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중고령자의 자기효능감이 디지털헬스기기 이용의도에 미치는 영향: 중장년층과 노년층 세대의 비교를 중심으로

Effect of self-efficacy of middle-aged and elderly on the intention to use digital health devices: focusing on the difference between middle-aged and elderly

  • 투고 : 2020.06.22
  • 심사 : 2020.10.20
  • 발행 : 2020.10.28

초록

본 연구는 중고령자의 디지털헬스기기에 대한 자기효능감과 이용의도 간의 관계를 중장년층과 노년층 집단별로 살펴보고자 하였다. 이에 따라 본 연구는 『2019 한국 중·고령자 기술수용도 조사』를 이용하여, 빈도분석과 T-test 분석, 선형회귀분석을 시행하였다. 본 연구의 분석결과는 다음과 같다. 첫째, 중장년층과 노년층의 디지털헬스기기 이용의도를 비교한 결과, 중장년층의 이용의도(5.07점)는 노년층(4.86점)에 비해 상당히 높은 것으로 나타났다. 둘째, 중장년층의 자기효능감(7.74점) 역시 노년층(6.21점)보다 높게 나타났지만 두 연령집단 모두 절반보다 높게 나타나 상당히 높은 자기효능감을 갖고 있는 것으로 나타났다. 마지막으로, 연령집단별 자기효능감과 이용의도 간 관계를 살펴본 결과, 중장년층의 경우 자기효능감과 이용의도 간의 관계가 유의미하지 않은 것으로 나타났으나 노년층의 경우에는 자기효능감과 이용의도 간의 관계가 정적인 방향으로 영향을 미치는 것으로 나타났다. 즉, 노년층의 경우에는 디지털기기에 대한 자기효능감이 높을수록 디지털헬스기기 이용의도가 높아지는 것으로 나타났다. 이와 같은 연구결과를 통해 중고령자의 디지털헬스기기 활용 증진을 위해서는 자기효능감을 증진시킬 수 있는 교육프로그램이 선제적으로 도입될 필요가 있으며, 중장년층과 노년층의 연령집단 특성에 따라 차별화된 전략이 필요함을 제시하였다. 본 연구는 연령집단에 따른 디지털헬스기기 이용의도 연구의 기초연구가 될 것으로 기대하며 후속연구로서 유용성, 편의성, 불안 등이 포함된 연구를 제시하였다.

The purpose of this study was to investigate the relationship between the self-efficacy and intention to use for digital health devices by middle-aged and aged groups. We conducted the frequency analysis, T-test analysis, and linear regression analysis using the 2019 Korean Senior Technology Acceptance Survey. The analysis results are as follows. First, the group of the middle-aged had higher score of the intention to use for digital health devices than the group of the elderly. Second, the group of the middle-aged group also had higher self-efficacy than the group of the elderly. Lastly, it was found that the relationship between the self-efficacy and intention to use was not significant in the middle-aged group. However, the relationship between the self-efficacy and intention to use in the elderly group had a positive influence. We suggested that the differentiated strategy is needed to promote the utilization of digital health devices for middle-aged and aged. This study is expected to be a fundamental study of digital health devices and suggest the research model including the usefulness, ease of use, and anxiety.

