Effective training requires repeated opportunities for skills practice with performance-based feedback, which is challenging to provide at scale. This research study focuses on developing an AI-based, coding and feedback tool ("LyssnCrisis") for implementation in a nationally utilized crisis call center, training counselors (call-takers) in suicide risk assessment skills, and evaluating LyssnCrisis to improve services and client outcomes. This research study's goal is to maximize the human capacity of call-takers to help assess their callers for risk of suicidality, and thus, a core aspect of the current research is developing a novel training process that supports human call-taker capacities.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Post-Call Survey
Timeframe: Through study completion, an average of 22 weeks.
Call-taker crisis counseling fidelity
Timeframe: Through study completion, an average of 22 weeks.
System Usability Scale (SUS)
Timeframe: Through study completion, an average of 22 weeks.
Acceptability of Intervention Measure; AIM
Timeframe: For Pilot: at end of 2 week LyssnCrisis period; for RCT, at end of 12-week LyssnCrisis period.
Intervention Appropriateness Measure; IAM
Timeframe: Through study completion, an average of 22 weeks.For Pilot: at end of 2 week LyssnCrisis period; for RCT, at end of 12-week LyssnCrisis period.
Feasibility of Intervention Measure; FIM
Timeframe: For Pilot: at end of 2 week LyssnCrisis period; for RCT, at end of 12-week LyssnCrisis period.