Depression Self-Care Apps' Characteristics and Applicability to Older Adults: Systematic Assessment.

Yin, Ruoyu; Rajappan, Dakshayani; Martinengo, Laura; Chan, Frederick H F; Smith, Helen; Griva, Konstadina; Subramaniam, Mythily; Tudor Car, Lorainne

Abstract

Depression affects 32% of older adults. Loneliness and social isolation are common risk factors for depression in older adults. Mobile apps can connect users and are also effective in depression management in the general population. However, older adults have specific needs in terms of the content of depression self-care interventions and their accessibility. It remains unknown whether existing apps for depression self-care are applicable to older adults. The initial aim of this assessment was to systematically identify interactive depression self-care apps specifically designed for older adults. As we did not find any, we assessed the applicability of existing depression self-care apps to the needs of older adult users. Using an established app assessment methodology, we searched for Android and iOS interactive mental health apps providing self-care for depression in English and Chinese in the 42Matters database, Chinese Android app stores, and the first 10 pages of Google and Baidu. We developed an assessment rubric based on extensive revision of the literature. The rubric consisted of the following sections: general characteristics of the apps (eg, developer, platform, and category), app content (eg, epidemiology and risk factors of depression in older adults, techniques to improve mood and well-being), and technical aspects (eg, accessibility, privacy and confidentiality, and engagement). We identified 23 apps (n=19, 82.6%, English and n=4, 17.4%, Chinese apps), with 5 (21.7%) iOS-only apps, 3 (13%) Android-only apps, and 15 (65.2%) apps on both platforms. None specifically targeted older adults with depression. All apps were designed by commercial companies and were free to download. Most of the apps incorporated cognitive behavior therapy, mood monitoring, or journaling. All but 3 (13%) apps had a privacy and confidentiality policy. In addition, 14 (60.9%) apps covered depression risk factors in older adults, and 3 (13%) apps delivered information about depression epidemiology in older adults via a chatbot. Furthermore, 17 (73.9%) apps mentioned other topics relevant to older adults, such as pain management, grief, loneliness, and social isolation. Around 30% (n=7) of the apps were supported by an online forum. Common accessibility issues included a lack of adaptations for users with visual or hearing impairments and incompatibility with larger font sizes in the phone settings. There are no depression apps developed specifically for older adults. Available mobile apps have limited applicability to older adults in terms of their clinical and technical features. Depression self-care apps should aim to incorporate content relevant to older adults, such as grief and loss; include online communities; and improve accessibility to adapt to potential health impairments in older adults. [Abstract copyright: ©Ruoyu Yin, Dakshayani Rajappan, Laura Martinengo, Frederick H F Chan, Helen Smith, Konstadina Griva, Mythily Subramaniam, Lorainne Tudor Car. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 21.02.2025.]

Citation

Yin, R., Rajappan, D., Martinengo, L., Chan, F. H. F., Smith, H., Griva, K., …Tudor Car, L. (in press). Depression Self-Care Apps' Characteristics and Applicability to Older Adults: Systematic Assessment. Journal of Medical Internet Research, 27, Article e56418. https://doi.org/10.2196/56418

• Journal Article Type: Article
• Acceptance Date: Jan 27, 2025
• Online Publication Date: Feb 21, 2025
• Deposit Date: Mar 13, 2025
• Journal: Journal of medical Internet research
• Print ISSN: 1438-8871
• Electronic ISSN: 1438-8871
• Publisher: JMIR Publications
• Peer Reviewed: Peer Reviewed
• Volume: 27
• Article Number: e56418
• DOI: https://doi.org/10.2196/56418
• Keywords: depression, Aged, systematic assessment, mental health, Male, mobile apps, older adults, mHealth, mobile health, mental illness, Humans, online communities, mental disorders, smartphone, behaviour, Mobile Applications, Android app, application, mobile interventions, app, self-care, mood monitoring, assessment, mobile application, elder, adaptations, effectiveness, Depression - therapy - psychology, elderly, Self Care - methods, impairments, Female, therapy, mental health apps, Aged, 80 and over
• Public URL: https://keele-repository.worktribe.com/output/1105479