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  4. Safety Planning for Suicide Prevention: Insights from the SERO App
 

Safety Planning for Suicide Prevention: Insights from the SERO App

URI
https://arbor.bfh.ch/handle/arbor/45062
Version
Published
Identifiers
10.3233/SHTI250078
Date Issued
2025-04-13
Author(s)
Denecke, Kerstin  
Gabarron, Elia
Type
Article
Language
English
Subjects

Suicide prevention

Suicide

Safety planning

Topic modelling

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.
DOI
https://doi.org/10.24451/dspace/11781
Publisher DOI
10.3233/SHTI250078
ISSN
1879-8365
Publisher URL
https://ebooks.iospress.nl/doi/10.3233/SHTI250078
Organization
Technik und Informatk  
Institute for Patient-centered Digital Health  
Volume
323
Publisher
IOS Press
Submitter
Denecke, Kerstin
Citation apa
Denecke, K., & Gabarron, E. (2025). Safety Planning for Suicide Prevention: Insights from the SERO App (Vol. 323). IOS Press. https://doi.org/10.24451/dspace/11781
File(s)
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open access

Name

SERO_SafetyPlanning_ICMITH.pdf

Description
Version published
License
Attribution-NonCommercial 4.0 International
Size

691.34 KB

Format

Adobe PDF

Checksum (MD5)

159629748d8e137c1de2d4d85e484e32

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