The Antecedents and Consequences of e-Health Literacy in the Pharmaceutical industry: An Agenda for Future Research

  • Zulhamri Abdullah Universiti Putra Malaysia
  • K.Y.S. Putri Universitas Negeri Jakarta
  • S. Bekti Istiyanto Universitas Jenderal Soedirman

Abstract

As a promising area in the healthcare research, electronic health (e-health) has received more research attention recently. The purpose of this paper is to develop and validate a proposed conceptual framework on digital health literacy. This conceptual framework is planned as a guide for future studies to use and validated as a foundation for quantitative studies to investigate the e-Health Literacy as perceived by citizens in Asia amid the outback of the world’s high-risk pandemic crisis such as Coronavirus (Covid19). This conceptual analysis applied Technology Acceptance Model as a basis to develop the antecedents of healthy lifestyle among the citizens of Asian countries. This conceptual paper proposed that Information quality, system quality and services quality will affect the citizens’ perceived ease of use and their perceived usefulness which can affect their intention to use e-health and consequently results to healthy lifestyle among the citizens. This conceptual paper submitted research hypotheses that will be a basis for future researches in Asia and if the framework is validated, recommendations will be offered to various stakeholders on how to improve healthy lifestyle in Asia. Specifically, the proposed conceptual framework if validated will help policy makers to offer positive policy procedure for the improvement of thriving healthcare industries in Asia.

Keywords: healthy lifestyle, Technology Acceptance Model, Information quality, COVID-19, e-health

References

Abdullah, Z. & Abdulrahaman, A.A. (2020). Antecedents and consequences of CSR
communication management (CSRCM): An agenda for future research. Journal of
Critical Reviews, 7(9), 600-606.

Abdullah, A., Yaacob, M.R., Ismail, M.B., Zakaria, M.N., Abdullah, Z., & Mohd Radyi, S.A.
(2017). Corporate engagement with the community: Building relationships through CSR.
Journal of Engineering and Applied Sciences, 12(6), 1538-1542.

Abdullah, J. M., Ismail, W. F. N. M. W., Mohamad, I., Ab Razak, A., Harun, A., Musa, K. I., & Lee, Y. Y. (2020). A Critical Appraisal of COVID-19 in Malaysia and Beyond. The Malaysian journal of medical sciences: MJMS, 27(2), 1.
Abdullah, Z. (2009). Beyond corporate image: Projecting international reputation management as
a new theoretical approach in a transitional country. International Journal of Economics
and Management, 3(1), 170-183.

Abdullah, Z. (2010). Cultural diversity management in Malaysia: A perspective of communication
management, in M. Özbilgin & J. Syed (Eds.), Managing cultural diversity in Asia (pp. 14–38). Gheltenham: Edward Elgar Publishing Limited.

Abdullah, Z. (2007). Towards international cultural diversity management of public relations:
Viewpoints of chairmen/CEOs. International Journal of Economics and Management, 1(2), 285-299.

ADB, 21 March 2020, ADB Approves $3 Million Grant to Support Indonesia's Fight Against COVID-19
Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified technology acceptance model in hospitals. International journal of medical informatics, 78(2), 115-126.
Al Thunibat, A., Zin, N. A. M., & Sahari, N. (2011). Mobile government user requirements model. Journal of E-Governance, 34(2), 104-111.
Alam, M. Z., Hoque, M. R., Hu, W., & Barua, Z. (2020). Factors influencing the adoption of mHealth services in a developing country: A patient-centric study. International Journal of Information Management, 50, 128-143.
Allman-Farinelli, M., Partridge, S., McGeechan, K., Balestracci, K., Hebden, L., Wong, A., et al. (2016). A mobile health lifestyle program for prevention of weight gain in young adults (TXT2BFiT): Nine-month outcomes of a randomized controlled trial. JMIR mHealth and uHealth, 4,1 –78. https://doi.org/10.2196/mhealth.5678.
Alomari, M., Woods, P., & Sandhu, K. (2012). Predictors for e?government adoption in Jordan. Information Technology & People.
Alsharo, M., Alnsour, Y., & Alabdallah, M. (2020). How habit affects continuous use: evidence from Jordan’s national health information system. Informatics for Health and Social Care, 45(1), 43-56.

Baninajarian, N., & Abdullah, Z. B. (2009). Groups in context: A model of group
effectiveness. European Journal of Social Sciences, 8(2), 335-340.

British Computer Society. (2017) BCS digital literacy for life programme, http://www.bcs.org /category/17853.
DAVIS, F. D. (1987). User accptance of information systems: The technology acceptance model (TAM), Graduate School of Business, University of Michigan.
Davis, F. D., & Venkatesh, V. (2004). Toward preprototype user acceptance testing of new information systems: implications for software project management. IEEE Transactions on Engineering management, 51(1), 31-46.
Delone, W. H., & Mclean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of electronic commerce, 9(1), 31-47.
Egea, J. M. O., & González, M. V. R. (2011). Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors. Computers in Human Behavior, 27(1), 319-332.
Ekpe, I., Razak, R.C., Ismail, M., & Abdullah, Z. (2016). Entrepreneurial skill acquisition,
psychosocial factors and youth’s self-employment in Malaysia. Journal of Entrepreneurship Education, 19(2), 78-88.

Ekpe, I., Razak, R. C., Ismail, M., & Abdullah, Z. (2015). Entrepreneurial skill acquisition and
youth’s self-employment in Malaysia: How far? Mediterranean Journal of Social Sciences, 6(4), 150–154.

