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당뇨 환자용 인공지능 복약관리 스마트워치의 사용자 경험

Patient Experiences with Artificial Intelligence-Based Smartwatch for Diabetes Medication Monitoring Service

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주제분류간호학

초록

Purpose: This qualitative study aimed to explore the experiences of patients with diabetes provided with medicationmonitoring using an artificial intelligence-based smartwatch. Methods: Giorgi's descriptive phenomenological methodologywas applied to collect and analyze data from November 9 to December 23, 2021. The study samples were recruitedby convenience sampling, and even patients with diabetes participated in in-depth interviews via video conference andtelephone calls or face-to-face visits. Results: Ten sub-themes and four themes were finally revealed. The four themeswere as follows: journey with unfamiliar devices, a less-than-acceptable smartwatch, insufficient functions and contentfor patients with diabetes to use, and efforts for regular medication behaviors and daily monitoring of patient’s healthconditions. Conclusion: To effectively manage diabetic conditions using digital healthcare technologies, nursinginterventions were needed to identify personal needs and consider technological, psychological, aesthetic, andsocioeconomic aspects of wearable devices.

Abstract

Purpose: This qualitative study aimed to explore the experiences of patients with diabetes provided with medicationmonitoring using an artificial intelligence-based smartwatch. Methods: Giorgi's descriptive phenomenological methodologywas applied to collect and analyze data from November 9 to December 23, 2021. The study samples were recruitedby convenience sampling, and even patients with diabetes participated in in-depth interviews via video conference andtelephone calls or face-to-face visits. Results: Ten sub-themes and four themes were finally revealed. The four themeswere as follows: journey with unfamiliar devices, a less-than-acceptable smartwatch, insufficient functions and contentfor patients with diabetes to use, and efforts for regular medication behaviors and daily monitoring of patient’s healthconditions. Conclusion: To effectively manage diabetic conditions using digital healthcare technologies, nursinginterventions were needed to identify personal needs and consider technological, psychological, aesthetic, andsocioeconomic aspects of wearable devices.

참고문헌 (30)

