Journal of Korean Gerontological Nursing (노인간호학회지)

Korean Gerontological Nursing (한국노인간호학회)
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Developing Geriatric Nursing Competency Using Information and Communication Technology: Focusing on a Case of Depression Assessment

ICT 기반 노인간호 역량 개발: 우울증 측정 사례를 중심으로

  • Kim, Heejung (College of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University) ;
  • Hong, Soyun (College of Nursing, Yonsei University) ;
  • Kwon, Sooyoung (College of Nursing, Yonsei University) ;
  • Kim, Namhee (College of Nursing, Yonsei University)
  • 김희정 (연세대학교 간호대학.김모임간호학연구소) ;
  • 홍소윤 (연세대학교 간호대학) ;
  • 권수영 (연세대학교 간호대학) ;
  • 김남희 (연세대학교 간호대학)
  • Received : 2018.08.31
  • Accepted : 2018.11.12
  • Published : 2018.12.31
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Abstract

Purpose: The aim of this study was to describe problems and solutions for older adults living alone and using wearable devices to report depressive moods in daily life. In addition, gerontology nurses' competencies and strategies were discussed based on lessons learned from the observational study. Methods: A hybrid method was used, combining literature review and content analyses based on interviews with 53 participants and observations done by the research team. Results: Main issues and relevant strategies were identified in terms of (1) applicability of information and communications technology (ICT) devices for older adults, (2) feasibility of older adults' use of ICT devices, (3) integration of ICT devices into daily life, and (4) relevant issues when older adults use ICT. Important roles and competencies were discussed regarding general and gerontology aspects of ICT. Conclusion: Findings indicate that a wearable device is feasible to measure daily depressive moods in older adults living alone in community settings. To extend our research protocol to practice, gerontology nurses must adequately prepare to meet emerging health care trends and end users' needs for ICT-based nursing. It is necessary to develop diverse educational programs and active involvement in research and design of relevant devices and programs.

Keywords

Acknowledgement

Supported by : 한국연구재단

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  1. Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone vol.7, pp.10, 2018, https://doi.org/10.2196/14149