Evidence map›Paper›PMID 38546711›Full record

SynthesisJMIR mental health2024

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

Kim Gryglewicz, Victoria L Orr, Marissa J McNeil, Lindsay A Taliaferro, Serenea Hines, Taylor L Duffy, Pamela J Wisniewski

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. Developing a Safety Planning Smartphone App to Support Adolescents' Self-Management During Emotional Crises.International journal of environmental research and public health · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kim Gryglewicz *School of Social Work, University of Central Florida, Orlando, FL, United States.ORCID 0000-0003-4395-2354
Victoria L Orr *Center for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States.ORCID 0009-0009-6556-2577
Marissa J McNeil *Center for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States.ORCID 0000-0001-8881-1649
Lindsay A TaliaferroDepartment of Population Health Sciences, University of Central Florida, Orlando, FL, United States.ORCID 0000-0003-2856-0897
Serenea HinesCenter for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States.ORCID 0000-0002-7085-9190
Taylor L DuffyCenter for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States.ORCID 0000-0002-2372-7507
Pamela J Wisniewski *Department of Computer Science, Vanderbilt University, Nashville, TN, United States.ORCID 0000-0002-6223-1029

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSuicide safety planning is an evidence-based approach used to help individuals identify strategies to keep themselves safe during a mental health crisis. This study systematically reviewed the literature focused on mobile health (mHealth) suicide safety planning apps.

objectiveThis study aims to evaluate the extent to which apps integrated components of the safety planning intervention (SPI), and if so, how these safety planning components were integrated into the design-based features of the apps.

methodsFollowing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we systematically analyzed 14 peer-reviewed studies specific to mHealth apps for suicide safety planning. We conducted an analysis of the literature to evaluate how the apps incorporated SPI components and examined similarities and differences among the apps by conducting a comparative analysis of app features. An independent review of SPI components and app features was conducted by downloading the available apps.

resultsMost of the mHealth apps (5/7, 71%) integrated SPI components and provided customizable features that expanded upon traditional paper-based safety planning processes. App design features were categorized into 5 themes, including interactive features, individualized user experiences, interface design, guidance and training, and privacy and sharing. All apps included access to community supports and revisable safety plans. Fewer mHealth apps (3/7, 43%) included interactive features, such as associating coping strategies with specific stressors. Most studies (10/14, 71%) examined the usability, feasibility, and acceptability of the safety planning mHealth apps. Usability findings were generally positive, as users often found these apps easy to use and visually appealing. In terms of feasibility, users preferred using mHealth apps during times of crisis, but the continuous use of the apps outside of crisis situations received less support. Few studies (4/14, 29%) examined the effectiveness of mHealth apps for suicide-related outcomes. Positive shifts in attitudes and desire to live, improved coping strategies, enhanced emotional stability, and a decrease in suicidal thoughts or self-harm behaviors were examined in these studies.

conclusionsOur study highlights the need for researchers, clinicians, and app designers to continue to work together to align evidence-based research on mHealth suicide safety planning apps with lessons learned for how to best deliver these technologies to end users. Our review brings to light mHealth suicide safety planning strategies needing further development and testing, such as lethal means guidance, collaborative safety planning, and the opportunity to embed more interactive features that leverage the advanced capabilities of technology to improve client outcomes as well as foster sustained user engagement beyond a crisis. Although preliminary evidence shows that these apps may help to mitigate suicide risk, clinical trials with larger sample sizes and more robust research designs are needed to validate their efficacy before the widespread adoption and use.

Indexed as

Mobile ApplicationsSelf-Injurious BehaviorSuicideTelemedicineHumansSuicidal Ideationdigital healtheHealthmHealth appsmobile healthPreferred Reporting Items for Systematic Reviews and Meta-AnalysesPRISMAsuicide preventionsuicide safety planningsystematic review

Identifiers

PMID38546711
PMCPMC11009854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.