  1. American Diabetes Association, "Economic costs of diabetes in the US in 2012", Diabetes Care, 36(4), pp.1033~1046 (2013)[DOI]
  2. 변민수, "스마트워치 구매 소비자들의 심성 모형에 관한 연구", 주관성 연구, 29(29), pp.77~98 (2014), 한국주관성연구학회
  3. Chang, B. L., "Bridging the digital divide : Reaching vulnerable populations", Journal of the American Medical Informatics Association, 11(6), pp.448~457 (2004)[DOI]
  4. Dankwa-Mullan, I., "Transforming diabetes care through artificial intelligence : The future is here", Population Health Management, 22(3), pp.229~242 (2019)[DOI]
  5. Do, Y. I., "An exploratory study on factors affecting the usability and durability of wearable devices for health care : A review of user experience from the perspective of technology, psychology, and interaction convergence", Communications of the Korean Institute of Information Scientists and Engineers, 32(11), pp.37~45 (2014)
  6. Dong, J. Y., "User experience analysis trend of smart wearable devices", Korea Institute of Communication Sciences, 36(4), pp.3~9 (2019)
  7. Emanuel, E. J., "Artificial intelligence in health care : Will the value match the hype?", Journal of the American Medical Association, 321(23), pp.2281~2282 (2019)[DOI]
  8. Fagherazzi, G., "Digital diabetes : Perspectives for diabetes prevention, management and research", Diabetes & Metabolism, 45(4), pp.322~329 (2019)[DOI]
  9. Giorgi, A., "The theory, practice, and evaluation of the phenomenological method as a qualitative research procedure", Journal of Phenomenological Psychology, 28(2), pp.235~260 (1997)
  10. Greenhalgh, T., "Covid-19: A remote assessment in primary care", British Medical Journal, 368 (2020)[DOI]
  11. Jeong, S, "Telephone support and telemonitoring for low-income older adults", Research in Gerontological Nursing, 11(4), pp.198~206 (2018)[DOI]
  12. 정수용, "스마트워치를 활용한 인공지능 기반의 복약행동 모니터링 시스템", 한국정보기술학회논문지, 18(8), pp.125~133 (2020), 한국정보기술학회[DOI]
  13. Kim, B. H., "A comparative study of phenomenological research methods : Focusing on Giorgi, Colaizzi, Van Kaam method", Journal of Korean Academy of Nursing, 29(6), pp.1208~1220 (1999)
  14. "Diabetes fact sheet in Korea 2020" (2020)[URL]
  15. 이재광, "웨어러블 디바이스의 채택 의도에 영향을 미치는 요인: 스마트 워치를 중심으로", 인터넷전자상거래연구, 16(1), pp.195~213 (2016), 한국인터넷전자상거래학회
  16. 이종오, "기능적 속성을 고려한 기술수용모형(TAM)의 확장연구:휴대폰의 채택 사례를 중심으로", Journal of Information Technology Applications & Management, 13(1), pp.39~66 (2006), 한국데이터전략학회
  17. 이정우, "개인과 기기특성이 스마트 워치 사용의도에 미치는 영향에 관한 실증적 연구", 한국정보기술학회논문지, 12(11), pp.201~214 (2014), 한국정보기술학회[DOI]
  18. Li, J., "Application of artificial intelligence in diabetes education and management : Present status and promising prospect", Frontiers in Public Health, 8, pp.173~ (2020)[DOI]
  19. Lincoln, Y. S., "Naturalistic inquiry" (1985), SAGE Publications
  20. Milosavljevic, A., "Community pharmacist-led interventions and their impact on patients'medication adherence and other health outcomes : A systematic review", International Journal of Pharmacy Practice, 26(5), pp.387~397 (2018)[DOI]
  21. "Comprehensive plan for New Deal policy in South Korea" (2020)[URL]
  22. Musacchio, N., "Artificial intelligence and big data in diabetes care : A position statement of the Italian Association of Medical Diabetologists", Journal of Medical Internet Research, 22(6), pp.e16922~ (2020)[DOI]
  23. 박영임, "지역사회 노인의 약물복용실태와 약물관리 프로그램의 효과", 지역사회간호학회지, 25(3), pp.170~179 (2014), 한국지역사회간호학회[DOI]
  24. Ross, D. A, "Wearable interfaces for orientation and wayfinding", proceedings of the fourth international ACM conference on assistive technologies, pp.193~200 (2000)
  25. 서수미, "당뇨병 환자의 인슐린 자가 주사 및 자가 혈당측정과 관련된 공포와 혈당조절 및 당뇨병 자가 관리상태", Korean Journal of Family Medicine, 29(10), pp.768~780 (2008), 대한가정의학회
  26. 심강희, "자가혈당 측정결과기반 당뇨교육프로그램이 제2형 당뇨병환자의 혈당조절에 미치는 효과", 한국간호교육학회지, 19(2), pp.127~136 (2013), 한국간호교육학회[DOI]
  27. White book 2014 for wearable device industry, "Shim, S.", KT Economic Management Institute, ~, pp.Digieco Report, 1 (2014)
  28. 서창교, "개인 특성이 인터넷 쇼핑몰 사용의도에 미치는 영향", Asia Pacific Journal of Information Systems, 14(3), pp.1~22 (2004), 한국경영정보학회
  29. Verloo, H., "Artificial intelligence and big data in diabetes care : A position statement of the Italian Association of Medical Diabetologists", Age and Ageing, 46(5), pp.747~754 (2017)[DOI]
  30. Yoon, S. J., "The relationships among health literacy, medication adherence and self-care performance of diabetes mellitus patients", Health & Nursing, 29(1), pp.27~38 (2017)

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