J Korean Biol Nurs Sci.  2025 Feb;27(1):38-48. 10.7586/jkbns.24.034.

The effect of an internet of things-based mobile health management application for older adults depending on user engagement in South Korea: a secondary analysis of a quasi-experimental study

Affiliations
  • 1Mo-Im Kim Nursing Research Institute, College of Nursing, Yonsei University, Seoul, Korea
  • 2College of Nursing and Brain Korea 21 FOUR Project, Yonsei University, Seoul, Korea
  • 3Research Institute of AI and Nursing Science, College of Nursing, Gachon University, Incheon, Korea
  • 4College of Nursing, Ewha Womans University, Seoul, Korea

Abstract

Purpose
This study aimed to evaluate the effect of the TouchCare system, a digital health management system utilizing the internet of things (IoT), based on the usage levels of older adults. Methods: This is a secondary analysis of data from a quasi-experimental study examining the effects of an IoT-based digital healthcare system. Participants were equipped with the TouchCare application, a touch-tag, and context-aware artificial intelligence. Data on cognitive function, frailty, depressive symptoms, nutritional status, and fall efficacy were collected at baseline and after six months of using the system. The participants were divided into a high-engagement group (n = 22) and a low-engagement group (n = 24) based on how many days they used the application during the study. We used descriptive statistics, the paired t-test, the independent-samples t-test, and two-way mixed analysis of variance. Results: In total, 46 participants completed the evaluations (mean age, 76.6 years). Two-way mixed analysis of variance revealed no significant group-by-time interaction for cognitive function (p = .184), frailty (p = .338), depressive symptoms (p = .543), and nutritional status (p = .589). There was no significant difference in fall efficacy between the two groups (p = .091). The high-engagement group exhibited significant improvements in visuospatial and executive functions on the Montreal Cognitive Assessment (p = .029). Conclusion: The IoT-based mobile health management application demonstrated benefits in improving cognitive health among older adults. The findings suggest that active engagement with healthcare technology can positively affect health in this population, emphasizing the need for continuous support from nurses as health providers.

Keyword

Aged; Artificial intelligence; Mobile applications; Delivery of health care; 노인; 인공지능; 모바일 애플리케이션; 건강 서비스 제공
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