SuicideNCT05178121
eLearning for Suicide Prevention
A study testing eLearning Training in Suicide Safety Planning in people with Suicide, run by University of Washington at 1 site in United States.
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… Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Suicide
- What is being tested?
- eLearning Training in Suicide Safety Planning
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 19 participants
- Where
- 1 siteUnited States
- Study dates
- 1 Nov 2021to 1 Mar 2023
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- Nurses working in acute or intensive care units at Harborview Medical Center
Who cannot join
- -
Trial locations and contacts
1 site in 1 country.
United States1 site
Harborview Medical Center
Seattle, Washington, 98104
About this study
Official title: Formative Evaluation of an eLearning Approach to Suicide Prevention Training
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.
- Conditions
- Suicide
- Being tested
- eLearning Training in Suicide Safety Planning
- Keywords
- Education, Suicide Prevention, Fidelity, Artificial Intelligence
- Medical subject headings
- Suicide, Suicide Prevention
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
eLearning Training in Suicide Safety PlanningBehavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| Project WISE eLearning Training in Suicide Safety Planning | Experimental | Not described Receives: Behavioral: eLearning Training in Suicide Safety Planning |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 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.
Measured: 6-months after participants indicate they have completed the training activities
Participant Retention
Percent of participants retained throughout study follow-up
Measured: 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.
Measured: 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.
Measured: 6-months after participants indicate they have completed the training activities
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Jan 2022
- Study start1 Nov 2021
- Primary completion1 Mar 2023
- Study completion1 Mar 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Other trials for SuicideStudies of the same condition, open and under way.
- More trials run by University of WashingtonThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 19 participants (actual)
Sponsor and investigators
- Lead sponsor
- University of Washington
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute of Mental Health (NIMH)
- Responsible party
- Principal investigator, Doyanne Darnell, University of Washington
- Investigators
- Doyanne A Darnell, PhD, Principal investigator, University of Washington
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05178121
- Sponsor's protocol ID
- STUDY00013577
- Other IDs
- K23MH118361-01A1
- Status last verified
- Nov 2023
- First submitted
- 8 Oct 2021
- Last updated
- 18 Dec 2023
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 18 Dec 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Formative Evaluation of an eLearning Approach to Suicide Prevention Training
- ClinicalTrials.gov ID
- NCT05178121
- Acronym / sponsor ID
- STUDY00013577
- Conditions
- Suicide
- Keywords
- Education, Suicide Prevention, Fidelity, Artificial Intelligence
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 19 participants (actual)
- Lead sponsor
- University of WashingtonUniversity, hospital or other
- Collaborators
- National Institute of Mental Health (NIMH)
- Study start
- 1 Nov 2021 (actual)
- Primary completion
- 1 Mar 2023 (actual)
- Study completion
- 1 Mar 2023 (actual)
- First posted
- 5 Jan 2022 (actual)
- Results
- Posted 18 Dec 2023
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Prevention
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Project WISE eLearning Training in Suicide Safety Planning | Experimental | Behavioral: eLearning Training in Suicide Safety Planning |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Nurses working in acute or intensive care units at Harborview Medical Center
Key exclusion criteria (1 listed)
- -
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| eLearning Training in Suicide Safety PlanningThe 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. | Behavioural | Project WISE eLearning Training in Suicide Safety Planning |
Primary outcome
Training Acceptability - System Usability Scale for Client Bot Emily
Time frame: 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
Time frame: 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 Self-Report - 6-Month Follow-up
Time frame: 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
Time frame: 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.
Training Engagement With Lyssn Advisor User Data - Post-Training
Time frame: 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
Time frame: 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
Time frame: 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
Time frame: 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
Time frame: 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.
Participant Retention
Time frame: 6 Months after completing the training
Percent of participants retained throughout study follow-up
Training Acceptability - System Usability Scale for Lyssn Advisor
Time frame: 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.
Lyssn Advisor Training Engagement Self-Report - 6 Month Follow-up
Time frame: 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.
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Dec 2023.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- NIH ReporterLink provided by the sponsor.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Doyanne A Darnell, PhD principal investigator
University of Washington
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing eLearning Training in Suicide Safety Planning in people with Suicide, run by University of Washington at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 18 Dec 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 18 Dec 2023). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Training Acceptability - System Usability Scale for Client Bot Emily (time frame: Once, immediately after engaging with each of the training technologies). The study lists 12 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Dec 2023.