Within-Conversations Sudden Changes in Expressed Suicide Risk During Crisis Counseling

Crisis counseling aims to reduce suicide risk in a single conversation. Although recent studies have suggested that suicide risk can change nonlinearly over time, few have examined moment-to-moment changes in brief conversations. In this study, we investigated sudden shifts in the expressed suicide risk during crisis chats. Using 2,110,114 messages from 81,569 text-based crisis-line chats, we adapted sudden-gain and -loss criteria from psychotherapy research to identify within-conversations sudden changes in suicide risk. A machine-learning model assessed message-level suicide-risk expression. We compared expressed-risk changes between the conversations with and without sudden shifts. Overall, sudden reduction in expressed risk occurred in 12.5% of chats, and 13.9% showed sudden elevation. Chats with sudden reduction demonstrated greater improvement at the end of the chat than those with sudden elevation or no sudden changes. This study supports and extends findings on the nonlinearity of suicide risk to a moment-to-moment scale.

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Publication Details

Journal
Clinical Psychological Science
Published
2026-11-11
DOI
https://doi.org/10.1177/21677026261482035
Primary Topic
Suicide and Self-Harm Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Within-Conversations Sudden Changes in Expressed Suicide Risk During Crisis Counseling

Vivek Srikumar, Zac E. Imel, Xinyao Zhang, Brent Michael Kious et al.
Clinical Psychological Science
Suicide and Self-Harm Studies
article

Within-Conversations Sudden Changes in Expressed Suicide Risk During Crisis Counseling

Vivek Srikumar, Zac E. Imel, Xinyao Zhang, Brent Michael Kious, Mattia Medina Grespan, Meghan Takahashi
article en

Abstract

Crisis counseling aims to reduce suicide risk in a single conversation. Although recent studies have suggested that suicide risk can change nonlinearly over time, few have examined moment-to-moment changes in brief conversations. In this study, we investigated sudden shifts in the expressed suicide risk during crisis chats. Using 2,110,114 messages from 81,569 text-based crisis-line chats, we adapted sudden-gain and -loss criteria from psychotherapy research to identify within-conversations sudden changes in suicide risk. A machine-learning model assessed message-level suicide-risk expression. We compared expressed-risk changes between the conversations with and without sudden shifts. Overall, sudden reduction in expressed risk occurred in 12.5% of chats, and 13.9% showed sudden elevation. Chats with sudden reduction demonstrated greater improvement at the end of the chat than those with sudden elevation or no sudden changes. This study supports and extends findings on the nonlinearity of suicide risk to a moment-to-moment scale.

Clinical Psychological Science
University of Washington (US), University of Utah (US), University of Utah Health Care (US), ARUP Laboratories (United States) (US)
Suicide and Self-Harm Studies
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