Safety Planning for Suicide Prevention: Insights from the SERO App

Safety planning is an intervention that demonstrated to be successful in help individuals self-manage suicidal crises. The SERO suicide prevention app supports this safety planning in a digital manner. The objective of this paper is to identify the specific components of safety plans and thereby guiding the design of digital solutions in a way that it supports individuals' needs. We analysed the safety plans of all 1848 at risk users registered with the SERO app by applying BERTopic and Google's Gemma-2 Large Language Model to identify themes and topics mentioned in the safety plans. The analysis of the safety plans revealed that users frequently cited family and loved ones as motivations to live, identified certain physical signs and emotions as warning signs, and reported social contact and activities as coping strategies. Digital solutions, such as apps, as well as other traditional suicide prevention interventions could enhance their efforts by supplementing and refining the intervention with personalized support.

Publication Details

Journal
BFH: ARBOR
Published
2025-04-13
DOI
https://doi.org/10.24451/dspace/11781
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safety Planning for Suicide Prevention: Insights from the SERO App

BFH: ARBOR
Suicide and Self-Harm Studies
article

Safety Planning for Suicide Prevention: Insights from the SERO App

article en

Abstract

Safety planning is an intervention that demonstrated to be successful in help individuals self-manage suicidal crises. The SERO suicide prevention app supports this safety planning in a digital manner. The objective of this paper is to identify the specific components of safety plans and thereby guiding the design of digital solutions in a way that it supports individuals' needs. We analysed the safety plans of all 1848 at risk users registered with the SERO app by applying BERTopic and Google's Gemma-2 Large Language Model to identify themes and topics mentioned in the safety plans. The analysis of the safety plans revealed that users frequently cited family and loved ones as motivations to live, identified certain physical signs and emotions as warning signs, and reported social contact and activities as coping strategies. Digital solutions, such as apps, as well as other traditional suicide prevention interventions could enhance their efforts by supplementing and refining the intervention with personalized support.

BFH: ARBOR
Good health and well-being
Openalex Percentile: Top 41%
Suicide and Self-Harm Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.