eLearning for Suicide Prevention

Not Applicable

Completed

• Conditions: Suicide
• Interventions: Behavioral: eLearning Training in Suicide Safety Planning

• Registration Number: NCT05178121
• Lead Sponsor: University of Washington

Brief Summary

Project WISE (Workplace Integrated Support \& Education) includes developmental and pilot research to create an e-learning training in suicide safety planning enhanced with novel skill-building technologies that can be integrated into the routine workflow of nurses serving patients hospitalized for medical, surgical, or traumatic injury reasons. This study pilots an initial version of this eLearning training and collects data on the acceptability of the training and its components as well as engagement of nurses in the training. The evaluation will inform iterations of the training.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2021-10-08
• Study Start: 2021-11-01
• Study First Submitted QC: 2021-12-15
• Study First Posted: 2022-01-05
• Primary Completion: 2023-03-01
• Study Completion: 2023-03-01
• Results First Submitted: 2023-09-27
• Status Verified: 2023-11
• Results First Submitted QC: 2023-11-25
• Last Update Submitted: 2023-11-25
• Results First Posted: 2023-12-18
• Last Update Posted: 2023-12-18

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 19

Inclusion Criteria

• Nurses working in acute or intensive care units at Harborview Medical Center

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Exclusion Criteria

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Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Project WISE eLearning Training in Suicide Safety Planning	eLearning Training in Suicide Safety Planning	-

Primary Outcome Measures

Name	Time	Method
Training Acceptability - System Usability Scale for Client Bot Emily	Once, immediately after engaging with each of the training technologies	The System Usability Scale, a self-report measure using a Likert-type rating scale, will assess acceptability of the two technologic training components: Client Bot Emily and Lyssn Advisor. Client Bot Emily is a virtual patient/chat bot with the persona of a suicidal patient. Nurses chat with Emily and practice skills of asking open-ended questions and making reflections about statements Emily makes. Lyssn Advisor is an online platform that automatically codes transcripts of audio or video recorded role-plays for counseling skills; nurses then log in to the platform to see their scores, which provides feedback on their counseling performance.; Scores on the SUS range from 0-100, which higher scores indicating greater usability or acceptability.
Training Acceptability Self-Report - Post-Training	Immediately after completing the training	A 4-item self-report measure created for this study will assess satisfaction with all of the training components using a Likert-type scale of 0 = Not at all satisfied to 4 = Completely satisfied.
Training Acceptability - System Usability Scale for Lyssn Advisor	Once, immediately after engaging with each of the training technologies	The System Usability Scale, a self-report measure using a Likert-type rating scale, will assess acceptability of the two technologic training components: Client Bot Emily and Lyssn Advisor. Client Bot Emily is a virtual patient/chat bot with the persona of a suicidal patient. Nurses chat with Emily and practice skills of asking open-ended questions and making reflections about statements Emily makes. Lyssn Advisor is an online platform that automatically codes transcripts of audio or video recorded role-plays for counseling skills; nurses then log in to the platform to see their scores, which provides feedback on their counseling performance.; Scores on the SUS range from 0-100, which higher scores indicating greater usability or acceptability.
Training Acceptability Self-Report - 6-Month Follow-up	6-months after completing the training	A 4-item self-report measure created for this study will assess satisfaction with all of the training components using a Likert-type scale of 0 = Not at all satisfied to 4 = Completely satisfied.
Training Engagement With Client Bot User Data - Post-Training	Immediately after participants indicate they have completing the training activities	Data is collected from the technologic platform on whether and how often participants accessed the training technologies. Engagement is indicated by participants accessing the platform using their unique login and interacting with the webpage associated with the Client Bot. The unit of measurement will be the number of participants who accessed the Client Bot during the training period.
Participant Retention	6 Months after completing the training	Percent of participants retained throughout study follow-up
Lyssn Advisor Training Engagement Self-Report - 6 Month Follow-up	6-months after participants indicate they have completed the training activities	Participants will self-report whether or not they accessed any of the training technologies during the follow-up period.
Training Engagement With Lyssn Advisor User Data - Post-Training	Immediately after participants indicate they have completing the training activities	Data is collected from the technologic platform on whether and how often participants accessed the training technologies. Engagement is indicated by participants accessing the platform using their unique login and interacting with the webpage associated with the Lyssn Advisor. The unit of measurement will be the frequency of times participants visits the Lyssn Advisor webpage.
Training Engagement With Client Bot User Data - 6-Month Follow-up	6-months after participants indicate they have completed the training activities	Data is collected from the technologic platform on whether and how often participants accessed the training technologies. Engagement is indicated by participants accessing the platform using their unique login and interacting with the webpage associated with the Client Bot. The unit of measurement will be the number of participants who logged on and interacted with the Client Bot after the training period and before completing the 6-month survey.
Training Engagement With Lyssn Advisor User Data - 6-Month Follow-up	6-months after participants indicate they have completed the training activities	Data is collected from the technologic platform on whether and how often participants accessed the training technologies. Engagement is indicated by participants accessing the platform using their unique login and interacting with the webpage associated with the Lyssn Advisor. The unit of measurement will be the frequency of times participants visits the Lyssn Advisor webpage during the 6-month follow-up period.
Training Engagement Self-Report - Post-Training	Immediately after participants indicate they have completed the training activities	Investigators will collect self-reported completion of the training activities using a 4-item measure. Participants will report on a sliding scale from 0-100, what percent of each training activity they believe they completed.
Client Bot Training Engagement Self-Report - 6 Month Follow-up	6-months after participants indicate they have completed the training activities	Participants will self-report whether or not they accessed any of the training technologies during the follow-up period.

Trial Locations

Locations (1)

Harborview Medical Center; 🇺🇸 Seattle, Washington, United States