키워드

참고문헌

  1. Ministry of Science and ICT. (2018). 2018 Internet Usage Survey
  2. S. T. Ahn & J. Y. Lee.. (2019). Older Adults Health Promotion via Mobile Application : The effect of Self-efficacy and Social Stigma. Korean Journal of Journalism & Communication Studies, 63(2), 113-142. DOI : 10.20879/kjjcs.2019.63.2.004
  3. National Pension Research Institute. (2019). Non-financial retirement life of middle-aged people
  4. Y. W. Kim, S. M. Han & K. S. Kim. (2018). Determinants of Intention to Use Digital Healthcare Service of Middle and Older Users. Information Society & Media, 19(3), 1-23.
  5. Chung, J. E., Park, N., Wang, H., Fulk, J., & McLaughlin, M. (2010). Age differences in perceptions of online community participation among non-users: An extension of the Technology Acceptance Model. Computers in Human Behavior, 26(6), 1674-1684. https://doi.org/10.1016/j.chb.2010.06.016
  6. Kim, M, Kang, Y, Jung, D & Lee, G. (2013). "Older Adults' Smart Phone Use and Access to Health Information." Journal of Qualitative Research, 14(1), 13-22. https://doi.org/10.22284/qr.2013.14.1.13
  7. National Information Society Agency. (2018). Information gap index survey.
  8. Niehaves, B., & Plattfaut, R. (2014). Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide. European Journal of Information Systems, 23(6), 708-726. https://doi.org/10.1057/ejis.2013.19
  9. Wang, Y. S. (2007). Development and validation of a mobile computer anxiety scale. British Journal of Educational Technology, 38(6), 990-1009. https://doi.org/10.1111/j.1467-8535.2006.00687.x
  10. M. J. Roh. (2015). A Study on User Acceptance of Mobile Airline Ticketing Apps Based on Technology Acceptance Model. Journal of the Aviation Management Society of Korea, 13(5), 69-94.
  11. Wu, J. H., Wang, S. C., & Lin, L. M. (2007). Mobile computing acceptance factors in the healthcare industry: A structural equation model. International Journal of Medical Informatics, 76(1), 66-77. https://doi.org/10.1016/j.ijmedinf.2006.06.006
  12. 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), 183-200
  13. Dorin, L., Turner, S. C., Beckmann, L., gro$\ss$e Schlarmann, J., Faatz, A., Metzing, S., & Buscher, A. (2014). Which need characteristics influence healthcare service utilization in home care arrangements in Germany?. BMC health services research, 14(1), 233. https://doi.org/10.1186/1472-6963-14-233
  14. Wu, L., Li, J. Y., & Fu, C. Y. (2011). The adoption of mobile healthcare by hospital's professionals: An integrative perspective. Decision support systems, 51(3), 587-596. https://doi.org/10.1016/j.dss.2011.03.003
  15. Hsiao, C. H., & Tang, K. Y. (2015). Examining a model of mobile healthcare technology acceptance by the elderly in Taiwan. Journal of Global Information Technology Management, 18(4), 292-311. https://doi.org/10.1080/1097198X.2015.1108099
  16. Baek, H. (2006). A Qualitative Study on the Experience of Poverty among the Poor Elderly People Who Live Alone, Korean Journal of Social Welfare Studies. (31): 5-39
  17. H. J. Hwang & Y. S. Hwang. (2017). Gaps and Reasons of Digital Divide within the Elderly in Korea : Focusing on Household Composition. THE JOURNAL OF SOCIAL SCIENCE, 24(3), 359-386. https://doi.org/10.46415/jss.2017.09.24.3.359
  18. J. S. Lee. (2014). Digital healthcare platform and major company trends. Health Industry Brief, Korea Health Industry Development Institute, 140.
  19. Institute for Information & communication Technology Planning & evaluation(2017). Digital healthcare. Global digital healthcare technology trends and challenges.
  20. Zebra Technologies. (2017). 2022 Hospital Vision Study Report. Illinois, USA : Zebra Technologies
  21. Accenture. (2019). Australian Seniors Ride Digital Care Wave. Ireland, Dublin : Accenture
  22. Palsson, S., Ostling, S., & Skoog, I. (2001). The incidence of first-onset depression in a population followed from the age of 70 to 85. Psychological medicine, 31(7), 1159. https://doi.org/10.1017/S0033291701004524
  23. Rogers, R. G. (1996). The effects of family composition, health, and social support linkages on mortality. Journal of Health and Social Behavior, 326-338.
  24. B. E. Jung.(2007). Comparison of subjective quality of life between middle-aged and elderly. Sungkyunkwan University Servey Research Center & Samsung Economic Research Institute.
  25. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215 https://doi.org/10.1037/0033-295X.84.2.191
  26. D. J. Lee, S. C. Lee & Y. H. Seo. (2013). The Moderating Effect of Individual Factors on Information Systems(IS) Success Model. J Korean Soc Qual Manag Vol, 41(2), 277-288. https://doi.org/10.7469/JKSQM.2013.41.2.277
  27. Z. Deng, X. Mo, & S. Liu. (2014). Comparison of the middle-aged and older users' adoption of mobile health services in China. International journal of medical informatics, 83(3), 210-224. DOI : 10.1016/j.ijmedinf.2013.12.002
  28. M. Y. Sim. (2015). The Relations Between Meaning in Life and Psychological Health in midlife : Mediating Self-Efficacy. The Catholic University of Korea master's thesis.
  29. J. Y. Park. (2014). An Effect of Self-Esteem and Self-Efficacy in Middle-Aged Women's on the Behavior for Preparing Their Old Age. The Korean Journal of Health Service Management, 8(4), 257-270. https://doi.org/10.12811/kshsm.2014.8.4.257
  30. I. S. Yeom. (2019). The Effect of Preparation for Old Age on Life Satisfaction in Middle-aged People: Focusing on Mediating Effects of SelfEfficacy. JOURNAL OF THE KOREA CONTENTS ASSOCIATION, 19(10), 472-486. DOI : 10.5392/JKCA.2019.19.10.472
  31. Li, L. W., & Liang, J. (2007). Social exchanges and subjective well-being among older Chinese: Does age make a difference?. Psychology and Aging, 22(2), 386. https://doi.org/10.1037/0882-7974.22.2.386
  32. I. Y. Jung. (2017). The Influence of the Social Support and the Self-Efficacy on the Life Satisfaction of the Elderly : Focusing on the Mediating Effect of the Ego-Integrity. Journal of the Korean society for Wellness, 12(4), 423-438. DOI : 10.21097/ksw.2017.11.12.4.423