Automated Real-Time Tool for Promoting Crisis Resource Use for Suicide Risk (ResourceBot): Development and Usability Study.
app
crisis resources
ecological momentary assessment
psychoeducation
real-time tool
self-report
suicidal behaviors
suicidal thoughts
Journal
JMIR mental health
ISSN: 2368-7959
Titre abrégé: JMIR Ment Health
Pays: Canada
ID NLM: 101658926
Informations de publication
Date de publication:
31 Oct 2024
31 Oct 2024
Historique:
received:
14
03
2024
accepted:
16
08
2024
revised:
05
08
2024
medline:
1
11
2024
pubmed:
1
11
2024
entrez:
31
10
2024
Statut:
epublish
Résumé
Real-time monitoring captures information about suicidal thoughts and behaviors (STBs) as they occur and offers great promise to learn about STBs. However, this approach also introduces questions about how to monitor and respond to real-time information about STBs. Given the increasing use of real-time monitoring, there is a need for novel, effective, and scalable tools for responding to suicide risk in real time. The goal of this study was to develop and test an automated tool (ResourceBot) that promotes the use of crisis services (eg, 988) in real time through a rule-based (ie, if-then) brief barrier reduction intervention. ResourceBot was tested in a 2-week real-time monitoring study of 74 adults with recent suicidal thoughts. ResourceBot was deployed 221 times to 36 participants. There was high engagement with ResourceBot (ie, 87% of the time ResourceBot was deployed, a participant opened the tool and submitted a response to it), but zero participants reported using crisis services after engaging with ResourceBot. The most reported reasons for not using crisis services were beliefs that the resources would not help, wanting to handle things on one's own, and the resources requiring too much time or effort. At the end of the study, participants rated ResourceBot with good usability (mean of 75.6 out of 100) and satisfaction (mean of 20.8 out of 32). This study highlights both the possibilities and challenges of developing effective real-time interventions for suicide risk and areas for refinement in future work.
Sections du résumé
BACKGROUND
BACKGROUND
Real-time monitoring captures information about suicidal thoughts and behaviors (STBs) as they occur and offers great promise to learn about STBs. However, this approach also introduces questions about how to monitor and respond to real-time information about STBs. Given the increasing use of real-time monitoring, there is a need for novel, effective, and scalable tools for responding to suicide risk in real time.
OBJECTIVE
OBJECTIVE
The goal of this study was to develop and test an automated tool (ResourceBot) that promotes the use of crisis services (eg, 988) in real time through a rule-based (ie, if-then) brief barrier reduction intervention.
METHODS
METHODS
ResourceBot was tested in a 2-week real-time monitoring study of 74 adults with recent suicidal thoughts.
RESULTS
RESULTS
ResourceBot was deployed 221 times to 36 participants. There was high engagement with ResourceBot (ie, 87% of the time ResourceBot was deployed, a participant opened the tool and submitted a response to it), but zero participants reported using crisis services after engaging with ResourceBot. The most reported reasons for not using crisis services were beliefs that the resources would not help, wanting to handle things on one's own, and the resources requiring too much time or effort. At the end of the study, participants rated ResourceBot with good usability (mean of 75.6 out of 100) and satisfaction (mean of 20.8 out of 32).
CONCLUSIONS
CONCLUSIONS
This study highlights both the possibilities and challenges of developing effective real-time interventions for suicide risk and areas for refinement in future work.
Identifiants
pubmed: 39481100
pii: v11i1e58409
doi: 10.2196/58409
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e58409Informations de copyright
©Daniel DL Coppersmith, Kate H Bentley, Evan M Kleiman, Adam C Jaroszewski, Merryn Daniel, Matthew K Nock. Originally published in JMIR Mental Health (https://mental.jmir.org), 31.10.2024.