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An Analysis of Non-users of Mobile Healthcare Applications: Based on Diffusion of Innovations Theory

건강 어플리케이션 비이용자에 관한 연구: 혁신확산이론을 중심으로

  • Received : 2017.02.19
  • Accepted : 2017.03.19
  • Published : 2017.03.30

Abstract

The purpose of the study is to identify the barriers to using mobile health applications based on the Diffusion of Innovations Theory. The study employed a purposive sampling to recruit college students who were non-adopters or rejecters. The study participants were a total of 44 students, who consist of 32 males and 12 females, and paper-based interviews were conducted. The findings of the study indicated that attributes such as relative advantages, complexity, trialability and observability were not considerable factors of impeding the adoption or continuous use of health applications, whereas relative disadvantages and compatibility were. The study suggests that health application developers and service providers minimize relative disadvantages and enhance compatibility of the innovation with consumers' life styles, rather than try to improve relative advantages and complexity, to more effectively encourage non-adopters to try and maintain using the innovation.

본 연구는 모바일 건강 어플리케이션의 사용을 방해하는 요인을 혁신확산이론에 따라 분석하고자 하였다. 본 연구는 유의적 표집방법에 따라 비수용자(non-adopters)와 사용 중단자(rejecters)로 구성된 대학생을 모집하였다. 연구 참여자는 총 44명으로 남학생 32명과 여학생 12명으로 구성되었으며 서면인터뷰를 실시하였다. 연구 결과, 상대적 유익성, 복잡성, 시험가능성 및 관찰가능성 등과 같은 속성은 건강 어플리케이션의 채택이나 지속적 이용을 방해하는 심각한 요인으로 작용하지 않았으나, 상대적 불이익과 적합성은 커다란 방해요인으로 작용하는 것으로 파악되었다. 본 연구의 결과는 건강 어플리케이션이라는 혁신을 확산시키고 지속적 이용을 장려하기 위해서는, 상대적 유익성이나 복잡성을 개선하기 보다는, 상대적 불이익에 대한 인식을 재고하고 생활 적합성은 강화해야 한다는 점을 시사한다.

