NCT05178121

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
19

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Nov 2021

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

October 8, 2021

Completed
24 days until next milestone

Study Start

First participant enrolled

November 1, 2021

Completed
2 months until next milestone

First Posted

Study publicly available on registry

January 5, 2022

Completed
1.2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2023

Completed
10 months until next milestone

Results Posted

Study results publicly available

December 18, 2023

Completed
Last Updated

December 18, 2023

Status Verified

November 1, 2023

Enrollment Period

1.3 years

First QC Date

October 8, 2021

Results QC Date

September 27, 2023

Last Update Submit

November 25, 2023

Conditions

Keywords

EducationSuicide PreventionFidelityArtificial Intelligence

Outcome Measures

Primary Outcomes (12)

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

  • Participant Retention

    Percent of participants retained throughout study follow-up

    6 Months after completing the training

  • 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

  • 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

Study Arms (1)

Project WISE eLearning Training in Suicide Safety Planning

EXPERIMENTAL
Behavioral: eLearning Training in Suicide Safety Planning

Interventions

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.

Project WISE eLearning Training in Suicide Safety Planning

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Harborview Medical Center

Seattle, Washington, 98104, United States

Location

Related Links

MeSH Terms

Conditions

SuicideSuicide Prevention

Condition Hierarchy (Ancestors)

Self-Injurious BehaviorBehavioral SymptomsBehavior

Results Point of Contact

Title
Doyanne Darnell
Organization
University of Washington

Study Officials

  • Doyanne A Darnell, PhD

    University of Washington

    PRINCIPAL INVESTIGATOR

Publication Agreements

PI is Sponsor Employee
Yes
Restrictive Agreement
No

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
PREVENTION
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Assistant Professor, School of Medicine: Psychiatry

Study Record Dates

First Submitted

October 8, 2021

First Posted

January 5, 2022

Study Start

November 1, 2021

Primary Completion

March 1, 2023

Study Completion

March 1, 2023

Last Updated

December 18, 2023

Results First Posted

December 18, 2023

Record last verified: 2023-11

Data Sharing

IPD Sharing
Will not share

Locations