ArticleJMIR mHealth and uHealth2020
Mobile App Use for Insomnia Self-Management in Urban Community-Dwelling Older Korean Adults: Retrospective Intervention Study.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Exploring the Role of Mobile Apps for Insomnia in Depression: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Potential Mobile Health Applications for Improving the Mental Health of the Elderly: A Systematic Review.Clinical interventions in aging · 2023Pooled it
- Mobile health applications for older adults: a systematic review of interface and persuasive feature design.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Effectiveness of Information and Communication Technology-Based Cognitive Behavioral Therapy Using the Smart Sleep App on Insomnia in Older Adults: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Designing digital mental health interventions for older adults: a scoping review.NPJ digital medicine · 2026Article
- Associations between eHealth literacy and 24-hour movement behaviors in older adults: the mediating and moderating roles of self-efficacy.Frontiers in medicine · 2026Article
- Therapeutic Guidelines for the Self-Management of Major Depressive Disorder: Scoping Review.Interactive journal of medical research · 2025Review
- Redefining the Successful Aging of Veterans: A Scoping Review.The Gerontologist · 2024Article
- Use of mHealth Technologies to Increase Sleep Quality among Older Adults: A Scoping Review.Clocks & sleep · 2024Article
- Understanding the multilevel factors influencing the implementation of digital health interventions for supportive care in Adolescents and Young Adult (AYA) cancer survivorship: determinants of adopting mindfulness-based mobile applications.Implementation science communications · 2024Article
- Article
- User-Friendly Chatbot to Mitigate the Psychological Stress of Older Adults During the COVID-19 Pandemic: Development and Usability Study.JMIR formative research · 2024Article
- Information and Communication Technology-Based Application for Cognitive Behavioral Therapy among Community-Dwelling Older Adults with Insomnia: Development and Validation Study.Healthcare (Basel, Switzerland) · 2024Article
- Problems and Barriers Related to the Use of Digital Health Applications: Scoping Review.Journal of medical Internet research · 2023Article
- Usability evaluation of mHealth apps for elderly individuals: a scoping review.BMC medical informatics and decision making · 2022Article
- A scoping review of mobile apps for sleep management: User needs and design considerations.Frontiers in psychiatry · 2022Article
- Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption.Healthcare (Basel, Switzerland) · 2021Article
- Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs an evidence-based psychotherapy for treating insomnia, cognitive behavioral therapy for insomnia (CBT-I), which helps people with sleep problems to change their unhelpful sleep-related beliefs and habits, has been well-established in older adults. Recently, the utilization of mobile CBT-I apps has been getting attention from mental health professionals and researchers; however, whether mobile CBT-I apps are usable among older users has yet to be determined.
objectiveThe aims of this study were to explore the relationships between subjective sleep quality and subjective memory complaints and depressive symptoms; to explore the relationship between perceived difficulty in mobile app use and usability of the mobile phone-based self-help CBT-I app, named MIND MORE, in urban community-dwelling Korean older adults; to compare changes in subjective sleep quality from pre-intervention to post-intervention, during which they used the mobile app over a 1-week intervention period; and evaluate adherence to the app.
methodsDuring the 2-hour training program delivered on 1 day titled "Overcoming insomnia without medication: How to use the 'MIND MORE' mobile app for systematic self-management of insomnia" (pre-intervention), 41 attendants were asked to gain hands-on experience with the app facilitated by therapists and volunteer workers. They were then asked to complete questionnaires on sociodemographic characteristics, subjective evaluation of mental health status (ie, depression, memory loss and impairment, and sleep problems), and app usability. For the 1-week home-based self-help CBT-I using the app (post-intervention), 9 of the 41 program attendants, who had already signed up for the pre-intervention, were guided to complete the given questionnaires on subjective evaluation of sleep quality after the 1-week intervention, specifically 8 days after the training program ended.
resultsDue to missing data, 40 of 41 attendants were included in the data analysis. The main findings of this study were as follows. First, poor subjective sleep quality was associated with higher ratings of depressive symptoms (40/40; ρ=.60, P<.001) and memory complaints (40/40; ρ=.46, P=.003) at baseline. Second, significant improvements in subjective sleep quality from pre-intervention to post-intervention were observed in the older adults who used the MIND MORE app only for the 1-week intervention period (9/9; t
conclusionsThis study provides empirical evidence that the newly developed MIND MORE app not only is usable among older users but also could improve subjective sleep quality after a 1-week self-help intervention period.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.