Eysenbach, G. (2001). What is e-health?. Journal of medical Internet research, 3(2), e20.
Fadzil, F., Jaafar, S., & Ismail, R. (2020). 40 years of Alma Ata Malaysia: targeting equitable access through organisational and physical adaptations in the delivery of public sector primary care. Primary Health Care Research & Development, 21.
Gao, L., & Waechter, K. A. (2017). Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation. Information Systems Frontiers, 19(3), 525-548.
Gao, L., Waechter, K. A., & Bai, X. (2015). Understanding consumers’ continuance intention towards mobile purchase: A theoretical framework and empirical study–A case of China. Computers in Human Behavior, 53, 249-262.
Golinelli, D., Boetto, E., Carullo, G., Landini, M. P., & Fantini, M. P. (2020). How the COVID-19 pandemic is favoring the adoption of digital technologies in healthcare: a rapid literature review. medRxiv.
Hajishafiee, M., Keshteli, A. H., Saneei, P., Feinle?Bisset, C., Esmaillzadeh, A., & Adibi, P. (2020). Healthy lifestyle score and irritable bowel syndrome: A cross?sectional study in adults. Neurogastroenterology & Motility, 32(5), e13793.
Hoque, M. R., Bao, Y., & Sorwar, G. (2017). Investigating factors influencing the adoption of e-Health in developing countries: A patient’s perspective. Informatics for Health and Social Care, 42(1), 1-17.
James, D. C., & Cedric Harville, I. I. (2016). Peer reviewed: eHealth literacy, online help-seeking behavior, and willingness to participate in mHealth chronic disease research among African Americans, Florida, 2014–2015. Preventing chronic disease, 13.
Jung, M. L., & Loria, K. (2010). Acceptance of Swedish e-health services. Journal of multidisciplinary healthcare, 3, 55.
Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60, 101212.
Kanchanachitra, C., Lindelow, M., Johnston, T., Hanvoravongchai, P., Lorenzo, F. M., Huong, N. L., ... & Dela Rosa, J. F. (2011). Human resources for health in southeast Asia: shortages, distributional challenges, and international trade in health services. The Lancet, 377(9767), 769-781.
Kang, H., & An, S. (2020). Do websites contain factors to aid older adults’ adoption of health-related information and communication technology?. Journal of Communication in Healthcare, 1-13.
Leung, L., & Chen, C. (2019). E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecommunications Policy, 43(6), 563-575.
Norman, C. D., & Skinner, H. A. (2006). eHEALS: the eHealth literacy scale. Journal of medical Internet research, 8(4), e27.
Paige, S. R. (2020). Health Promotion and Chronic Disease Prevention with eHealth Technology in the General Population. In Nutrition, Fitness, and Mindfulness (pp. 225-236). Humana, Cham.
Papa, A., Mital, M., Pisano, P., & Del Giudice, M. (2020). E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation. Technological Forecasting and Social Change, 153, 119226.
Reder, M., Soellner, R., & Kolip, P. (2019). Do Women With High eHealth Literacy Profit More From a Decision Aid on Mammography Screening? Testing the Moderation Effect of the eHEALS in a Randomized Controlled Trial. Frontiers in Public Health, 7, 46.
Richtering, S. S., Morris, R., Soh, S. E., Barker, A., Bampi, F., Neubeck, L., ... & Peiris, D. (2017). Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses. PLoS One, 12(4), e0175372.
Robbins, T., Hudson, S., Ray, P., Sankar, S., Patel, K., Randeva, H., & Arvanitis, T. N. (2020). COVID-19: A new digital dawn?.
Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce. International Journal of Information Management, 50, 286-301.
Shiferaw, K. B. (2020). Validation of the Ethiopian Version of eHealth Literacy Scale (ET-eHEALS) in a Population with Chronic Disease. Risk Management and Healthcare Policy, 13, 465-471.
Silic, M., & Ruf, C. (2018). The effects of the elaboration likelihood model on initial trust formation in financial advisory services. International journal of bank marketing.
Statista, 27 March 2020, • Indonesia: coronavirus (COVID-19) cases 2020
Tao, D., Wang, T., Wang, T., Zhang, T., Zhang, X., & Qu, X. (2020). A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior, 104, 106147.
Tubaishat, A., & Habiballah, L. (2016). eHealth literacy among undergraduate nursing students. Nurse education today, 42, 47-52.
WHO, 26 March 2020, Critical preparedness, readiness and response actions for COVID-1
Wilson, E. V., & Lankton, N. K. (2009). Predicting patients' use of provider-delivered e-health: The role of facilitating conditions. In Patient-centered e-health (pp. 217-229). IGI Global.
Yusif, S., Hafeez-Baig, A., & Soar, J. (2020). An exploratory study of the readiness of public healthcare facilities in developing countries to adopt health information technology (HIT)/e-Health: the case of Ghana. Journal of Healthcare Informatics Research, 1-26.
Zobair, K. M., Sanzogni, L., & Sandhu, K. (2019). Expectations of telemedicine health service adoption in rural Bangladesh. Social Science & Medicine, 238, 112485.
Statistics
3 Views | Downloads
How to Cite
Abdullah, Z., Putri, K., & Istiyanto, S. B. (2020). The Antecedents and Consequences of e-Health Literacy in the Pharmaceutical industry: An Agenda for Future Research. International Journal of Applied Pharmaceutics, 12(6). Retrieved from https://innovareacademics.in/journals/index.php/ijap/article/view/39069
Section
Review Article(s)