eLearning for Suicide Prevention

Suicide Clinical Trial

Official title:

Formative Evaluation of an eLearning Approach to Suicide Prevention Training

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT05178121
• Other study ID #: STUDY00013577
• Secondary ID: K23MH118361-01A1
• Status: Completed
• Phase: N/A
• Start date: November 1, 2021
• Est. completion date: March 1, 2023

Study information

• Verified date: November 2023
• Source: University of Washington
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 19
• Est. completion date: March 1, 2023
• Est. primary completion date: March 1, 2023
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

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

Exclusion Criteria:

-

Related Conditions & MeSH terms

• Suicide
• Suicide Prevention

Intervention

Behavioral:
• eLearning Training in Suicide Safety Planning
The training includes a web-based didactic in suicide safety planning, interactive practice in counseling microskills with a chat bot, role-playing safety planning with a standardized patient, and reviewing automated feedback on safety planning counseling skills generated from a computer coding system.

Locations

Country	Name	City	State
United States	Harborview Medical Center	Seattle	Washington

Sponsors (2)

Lead Sponsor	Collaborator
University of Washington	National Institute of Mental Health (NIMH)

Country where clinical trial is conducted

United States, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Training Acceptability - System Usability Scale for Client Bot Emily	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.	Once, immediately after engaging with each of the training technologies
Primary	Training Acceptability Self-Report - Post-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.	Immediately after completing the training
Primary	Training Acceptability Self-Report - 6-Month Follow-up	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.	6-months after completing the training
Primary	Training Engagement With Client Bot User Data - Post-Training	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.	Immediately after participants indicate they have completing the training activities
Primary	Training Engagement With Lyssn Advisor User Data - Post-Training	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.	Immediately after participants indicate they have completing the training activities
Primary	Training Engagement With Client Bot User Data - 6-Month Follow-up	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.	6-months after participants indicate they have completed the training activities
Primary	Training Engagement With Lyssn Advisor User Data - 6-Month Follow-up	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.	6-months after participants indicate they have completed the training activities
Primary	Training Engagement Self-Report - Post-Training	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.	Immediately after participants indicate they have completed the training activities
Primary	Client Bot Training Engagement Self-Report - 6 Month Follow-up	Participants will self-report whether or not they accessed any of the training technologies during the follow-up period.	6-months after participants indicate they have completed the training activities
Primary	Participant Retention	Percent of participants retained throughout study follow-up	6 Months after completing the training
Primary	Training Acceptability - System Usability Scale for Lyssn Advisor	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.	Once, immediately after engaging with each of the training technologies
Primary	Lyssn Advisor Training Engagement Self-Report - 6 Month Follow-up	Participants will self-report whether or not they accessed any of the training technologies during the follow-up period.	6-months after participants indicate they have completed the training activities

External Links

•   NIH Reporter