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eLearning for Suicide Prevention

Primary Purpose

Suicide

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
eLearning Training in Suicide Safety Planning
Sponsored by
University of Washington
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional prevention trial for Suicide focused on measuring Education, Suicide Prevention, Fidelity, Artificial Intelligence

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesAccepts Healthy Volunteers

Inclusion Criteria:

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

Exclusion Criteria:

-

Sites / Locations

  • Harborview Medical Center

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

Project WISE eLearning Training in Suicide Safety Planning

Arm Description

Outcomes

Primary Outcome Measures

Training Acceptability - System Usability Scale
The System Usability Scale, a self-report measure using a Likert-type rating scale, will assess acceptability of specific technologic training components. Scores range from 0-100, which higher scores indicating greater usability or acceptability.
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.
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.
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 frequency of times participants visits the Client Bot webpage.
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.
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 frequency of times participants visits the Client Bot webpage during the 6-month follow-up period.
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.
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.
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.
Participant Retention
Percent of participants retained throughout study follow-up

Secondary Outcome Measures

Full Information

First Posted
October 8, 2021
Last Updated
April 7, 2023
Sponsor
University of Washington
Collaborators
National Institute of Mental Health (NIMH)
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1. Study Identification

Unique Protocol Identification Number
NCT05178121
Brief Title
eLearning for Suicide Prevention
Official Title
Formative Evaluation of an eLearning Approach to Suicide Prevention Training
Study Type
Interventional

2. Study Status

Record Verification Date
April 2023
Overall Recruitment Status
Completed
Study Start Date
November 1, 2021 (Actual)
Primary Completion Date
May 31, 2022 (Actual)
Study Completion Date
February 28, 2023 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
University of Washington
Collaborators
National Institute of Mental Health (NIMH)

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

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.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Suicide
Keywords
Education, Suicide Prevention, Fidelity, Artificial Intelligence

7. Study Design

Primary Purpose
Prevention
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
19 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Project WISE eLearning Training in Suicide Safety Planning
Arm Type
Experimental
Intervention Type
Behavioral
Intervention Name(s)
eLearning Training in Suicide Safety Planning
Intervention Description
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.
Primary Outcome Measure Information:
Title
Training Acceptability - System Usability Scale
Description
The System Usability Scale, a self-report measure using a Likert-type rating scale, will assess acceptability of specific technologic training components. Scores range from 0-100, which higher scores indicating greater usability or acceptability.
Time Frame
Once, immediately after engaging with each of the training technologies
Title
Training Acceptability Self-Report - Post-Training
Description
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.
Time Frame
Immediately after completing the training
Title
Training Acceptability Self-Report - 6-Month Follow-up
Description
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.
Time Frame
6-months after completing the training
Title
Training Engagement with Client Bot User Data - Post-Training
Description
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 frequency of times participants visits the Client Bot webpage.
Time Frame
Immediately after participants indicate they have completing the training activities
Title
Training Engagement with Lyssn Advisor User Data - Post-Training
Description
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.
Time Frame
Immediately after participants indicate they have completing the training activities
Title
Training Engagement with Client Bot User Data - 6-Month Follow-up
Description
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 frequency of times participants visits the Client Bot webpage during the 6-month follow-up period.
Time Frame
6-months after participants indicate they have completed the training activities
Title
Training Engagement with Lyssn Advisor User Data - 6-Month Follow-up
Description
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.
Time Frame
6-months after participants indicate they have completed the training activities
Title
Training Engagement Self-Report - Post-Training
Description
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.
Time Frame
Immediately after participants indicate they have completed the training activities
Title
Training Engagement Self-Report - 6 Month Follow-up
Description
Participants will self-report whether or not they accessed any of the training technologies during the follow-up period.
Time Frame
6-months after participants indicate they have completed the training activities
Title
Participant Retention
Description
Percent of participants retained throughout study follow-up
Time Frame
6 Months after completing the training

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
Inclusion Criteria: Nurses working in acute or intensive care units at Harborview Medical Center Exclusion Criteria: -
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Doyanne A Darnell, PhD
Organizational Affiliation
University of Washington
Official's Role
Principal Investigator
Facility Information:
Facility Name
Harborview Medical Center
City
Seattle
State/Province
Washington
ZIP/Postal Code
98104
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
No
Links:
URL
https://reporter.nih.gov/project-details/10210226
Description
NIH Reporter

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