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Translating Suicide Safety Planning Components Into the Design of mHealth App Features: Systematic Review.

Kim Gryglewicz1, Victoria L Orr2, Marissa J McNeil2

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Mobile health (mHealth) apps for suicide safety planning often integrate evidence-based components, offering customizable features beyond paper methods. Further research is needed to validate their effectiveness in mitigating suicide risk.

Keywords:
PRISMAPreferred Reporting Items for Systematic Reviews and Meta-Analysesdigital healtheHealthmHealth appsmobile healthsuicide preventionsuicide safety planningsystematic review

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Area of Science:

  • Digital mental health
  • Suicidology
  • Human-computer interaction

Background:

  • Suicide safety planning is an evidence-based crisis intervention.
  • Mobile health (mHealth) apps are increasingly explored for delivering safety planning.
  • This review systematically examines mHealth apps for suicide safety planning.

Purpose of the Study:

  • To evaluate the integration of safety planning intervention (SPI) components in mHealth apps.
  • To analyze how SPI components are incorporated into app design features.
  • To compare features and user experiences across different mHealth safety planning apps.

Main Methods:

  • Systematic literature review following PRISMA guidelines.
  • Analysis of 14 peer-reviewed studies on mHealth suicide safety planning apps.
  • Comparative analysis of app features and independent app testing.

Main Results:

  • Most apps (71%) integrated SPI components with customizable features.
  • App design themes included interactivity, personalization, and usability.
  • Usability and feasibility were generally positive, especially during crises.
  • Effectiveness studies showed potential for improved attitudes and reduced suicidal ideation.

Conclusions:

  • Collaboration between researchers, clinicians, and designers is crucial for effective mHealth safety planning apps.
  • Further development is needed for features like lethal means guidance and interactive elements.
  • Clinical trials with robust designs are necessary to confirm efficacy before widespread adoption.