Perceived Impact of COVID-19 Among Callers to the National Suicide Prevention Lifeline.

Background: Research indicates that the COVID-19 pandemic caused increases in psychological distress and suicidal ideation. Aims: To describe the ways suicidal callers to the National Suicide Prevention Lifeline (Lifeline) perceived COVID-19 to have impacted them and assess whether these callers perceived COVID-19-related stress as contributing to their suicidal thoughts. Method: Telephone interviews were conducted with 412 suicidal callers to 12 Lifeline centers. Logistic regression analyses were used to examine the associations between demographic factors and individual COVID-19 stressors and to determine whether callers who endorsed COVID-19-related stress as contributing to their suicidal thoughts differed from those who did not regarding demographics, current suicide risk, history of suicidality, Lifeline use, or individual COVID-19 stressors. Results: Over half of callers reported that COVID-19-related stress contributed to their suicidal ideation (CRSSI). Callers who endorsed CRSSI had higher odds than those who did not of mentioning financial difficulties when asked how COVID-19 impacted them. The two groups of callers did not differ on the other factors examined. Limitations: Interviewed callers may not be representative of all Lifeline callers. Conclusion: Despite the subjective burden of COVID-19-related stress on suicidal Lifeline callers, this was not associated with new suicidality or heightened suicide risk.

Lifeline Crisis Chat: Coding form development and findings on chatters' risk status and counselor behaviors.

OBJECTIVE: This study aimed to develop a reliable tool for the abstraction of data from crisis chat transcripts; to describe chatters' suicide risk status and selected counselor behaviors; and to examine the relationship of chatters' self-reported pre-chat suicidal thoughts to counselor behaviors and to chatters' disclosures of suicide risk during the chat conversation. METHODS: Coders used an instrument developed for this study to abstract data from 1034 crisis chats handled by the National Suicide Prevention Lifeline Crisis Chat network in 2015. The relationship of transcript coding data to data from an automated pre-chat survey (PCS) was examined. RESULTS: Lifeline Crisis Chat serves a young (median age = 21), high-risk population: 84.0% of chats (869/1034) came from chatters endorsing current or recent suicidal thoughts on the PCS. Counselors engaged in rapport-building on 93.3%, problem-solving on 70.1%, and suicide risk assessment on 67.7% of these 869 chats. Counselor risk assessment behavior, and the availability of information on suicide risk in the chat transcript, varied significantly by the chatter's PCS response. CONCLUSION: Crisis counselors are able to implement keystones of Lifeline's crisis intervention model over the medium of online chat. Additional efforts are needed to ensure that suicide risk is assessed on every chat.