Social impacts of the continuous usage of digital healthcare service: A case of South Korea
-
DOIhttp://dx.doi.org/10.21511/im.17(2).2021.08
-
Article InfoVolume 17 2021, Issue #2, pp. 79-89
- Cited by
- 1367 Views
-
437 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
As untact communication is promoted in the era of the COVID-19 pandemic, special attention is paid to remote medical examination and customized healthcare trends. General digital healthcare services among social community members positively affect individuals’ healthcare and reduce medical social services’ burden, contributing to the development of society. Accordingly, it is necessary to induce healthcare behaviors through the continuous usage of digital healthcare services among social community members and to examine significant social impact factors in this regard. This study empirically analyzes the impact of three social impact factors – social capital, social support, and social value – on the continuous usage of digital healthcare service with healthcare behaviors and e-health literacy as media. To this end, a survey was conducted among 363 individuals who had used digital healthcare services in Korea, and the statistical data were analyzed. Social capital and social value were found to affect healthcare behaviors, e-health literacy, and continuous usage intentions, but social support did not. Based on this result, it was confirmed that the factors regarded by digital healthcare service users as necessary were the values and perceptions shared in society and the group, information and active communication rather than direct public support.
- Keywords
-
JEL Classification (Paper profile tab)I11, M31, Z10
-
References44
-
Tables4
-
Figures1
-
- Figure 1. Research model
-
- Table 1. Variable definitions and measurement items
- Table 2. Reliability and convergent validity test results
- Table 3. Correlation matrix and AVE
- Table 4. Hypothesis test results
-
- Agrawal, R., & Prabakaran, S. (2020). Big data in digital healthcare: Lessons learnt and recommendations for general practice. Heredity, 124, 525-534.
- Amoah, P. A. (2018). Social participation, health literacy, and health and well-being: A cross-sectional study in Ghana. SSM – Population Health, 4(April), 263-270.
- Antonio, B., & Antonella, M. (2020). Sustainable value co-creation and digital health: The case of Trentino ehealth ecosystem. Sustainability, 12(13), 5263.
- Asghar, M. R., Lee, T., Baig, M. M., Ullah, E., Russello, G., & Dobbie, G. (2017). A review of privacy and consent management in healthcare: A focus on emerging data sources. IEEE 13th International Conference on e-Science and Grid Computing, 518-522.
- Babin, B. J., & Boles, J. S. (1996). The effects of perceived co-worker involvement and supervisor support on service provider role stress, performance and job satisfaction. Journal of Retailing, 72(1), 57-75.
- Badri, A., Boudreau-Trudel, B., & Souissi, A. S. (2018). Occupational health and safety in the industry 4.0 era: a cause for major concern? Safety Science, 109, 403-411.
- Balliet, D., Parks, C., Joireman, J. (2009). Social value orientation and cooperation in social dilemmas: A meta-analysis. Group Processes & Intergroup Relations, 12, 533-547.
- Bolton, R. N., McColl-Kennedy, J. R., Cheung, L., Gallan, A., Orsingher, C., Witell, L., & Zaki, M. (2018). Customer experience challenges: bringing together digital, physical and social realms. Journal of Service Management, 29(5), 776-808.
- Carroll, L. N., Smith, S. A., & Thomson, N. R. (2015). Parents as teachers health literacy demonstration project integrating an empowerment model of health literacy promotion into home-based parent education. Health Promotion Practice, 16, 282-290.
- Cohen, S., & Hoberman, H. (1983). Positive events and social supports as buffers of life change stress. Journal of Applied Social Psychology, 13(2), 9-125.
- Coleman, J. S. (1988). Social capital in the creation of human capital. The American Journal of Sociology, 94, 95-120.
- Gereffi, G. (2020). What does the COVID-19 pandemic tech us about global value chains? The case of medical supplies. Journal of International Business Policy, 3, 287-301.
- Green, E. C., Murphy, E. M., & Gryboski, K. (2020). The health belief model. The Wiley Encyclopedia of Healty Psychology.
- Harris, D. M., & Guten, G. (1989). Health protective behavior: An exploratory study. Health and Social Behavior, 20(1), 17-19.
- Hathaliya, J. J., Tanwar, S., Tyagi, S., & Kumar, N. (2019). Securing electronics healthcare records in healthcare 4.0: a biometric-based approach. Computers & Electrical Engineering, 76, 398-410.
- Hermes, S., Riasanow, T., Clemons, E. K., & Bohm, M., Krcmar, H. (2020). The digital transformation of the healthcare industry: exploring the rise of emerging platform ecosystems and their influence on the role of patients. Business Research, 13, 1033-1069.
- Hibbard, J. H., Stockard, J., Tusler, M. (2003). Does publicizing hospital performance stimulate quality improvement efforts? Health Affairs, 22(2), 84-94.
- House, J. S., & Kahn, R. L. (1985). Measures and concepts of social support. Social Support and Health, Academic Press, Orlando.
- Hsieh, H. L., & Tsai, C. H., (2013). An empirical study to explore the adoption of telehealth: Health belief model perspective. Journal of Engineering Science and Technology Review, 6(2), 1-5.