Keywords

References

  1. 권귀영, 이동건 (2013). 개인적 특성이 스마트폰 이용의도에 미치는 영향에 관한 연구. 한국비즈니스리 뷰, 6(1), 85-107. (Kwon, G-Young, & Lee, D-Geon (2013). A study on the impact of personal characteristics on the use intent of smart-phone. Korean Business Review, 6(1), 85-107.)
  2. 김유진 (2012). 헬스케어 서비스를 위한 모바일 디바이스 및 어플리케이션 수용의도에 관한 탐색적 연구. 한국콘텐츠학회논문지, 12(9), 369-379. https://doi.org/10.5392/jkca.2012.12.09.369 (Kim, You-Jin (2012). Exploratory study on acceptance intention of mobile devices and applications for healthcare services. The Journal of the Korea Contents Association, 12(9), 369-379. https://doi.org/10.5392/jkca.2012.12.09.369)
  3. 김정욱, 김성일 (2012). 혁신확산이론에 따른 스마트폰 수용의도에 관한 연구. 한국 IT 서비스학회지, 11(1), 15-37. https://doi.org/10.9716/kits.2012.11.1.015 (Kim, Jeong-Wook, & Kim, Seong-Il (2012). A study on the acceptance intention for smart phone by the innovation diffusion theory: Focused on smart phone non-users. Journal of the Korea Society of IT Services, 11(1), 15-37. https://doi.org/10.9716/kits.2012.11.1.015)
  4. 박경은, 박주화, 조광수 (2014). 개인건강정보기록 활용의 변화 및 애플, 구글의 플랫폼 전략 전망. HCI 2015, 312-313. (Park, Kyoungeun, Park, Juhwa, & Cho, Kwangsu (2014). Changes in personal health record and forecasting for personal big data platform strategy of Apple and Google. HCI 2015, 312-313.)
  5. 박종태, 천승만, 김균열 (2012). U-헬스케어를 위한 스마트폰 활용 기술 동향 및 문제점 분석. 한국통신학회지(정보와 통신), 29(10), 45-54. (Park, Jong Tae, Cheon, Seung Man, & Kim, Kyun Yul (2012). An analysis of smartphone application technologies and their challenges for U-healthcare. Journal of the Korean Institute of Communication Sciences, Information & Communications Magazine, 29(10), 45-54.)
  6. 배세은, 김하연, 손현석, 이현실 (2011). 개인보건정보기록에 대한 인지도. 한국산학기술학회논문지, 12(4), 1703-1710. https://doi.org/10.5762/kais.2011.12.4.1703 (Bae, Se-Eun, Kim, Ha-Yeon, Son, Hyeon-S., & Rhee, Hyun-Sill (2011). Recognition of personal health record. Journal of the Korea Academia-Industrial Cooperation Society, 12(4), 1703- 1710. https://doi.org/10.5762/kais.2011.12.4.1703)
  7. 서영수, 이승신 (2014). 혁신확산이론에 따른 스마트폰 만족도와 추천의도 연구: 스마트폰 수용시점에 따른 비교고찰. 소비문화연구, 17(1), 89-111. (Seo, Young Soo, & Lee, Seung Sin (2014). A study on consumer satisfaction and willingness to recommend by the Innovation Diffusion Theory: Comparison on different technology adoption stages of smartphones. Consumption Culture Research, 17(1), 89-111.)
  8. 서효정, 홍현석, 김민정, 윤원정, 이태훈, 정지윤, ...조영태 (2015). 건강 어플리케이션 이용현황 및 지속적 사용요인. 한국 HCI 학회 논문지, 10(1), 19-27. (Suh, Hyojung, Hong, Hyeonseok, Kim, Minjeong, Yoon, Wonjung, Lee, Taehoon, Jung, Jiyun, … Cho, Youngtae (2015). Mhealth apps: The current status of usage and the factors of continuous use. Journal of the HCI Society of Korea, 10(1), 19-27.)
  9. 신현정, 이효중, 박준수, 조희령, 나민주, 차선희, ...박천웅 (2015). 건강 관련 애플리케이션의 현황 및 개선 방안. FDC 법제연구, 10(1), 1-9. (Shin, Hyun-jeong, Lee, Hyo-jung, Park, Jun-su, Jo, Hee-ryung, Na, Min-ju, Cha, Sun-hee, … Park, Chun-Woong (2015). The investigational study on health-related mobile application software and its improvement. Regulatory Research on Food, Drug and Cosmetic, 10(1), 1-9.)
  10. 주재욱 (2015). 10대 이용자들의 미디어 이용행태 분석. KISDI STAT Report, 15(4), 1-14. (Joo, Jae Wook (2015). An analysis of teenagers' media use behavior. KISDI STAT Report, 15(4), 1-14.)
  11. 하은비, 임채민, 최준호 (2014). 모바일 헬스케어 어플리케이션의 지속적 사용 결정 요인. HCI 2014, 645-650. (Ha, Eunbi, Lim, Chaemin, & Choi, Junho (2014). Factors affecting continuous use of mobile healthcare application. HCI 2014, 645-650.)
  12. Anderson, K., Burford, O., & Emmerton, L. (2016). Mobile health apps to facilitate self-care: A qualitative study of user experiences. PLoS ONE, 11(5), e0156164. https://doi.org/10.1371/journal.pone.0156164
  13. Cho, J., Park, D., & Lee, H. E. (2014). Cognitive factors of using health apps: Systematic analysis of relationships among health consciousness, health information orientation, ehealth literacy, and health app use efficacy. Journal of Medical Internet Research, 16(5), e125. https://doi.org/10.2196/jmir.3283
  14. Emani, S., Yamin, C. K., Peters, E., Karson, A. S., Lipsitz, S. R., Wald, J. S., … Bates, D. W. (2012). Patient perceptions of a personal health record: A test of the diffusion of innovation model. Journal of Medical Internet Research, 14(6), e150. https://doi.org/10.2196/jmir.2278
  15. Kerns, J. W., Krist, A. H., Longo, D. R., Kuzel, A. J., & Woolf, S. H. (2013). How patients want to engage with their personal health record: A qualitative study. BMJ Open, 3(7), e002931. https://doi.org/10.1136/bmjopen-2013-002931
  16. Krebs, P., & Duncan, D. T. (2015). Health app use among us mobile phone owners: A national survey. JMIR mHealth and uHealth, 3(4), e101. https://doi.org/10.2196/mhealth.4924
  17. Lajoie-Paquette, D. (2005). Diffusion theory. In K. Fisher, S. Erdelez, & L. McKechnie (Eds.), Theories of information behavior (pp. 118-122). Medford: Information Today.
  18. Lamonaca, F., Polimeni, G., Barbé, K., & Grimaldi, D. (2015). Health parameters monitoring by smartphone for quality of life improvement. Measurement, 73, 82-94. https://doi.org/10.1016/j.measurement.2015.04.017
  19. Lee, H. E., & Cho, J. (2016). What motivates users to continue using diet and fitness apps? Application of the uses and gratifications approach. Health Communication, 1-9. https://doi.org/10.1080/10410236.2016.1167998
  20. Mansour, E. (2016). Health informatics: The ownership and use of mobile medical applications among egyptian patients. Journal of Librarianship and Information Science, 0961000616637669. https://doi.org/10.1177/0961000616637669
  21. Murnane, E. L., Huffaker, D., & Kossinets, G. (2015, September). Mobile health apps: Adoption, adherence, and abandonment. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 261-264.
  22. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press.
  23. Zhang, X., Yu, P., Yan, J., & Spil, I. T. A. (2015). Using diffusion of innovation theory to understand the factors impacting patient acceptance and use of consumer e-health innovations: A case study in a primary care clinic. BMC Health Services Research, 15(1), 71. https://doi.org/10.1186/s12913-015-0726-2

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