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Advancing Skills Through Consultation, Education, and Novel Technologies (ASCENT)

2026年8月20日 更新者:Stefanie LoSavio、The University of Texas Health Science Center at San Antonio

Increasing the Reach of Evidence-Based PTSD Treatment: Development and Clinical Trial of Artificial Intelligence (AI)-Facilitated, Web-Based Written Exposure Therapy Training

This research study tests strategies to train behavioral health providers in Written Exposure Therapy (WET), an evidence-based treatment for posttraumatic stress disorder (PTSD). There are a number of evidence-based treatments for posttraumatic stress disorder (PTSD). However, most behavioral health providers have not received training in these PTSD treatments and do not offer them regularly to their patients.

The researchers hope to learn about the optimal way to train behavioral providers in this type of treatment. This study is designed to determine the comparative effectiveness of different training strategies on key outcomes such as how much competency providers develop in the therapy and to how many patients they deliver the therapy. This study will help the researchers understand if we can help more providers learn to competently delivery Written Exposure Therapy by using strategies that are more convenient and cost less money, including web-based and AI-facilitated training supports. This study will also help us learn which training strategies work best for which providers so that in the future we can make personalized training recommendations.

研究概览

详细说明

This study will enroll behavioral health providers (i.e., professional therapists) and test a training program for Written Exposure Therapy that includes

  1. an enhanced, web-based foundational training (web-based training plus integrated TherapyTrainer components) and
  2. an AI training support tool for competency development (TherapyTrainer).

This randomized clinical trial will compare web/AI training, among providers who serve Veterans and Service Members, to standard Written Exposure Therapy training (i.e., human-delivered live workshop and consultation calls) on provider, patient, and cost-effectiveness outcomes. There is no cross-over of conditions. Providers in both conditions will be eligible to earn continuing education credits and approval as Written Exposure Therapy Providers who have completed competency based training and two training cases.

研究类型

介入性

注册 (估计的)

300

阶段

  • 不适用

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

  • 姓名:Stefanie Losavio, PhD
  • 电话号码:(210) 562-6714
  • 邮箱:ASCENT@uthscsa.edu

学习地点

    • Texas
      • San Antonio、Texas、美国、78229
        • 招聘中
        • University of Texas Health Science Center at San Antonio
        • 接触:

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 孩子
  • 成人
  • 年长者

接受健康志愿者

是的

描述

Inclusion Criteria:

  1. mental health provider;
  2. serves veterans and/or service members with PTSD (by self-report);
  3. willing to participate in either live or web-based training.

Exclusion Criteria:

1. has already completed formal training in Written Exposure Therapy

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:其他
  • 分配:随机化
  • 介入模型:并行分配
  • 屏蔽:无(打开标签)

武器和干预

参与者组/臂
干预/治疗
有源比较器:Workshop + Consultation Calls
10-hour, live workshop over 2 days with a live trainer via video conferencing. There will also be twelve 1 hour calls with a live therapy consultant .
Approximately 10 hours (excluding breaks) over 2 days with a live trainer via video conferencing (e.g., Zoom)
Twelve 1-hour calls with a live therapy consultant via videoconferencing (e.g., Zoom)
有源比较器:Workshop + TherapyTrainer
10-hour, live workshop over 2 days with a live trainer via video conferencing.There will also be approximately 12 hours of engagement with the AI training support tool (TherapyTrainer)
Approximately 10 hours (excluding breaks) over 2 days with a live trainer via video conferencing (e.g., Zoom)
No live meetings, but approximately 12 hours of engaging with the AI training support tool (TherapyTrainer)
其他名称:
  • AI Training Tool
有源比较器:Web-Based Training + Consultation Calls
AI enhanced Web-based training with no live meetings, but approximately 8-10 hours of asynchronous, self-paced training. There will also be twelve 1 hour calls with a live therapy consultant .
Twelve 1-hour calls with a live therapy consultant via videoconferencing (e.g., Zoom)
No live meetings, but approximately 8-10 hours of asynchronous training at the learner's pace over about 1 month.
有源比较器:Web-based Training + TherapyTrainer
AI enhanced Web-based training with no live meetings, but approximately 8-10 hours of asynchronous, self-paced training. There will also be approximately 12 hours of engagement with the AI training support tool (TherapyTrainer)
No live meetings, but approximately 12 hours of engaging with the AI training support tool (TherapyTrainer)
其他名称:
  • AI Training Tool
No live meetings, but approximately 8-10 hours of asynchronous training at the learner's pace over about 1 month.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Provider WET Competency
大体时间:Baseline to 7 months
A 20-item multiple choice treatment knowledge assessment. Higher scores indicate greater knowledge of WET.
Baseline to 7 months

次要结果测量

结果测量
措施说明
大体时间
Completion of Practice Cases
大体时间:4 months
Number of participants that complete practice cases
4 months
Time to complete Practice Cases
大体时间:4 months
Number of days to complete two training cases (real or simulated)
4 months

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Stefanie LoSavio, PhD、The University of Texas Health Science Center at San Antonio

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2026年8月20日

初级完成 (估计的)

2028年8月31日

研究完成 (估计的)

2028年8月31日

研究注册日期

首次提交

2026年7月10日

首先提交符合 QC 标准的

2026年7月10日

首次发布 (实际的)

2026年7月16日

研究记录更新

最后更新发布 (实际的)

2026年8月24日

上次提交的符合 QC 标准的更新

2026年8月20日

最后验证

2026年8月1日

更多信息

与本研究相关的术语

其他研究编号

  • STUDY00002482
  • HT9425-25-1-0585 (其他赠款/资助编号:Department of Defense)

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

是的

IPD 计划说明

The PI will ensure all mechanisms used to share data will include proper plans and safeguards for the protection of privacy, confidentiality, and security for data dissemination and reuse (e.g., all data will be de-identified and will not be traceable to a specific study participant).

IPD 共享时间框架

At study completion and after data analysis is complete

IPD 共享支持信息类型

  • 研究方案
  • 树液

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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