Seon Heui Lee

This study developed an information and communication technology-based mobile application to administer cognitive behavioral therapy to community-dwelling older adults with insomnia. First, the content of the application was determined through a systematic review and preference survey. Preference data on the perception, needs, and preference for non-face-to-face service content were collected from 15 July 2021 to 31 August 2021 from 100 community-dwelling older adults aged 65 years and older. In the design stage, the structure and function of the application were determined, and an interface was designed. The application was developed in conjunction with design experts and programmers using Android Studio software (Android 9). Usability tests were conducted during the implementation stage, followed by an evaluation stage. The evaluation revealed that the application’s structure and functions should comprise sleep information, sleep-habit improvement, sleep assistance, video, real-time counseling, and exercise services. These elements were finalized after receiving the results of a preference analysis and advice from an advisory panel of experts in different fields. The developed application was rated with a score of four or higher in all areas. This study successfully developed, implemented, and evaluated a new mobile application called Smart Sleep for community-dwelling older adults with insomnia.

Background Quality of life for the elderly has become an important issue, and services aimed at improving it have typically been provided face-to-face. However, coronavirus disease 2019 has limited the use of face-to-face services, and the need to convert such systems to online interfaces has emerged. Objective This study evaluates the effectiveness of a non-face-to-face comprehensive elderly care application called “Smart Silver Care.” Methods This study was designed as a randomized controlled trial. Sixty community-dwelling elderly individuals were randomly assigned to experimental and control groups in a 1:1 ratio. The participants participated in the “Smart Silver Care” intervention using a tablet and smartwatch based on the programs we provided. The participants performed five tasks, five days a week, consisting of physical, emotional, and cognitive programs. Participants could communicate with the researchers in real-time from their homes, and the researchers could remotely supervise their performance. Results We found positive effects on the relevant scales testing fall risk (Activities-Specific Balance Confidence [ABC] Scale, p = 0.028; Timed Up and Go [TUG] test, p = 0.001). However, there was no time × group interaction between the experimental and control groups on the relevant scales for depression and quality of life (Short Form-Geriatric Depression Scale [SGDS]-K: p = 0.225; EuroQol five-dimension five-level [EQ-5D-5L], p = 0.172). While the SGDS-K and EQ-5D-5L did not show statistical significance, we found improvement trends in the experimental group. Conclusions The findings of this study show that Smart Silver Care significantly improved the participants’ TUG and ABC scores in community-dwelling elderly, and a qualitative evaluation confirmed that it could be conveniently used by the elderly. Thus, Smart Silver Care offers a feasible intervention to improve the quality of life of the elderly, including physical aspects.