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

Area of Science:

• Gerontology
• Digital Health
• Mental Health Technology

Background:

• Depression affects a significant portion of older adults, with loneliness and social isolation as key risk factors.
• Mobile applications show promise in depression management for the general population.
• Older adults have unique needs regarding accessibility and content for depression self-care interventions.

Purpose of the Study:

• To systematically identify interactive depression self-care applications tailored for older adults.
• To evaluate the applicability of existing depression self-care applications to the specific needs of older adult users.

Main Methods:

• A systematic search for English and Chinese interactive mental health apps for depression self-care was conducted across multiple databases and app stores.
• An assessment rubric was developed based on literature review, covering app characteristics, content relevance to older adults, and technical aspects like accessibility and privacy.
• The search focused on Android and iOS platforms.

Main Results:

• No depression self-care apps were found to be specifically designed for older adults.
• Of the 23 identified apps, most incorporated cognitive behavioral therapy, mood monitoring, or journaling, and had privacy policies.
• Significant limitations were noted in clinical and technical features, including lack of content relevant to older adults' specific issues and common accessibility barriers for users with impairments.

Conclusions:

• There is a critical gap in the market for depression self-care mobile applications designed for older adults.
• Existing apps have limited suitability for this demographic due to content and technical constraints.
• Future depression self-care apps should integrate age-specific content (e.g., grief, loss), online communities, and enhanced accessibility features.