April 2020, https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-015-0408-y.
Timbuong, J. (2019). Lam Thye: Consider insurance coverage for mental health, retrieved on 20 April, 2020, https://www.thestar.com.my/news/nation/2019/05/22/lam-thye-consider-insurance-coverage-for-mental-health/
Viswanath, K. (2008). Social capital and health communications. In Kawachi, I., Subramanian, S., Kim, D. (Eds.), Social capital and health (pp. 259-271). New York, NY: Springer.
Walker, T. (2019). Social networks move into behavioural health, retrieved on 25 April, 2020, https://www.managedhealthcareexecutive.com/view/social-networks-move-behavioral-health
Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, Volume 43, December 2018, Pages 342-350.
Published
2020-08-31
How to Cite
KHAN, Nasreen; BOOI CHEN, Tan; ANUSUYAH, Subbarao.
Adoption of Smart Real-time Mental Health System to Support Emotional Well-being Among Young Adults in Post Covid Era: Role of Social Media.
International Journal of Business and Technology Management, [S.l.], v. 2, n. 2, p. 52-58, aug. 2020.
ISSN 2682-7646.
Available at: <https://myjms.mohe.gov.my/index.php/ijbtm/article/view/10366>. Date accessed: 20 jan. 2025.
Section
Articles
