Seeking Help from Chatbots for Suicide Thoughts: Associations with Other Help Seeking Sources and Mental Health Symptoms
Heo, R.; McBride, L.; Parrish, E.; Fulginiti, A.; Taylor, C.; Depp, C.
Show abstract
Background: Generative AI is evolving at a rapid pace, and many individuals are utilizing chatbots for mental health support. The safety of chatbots amid suicide disclosures is a major public health focus. However, the rate and correlates of intentions to seek help from chatbots for suicide thoughts is unknown. Objective: We sought to understand intentions to seek help from chatbots for suicide thoughts, compared to informal, formal, and anonymous online sources. Methods: Participants with clinically significant depression or anxiety (N=58) completed the General Help Seeking Questionnaire regarding help-seeking intentions for suicide thoughts and general emotional problems. Two questions were added to assess intentions to seek help from chatbots and anonymous online sources. Wilcoxon tests were used to compare intentions to use chatbots with intentions to use anonymous online sources and with groupings of informal (e.g., friends, family) and formal (e.g., therapist, general practitioner) sources. Kendall's correlations were used to examine correlations among groupings and individual informal and formal sources, and regression models further examined individual source associations adjusting for general help-seeking intentions. Exploratory analyses assessed whether demographic characteristics, mental health symptoms, and suicide risk were associated with help-seeking intentions for chatbots. Results: Participants endorsed lower help-seeking intentions for suicide thoughts from chatbots than from informal and formal sources. Intention to use chatbots for suicide thoughts was not correlated with informal and formal sources but was correlated with anonymous online sources. At the individual source level, chatbot intentions were positively associated with intimate partners but negatively associated with outreach to friends after adjustment for general help seeking tendency. Anxiety symptom severity was positively correlated with chatbot use intentions, but not with other sources of support. Conclusions: While preliminary, intentions to use chatbots for suicide thoughts appear mostly disconnected from intentions to seek help from other informal and formal supports. Future studies should evaluate the dynamics of help seeking for suicide thoughts via chatbots amidst and, perhaps in place of, other sources of support.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A One-Arm Pilot Trial of a Telehealth CBT-Based Group Intervention Targeting Transdiagnostic Risk for Emotional Distress 93%
- Psychotherapies and Psychological Support for Individuals Facing Psychological Distress during the COVID-19 Pandemic: A Scoping Review 93%
- The Benefits and Harms of Open Notes in Mental Health: A Delphi Survey of International Experts 92%
Similar papers in this journal
- Piloting Forensic Tele-Mental Health Evaluations of Asylum Seekers 91%
- Symptom Monitoring based on Digital Data Collection During Inpatient Treatment of Schizophrenia Spectrum Disorders – a Feasibility Study 91%
- Absence of nonfatal suicidal behavior preceding suicide death reveals differences in clinical risks 90%
Similar papers in this journal
- Applications of Large Language Models in Psychiatry: A Systematic Review 93%
- Use of the Internet and digital devices among people with severe mental ill health during the COVID-19 pandemic restrictions 92%
- Sex-differences in determinants of suicide risk preceding psychiatric admission: An electronic medical record study 92%
Similar papers in this journal
- Validation of a 9-item Perceived Suicide Awareness Scale (PSAS-9) for adolescents 93%
- Exploring the Efficacy and Potential of Large Language Models for Depression: A Systematic Review 92%
- Is Google Trends a useful tool for tracking mental and social distress during a public health emergency? A time-series analysis 91%
Similar papers in this journal
- The development of a World Health Organization transdiagnostic chatbot intervention for distressed adolescents and young adults 93%
- Precision Digital Intervention for Depression Based on Social Rhythm Principles Adds Significantly to Outpatient Treatment 90%
- Listening to mental health crisis needs at scale: using Natural Language Processing to understand and evaluate a mental health crisis text messaging service 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.