Validation and usability study of the framework for a user needs-centered mHealth app selection

Area of Science:

• Digital Health
• mHealth App Development
• Health Informatics

Background:

• Current mHealth app selection relies on rankings and ratings, which may not align with individual healthcare needs.
• The initial Method of App Selection based on User Needs (MASUN) 1.0 was developed but required improvements.

Purpose of the Study:

• To simplify and enhance MASUN 1.0, creating MASUN 2.0.
• To verify the feasibility and usability of the improved MASUN 2.0 framework.

Main Methods:

• MASUN 1.0 was modified through expert consultation (Phase 1) and validated by experts (Phase 2).
• MASUN 2.0 underwent feasibility testing and usability evaluation using menstrual health apps (Phase 3).
• 2377 menstrual apps were screened, with top candidates evaluated by clinical experts, app experts, and users.

Main Results:

• MASUN 2.0 was developed with improved simplicity, usability, and applicability, requiring less time and fewer tasks.
• The best app selected via MASUN 2.0 enhanced users' understanding of health patterns and syndromes.
• Users reported higher scores for impact, usefulness, and ease of use for the MASUN 2.0-selected app.

Conclusions:

• MASUN 2.0 was successfully developed and validated for content, feasibility, and usability.
• The MASUN 2.0 framework aids health consumers in selecting apps that effectively address health discomfort.
• Future work should focus on automating MASUN for diverse conditions and stakeholders to promote digital health equity.