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Functionality of Top-Rated Mobile Apps for Depression: Systematic Search and Evaluation.

Chengcheng QuCorina SasClaudia Daudén RoquetGavin Doherty
Published in: JMIR mental health (2020)
Currently available top-ranked apps for depression on the major marketplaces provide diverse functionality to benefit users across a range of age groups; however, guidelines and frameworks are still needed to ensure users' privacy and safety while using them. Suggestions include clearly defining the age of the target population and explicit disclosure of the sharing of users' sensitive data with third parties. In addition, we found an opportunity for apps to better leverage digital affordances for mitigating harm, for personalizing interventions, and for tracking multimodal content. The study further demonstrated the need to consider potential risks while using depression apps, including the use of nonvalidated screening tools, tracking negative moods or thinking patterns, and exposing users to negative emotional expression content.
Keyphrases
  • depressive symptoms
  • sleep quality
  • health information
  • big data
  • poor prognosis
  • healthcare
  • human health
  • clinical practice
  • pain management
  • long non coding rna
  • binding protein
  • deep learning