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Evaluating Commercially Available Mobile Apps for Depression Self-Management.

Annie Myers1, Lewis Chesebrough2, Ruixuan Hu1

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Summary
This summary is machine-generated.

Many adults with depression lack treatment. Mobile health apps show potential for self-management and engagement, with over half demonstrating acceptable quality for mental health outcomes.

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Area of Science:

  • Digital health
  • Mental health technology
  • Clinical psychology

Background:

  • Clinical depression impacts millions of US adults, with a significant portion untreated.
  • Unmanaged symptoms and treatment barriers highlight the need for accessible mental health solutions.

Purpose of the Study:

  • To systematically review and appraise the quality of mobile health applications designed for depression self-management.
  • To evaluate the potential of these apps in complementing traditional treatment and improving patient outcomes.

Main Methods:

  • A systematic review of depression-focused mobile apps across three major app stores.
  • Apps were assessed using the Mobile Application Rating Scale (MARS), a healthcare informatics functionality score, and depression-specific features.
  • Quality was evaluated based on established criteria and scoring systems.

Main Results:

  • A wide range of app quality was observed, with 74% achieving acceptable quality.
  • Over 30% of apps scored 4.0 or higher on the MARS, indicating high potential.
  • Key features for depression self-management were inconsistently implemented across apps.

Conclusions:

  • Mobile health apps for depression demonstrate potential to enhance self-management and treatment engagement.
  • High-quality apps can positively influence mental health outcomes for individuals with depression.
  • Further development and rigorous evaluation are needed to optimize app effectiveness.