- Jang, K. S., Kim, E. A., Oh, S. H. (2011). Effects of social capital on organizational performance in hospital organization: Focusing on effects of intellectual capital. Journal of Korean Academy of Nursing Administration, 17(1), 2-32.
- Kalem, G., & Turhan, C. (2015). Mobile technology applications in the healthcare industry for disease management and wellness. Procedia: Social and Behavioral Sciences, 195(3), 2014-2018.
- Karnoe, A., Furstrand, D., Christensen, K. B., Norgaard, O., & Kayser, L. (2018). Assessing competencies needed to engage with digital health services: Development of the ehealth literacy assessment toolkit. Journal of Medical Internet Research, 20(5).
- Kim, H. S., & Yoon, K. H. (2020). Lessons from use of continuous glucose monitoring systems in digital healthcare. Endocrinology and Metabolism, 35(3), 541-548.
- Klamer, A. (2004). Cultural goods are good for more than their economic value. NY: Culture and Public Action, Worldbank.
- Lafferey, S. C. (1990). An exploration of adult health behavior. Western Journal of Nursing Research, 12(4), 434-444.
- Larrucea, X., Moffie, M., Asaf, S., & Santamaria, I. (2020). Towards a GDPR compliant way to secure European cross border healthcare industry 4.0. Computer Standards & Interfaces, 69(March), 103408.
- Laurenza, E., Quintano, M., Schiavone, F., & Vrontis, D. (2018). The effect of digital technologies adoption in healthcare industry: A case based analysis. Business Process Management Journal, 24(5), 1124-1144.
- Lee, S. M., Lee, D., & Schniederjans, M. J. (2011). Supply chain innovation and organizational performance in the healthcare industry. International Journal of Operations & Production Management, 31(11), 1193-1214.
- Lee, S. Y., & Lee, K. H. (2018). Factors that influence an individual’s intention to adopt a wearable healthcare device: The case of a wearable fitness tracker. Technological Forecasting and Social Change, 129(April), 154-163.
- Lin, S. P. (2011). Determinants of adoption of mobile healthcare service. International Journal of Mobile Communications, 9(3), 298-315.
- Lupton, D. (2013). The digitally engaged patient: Self-monitoring and self-care in the digital health era. Social Theory & Health, 11, 256-270.
- Mackert, M., Champlin, S. E., Holtem, A., Munoz, I. I., & Damasio M. J. (2014). eHealth and health literacy: A research methodology review. Journal of Computer-Mediated Communication, 19(3), 516-528.
- Mathews, S. C., McShea, M. J., Hanley, C. L., Ravitz, A., Labrique, A. B., & Cohen A. B. (2019). Digital health: A path to validation, NPJ Digital Medicine, 38(May), 1-9.
- Mu, S. Y., Yun, Y. M., Han, T. H., Lee, S. E., Chang, H. J., Song, S. Y., & Kim, H. C. (2017). Public awareness of digital healthcare services. Journal of Digital Contents Society, 18(4), 621-629.
- Nutbeam, D., McGill B., & Premkumar, P. (2018). Improving health literacy in community populations: A review of progress. Health Promotion International, 33(5), 901-911.
- Nuti S., Vola, F., Bonini, A., & Vainieri M. (2016). Making governance work in the health care sctor: Evidence from a ’natural experiment’s in Italy. Health Economics, Policy and Law, 11(1), 17-38.
- Papa, A., Mital, M., Pisano, P., Guidice, M. D. (2020). E-health and wellbeing monitoring using smart healthcare devices: An empirical investigation. Technological Forecasting and Social Change, 153(119226).
- Rosis, S. D., Cerasuolo, D., & Nuti, S. (2020). Using patient-reported measures to drive change in healthcare: the experience of the digital, continuous and systematic PREMs. BMC Health Services Research, 20, 315.
- Saheb, T., & Lzadi, L. (2019). Paradigm of IoT big data analytics in the healthcare industry: A review of scientific literature and mapping of research trends. Telematics and Informatics, 41(1), 70-85.
- Sun, T. Q., Medaglia, R. (2019). Mapping the challenges of artificial intelligence in the public sector: Evidence from public healthcare. Government Information Quarterly, 36(2), 368-383.
- Vainieri, M., Vola, F., Soriano, G. G., & Nuti S. (2016). How to set challenging goals and conduct fair evaluation in regional public health systems: Insights from Valencia and Tuscany regions. Health Policy, 120(11), 1270-1278.
- Visconti, R. M., & Morea D. (2020). Healthcare digitalization and pay-for-performance incentives in smart hospital project financing. International Journal of Environmental Research and Public Health, 17(7), 2318.
- Wald, H. S. (2020). Optimizing resilience and wellbeing for healthcare professions trainees and healthcare professionals during public health crises: Practical tips for an ’integrative resilience’ approach. Medical Teacher, 42(7), 744-755.
- Wood, C., Conner, M., Sandberg, T., Godin, G., Sheeran, P. (2014). Why does asking questions change health behaviours? The mediating role of attitude accessibility. Psychology & Health, 29(4), 390-404.