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eLearning for Suicide Prevention

Formative Evaluation of an eLearning Approach to Suicide Prevention Training

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05178121
Enrollment
19
Registered
2022-01-05
Start date
2021-11-01
Completion date
2023-03-01
Last updated
2023-12-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Suicide

Keywords

Education, Suicide Prevention, Fidelity, Artificial Intelligence

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.

Interventions

BEHAVIORALeLearning 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.

Sponsors

National Institute of Mental Health (NIMH)
CollaboratorNIH
University of Washington
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

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

Exclusion criteria

\-

Design outcomes

Primary

MeasureTime frameDescription
Training Acceptability - System Usability Scale for Client Bot EmilyOnce, immediately after engaging with each of the training technologiesThe 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-TrainingImmediately after completing the trainingA 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-up6-months after completing the trainingA 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-TrainingImmediately after participants indicate they have completing the training activitiesData 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.
Training Engagement With Lyssn Advisor User Data - Post-TrainingImmediately after participants indicate they have completing the training activitiesData 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-up6-months after participants indicate they have completed the training activitiesData 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-up6-months after participants indicate they have completed the training activitiesData 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-TrainingImmediately after participants indicate they have completed the training activitiesInvestigators 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-up6-months after participants indicate they have completed the training activitiesParticipants will self-report whether or not they accessed any of the training technologies during the follow-up period.
Participant Retention6 Months after completing the trainingPercent of participants retained throughout study follow-up
Training Acceptability - System Usability Scale for Lyssn AdvisorOnce, immediately after engaging with each of the training technologiesThe 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.
Lyssn Advisor Training Engagement Self-Report - 6 Month Follow-up6-months after participants indicate they have completed the training activitiesParticipants will self-report whether or not they accessed any of the training technologies during the follow-up period.

Countries

United States

Participant flow

Recruitment details

Nurses recruited from medical center via email, flyer, and unit manager notifications of the study. Recruitment period: November 1, 2021 - May 31, 2022

Participants by arm

ArmCount
Project WISE eLearning Training in Suicide Safety Planning
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.
18
Total18

Withdrawals & dropouts

PeriodReasonFG000
Overall StudyData collection ended before participant reached 6 months1
Overall StudyOther4

Baseline characteristics

CharacteristicProject WISE eLearning Training in Suicide Safety Planning
Age, Continuous31.4 years
STANDARD_DEVIATION 6
Ethnicity (NIH/OMB)
Hispanic or Latino
1 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
16 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
1 Participants
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
3 Participants
Race (NIH/OMB)
Black or African American
0 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
1 Participants
Race (NIH/OMB)
White
14 Participants
Region of Enrollment
United States
18 participants
Sex: Female, Male
Female
17 Participants
Sex: Female, Male
Male
1 Participants

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 18
other
Total, other adverse events
0 / 18
serious
Total, serious adverse events
0 / 18

Outcome results

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.

Time frame: 6-months after participants indicate they have completed the training activities

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Project WISE eLearning Training in Suicide Safety PlanningClient Bot Training Engagement Self-Report - 6 Month Follow-up3 Participants
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.

Time frame: 6-months after participants indicate they have completed the training activities

Population: 13 nurses completed the 6-month follow-up survey and therefore reported on technology use during that period of time.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Project WISE eLearning Training in Suicide Safety PlanningLyssn Advisor Training Engagement Self-Report - 6 Month Follow-up6 Participants
Primary

Participant Retention

Percent of participants retained throughout study follow-up

Time frame: 6 Months after completing the training

Population: 19 participants enrolled in the study; however, of these, 18 participants participated in some aspect of the study, including completed the baseline survey

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Project WISE eLearning Training in Suicide Safety PlanningParticipant RetentionRetained through the 6-month survey13 Participants
Project WISE eLearning Training in Suicide Safety PlanningParticipant RetentionRetained through the 6-month role-play10 Participants
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.

Time frame: 6-months after completing the training

ArmMeasureGroupValue (MEAN)Dispersion
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - 6-Month Follow-upSatisfaction with the didactic and demonstration3.2 score on a scaleStandard Deviation 0.8
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - 6-Month Follow-upSatisfaction with Client Bot Emily1.5 score on a scaleStandard Deviation 1.2
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - 6-Month Follow-upSatisfaction with the role-play practice3.5 score on a scaleStandard Deviation 0.5
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - 6-Month Follow-upSatisfaction with the Lyssn Advisor feedback2.6 score on a scaleStandard Deviation 1
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.

Time frame: Immediately after completing the training

ArmMeasureGroupValue (MEAN)Dispersion
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - Post-TrainingSatisfaction with the didactic and demonstration3.1 score on a scaleStandard Deviation 0.8
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - Post-TrainingSatisfaction with Client Bot Emily1.1 score on a scaleStandard Deviation 1.1
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - Post-TrainingSatisfaction with the role-play practice3.5 score on a scaleStandard Deviation 0.5
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability Self-Report - Post-TrainingSatisfaction with the Lyssn Advisor feedback2.5 score on a scaleStandard Deviation 0.6
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.

Time frame: Once, immediately after engaging with each of the training technologies

ArmMeasureValue (MEAN)Dispersion
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability - System Usability Scale for Client Bot Emily70.3 score on a scaleStandard Deviation 19.7
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.

Time frame: Once, immediately after engaging with each of the training technologies

ArmMeasureValue (MEAN)Dispersion
Project WISE eLearning Training in Suicide Safety PlanningTraining Acceptability - System Usability Scale for Lyssn Advisor65.4 score on a scaleStandard Deviation 16.3
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.

Time frame: Immediately after participants indicate they have completed the training activities

ArmMeasureGroupValue (MEAN)Dispersion
Project WISE eLearning Training in Suicide Safety PlanningTraining Engagement Self-Report - Post-TrainingPercent completion of didactic and demonstration94.3 percentage of completionStandard Deviation 14.4
Project WISE eLearning Training in Suicide Safety PlanningTraining Engagement Self-Report - Post-TrainingPercent completion of Client Bot Emily activity81.8 percentage of completionStandard Deviation 18.1
Project WISE eLearning Training in Suicide Safety PlanningTraining Engagement Self-Report - Post-TrainingPercent completion of role-play practice95.3 percentage of completionStandard Deviation 11
Project WISE eLearning Training in Suicide Safety PlanningTraining Engagement Self-Report - Post-TrainingPercent completion of Lyssn Advisor activity90.5 percentage of completionStandard Deviation 12.2
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.

Time frame: 6-months after participants indicate they have completed the training activities

Population: 16 participants interacted with Client Bot Emily during the training period.

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Project WISE eLearning Training in Suicide Safety PlanningTraining Engagement With Client Bot User Data - 6-Month Follow-up0 Participants
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.

Time frame: Immediately after participants indicate they have completing the training activities

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
Project WISE eLearning Training in Suicide Safety PlanningTraining Engagement With Client Bot User Data - Post-Training16 Participants
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.

Time frame: 6-months after participants indicate they have completed the training activities

Population: Participant login to the Lyssn system after initial training was not able to be captured, therefore, the outcome data for this variable were not collected.

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.

Time frame: Immediately after participants indicate they have completing the training activities

Population: We were unable to collect this data

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026