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临床试验/NCT05178121
NCT05178121已完成不适用

Formative Evaluation of an eLearning Approach to Suicide Prevention Training

University of Washington2 个研究点 分布在 1 个国家目标入组 19 人开始时间: 2021年11月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
19
试验地点
2
主要终点
Training Acceptability - System Usability Scale for Client Bot Emily

研究概览

简要总结

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.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Prevention
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

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

排除标准

  • 未提供

结局指标

主要结局

Training Acceptability - System Usability Scale for Client Bot Emily

时间窗: 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

时间窗: 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 - System Usability Scale for Lyssn Advisor

时间窗: 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 - 6-Month Follow-up

时间窗: 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

时间窗: 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.

Participant Retention

时间窗: 6 Months after completing the training

Percent of participants retained throughout study follow-up

Lyssn Advisor Training Engagement Self-Report - 6 Month Follow-up

时间窗: 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.

Training Engagement With Lyssn Advisor User Data - Post-Training

时间窗: 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

时间窗: 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

时间窗: 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

时间窗: 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

时间窗: 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.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Doyanne Darnell

Assistant Professor, School of Medicine: Psychiatry

University of Washington

研究点 (2)

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