A Digital Serious Illness Conversation Coach

数字重病对话教练

基本信息

  • 批准号:
    10759161
  • 负责人:
  • 金额:
    $ 27.49万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-09-30 至 2024-09-29
  • 项目状态:
    已结题

项目摘要

PROJECT SUMMARY It has been shown that conversations on end-of-life care focused on a patient’s goals of care can reduce psychological distress and anxiety and lead to improved quality of life, and potentially prolonged life, for patients living with serious illness. The Serious Illness Conversation Guide (SICG) is a validated and widely used framework for training the critical communication skills needed to effectively conduct these conversations; however, there currently exists no mechanism to easily support and continue to build these skills in a scalable way. Evidence suggests that conversational agents, i.e., chatbots, can be used for training and reinforcing communication skills. In this Phase I SBIR project, we propose to optimize and assess the feasibility and acceptability of a chatbot designed to augment SICG training for healthcare professionals (HCPs) on initiating and conducting sensitive conversations with patients diagnosed with serious illness. We will develop and test a chatbot directly with HCPs who are navigating serious illness conversations and/or may be expected to in the future. We will demonstrate feasibility and acceptability of an enhanced chatbot prototype through the following two specific aims: In Aim 1, we will create and adapt chatbot content and build an enhanced, fully functional prototype of the chatbot with expert inputs. The chatbot will feature 3 different patient scenarios ranging in case complexity. In Aim 2, we will conduct a pilot usability study of the prototype with 50 target end users—a diverse sample of HCPs varying in role, specialty, and career phase who have received at least one training session in the SICG. Following enrollment, HCPs will independently test the chatbot-led training and complete surveys at 3 timepoints—baseline, endline, and 1-month after enrollment—to assess the following outcome measures: pre-/post-training confidence in having serious illness conversations, usability, and user satisfaction. Semi-structured endline interviews will be conducted with a purposive sample of 15-20 HCPs to collect additional qualitative feedback on user experience and recommendations for improvement. Results of this Phase I SBIR project will inform a larger scale implementation study in potential Phase II work to evaluate the effectiveness and cost-effectiveness of the proposed intervention to reinforce and augment critical communication skills essential to the care of seriously ill patients.
项目摘要 研究表明,关于临终关怀的谈话主要集中在病人的护理目标上 可以减少心理困扰和焦虑,提高生活质量, 对于患有严重疾病的患者,可能延长寿命。大病 会话指南(SICG)是一个经过验证和广泛使用的框架,用于培训关键的 有效地进行这些对话所需的沟通技巧;然而, 目前还没有一种机制可以轻松地支持和继续在可扩展的 路上了有证据表明,会话代理,即,聊天机器人,可用于培训和 加强沟通技巧。在第一阶段SBIR项目中,我们建议优化和 评估旨在增强SICG培训的聊天机器人的可行性和可接受性, 医疗保健专业人员(HCP)发起和进行敏感对话 被诊断患有严重疾病的患者。我们将直接与HCP开发和测试聊天机器人 正在进行严重疾病对话和/或可能在未来进行的对话。我们 将通过以下方式展示增强型聊天机器人原型的可行性和可接受性: 以下两个具体目标:在目标1中,我们将创建和改编聊天机器人内容,并构建一个 具有专家输入的聊天机器人的增强型全功能原型。该聊天机器人将具有3 不同的患者情况在病例复杂性方面存在差异。在目标2中,我们将进行试点可用性 对具有50个目标最终用户的原型的研究-不同角色的HCP的不同样本, 专业和职业阶段谁已经收到至少一个培训课程在SICG。 注册后,HCP将独立测试聊天机器人主导的培训,并完成 在3个时间点(基线、终点和入组后1个月)进行调查, 以下结果测量:训练前/训练后对患有严重疾病的信心 对话、可用性和用户满意度。半结构化的底线访谈将是 对15-20名HCP进行了有目的的抽样,以收集关于以下方面的额外定性反馈 用户体验和改进建议。第一阶段SBIR项目的结果 将在潜在的第二阶段工作中进行更大规模的实施研究, 拟议干预措施的有效性和成本效益, 关键的沟通技巧,对照顾重病患者至关重要。

项目成果

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Y. Xian Ho其他文献

Y. Xian Ho的其他文献

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{{ truncateString('Y. Xian Ho', 18)}}的其他基金

A novel digital platform for measurement-based peer supervision of non-specialist providers conducting brief psychological interventions
一种新颖的数字平台,用于对进行简短心理干预的非专业提供者进行基于测量的同行监督
  • 批准号:
    10545922
  • 财政年份:
    2022
  • 资助金额:
    $ 27.49万
  • 项目类别:
SurvivorCare: A digital health solution to support long-term cancer survivorship using patient navigation
SurvivorCare:使用患者导航支持长期癌症生存的数字健康解决方案
  • 批准号:
    10491778
  • 财政年份:
    2021
  • 资助金额:
    $ 27.49万
  • 项目类别:
SurvivorCare: A digital health solution to support long-term cancer survivorship using patient navigation
SurvivorCare:使用患者导航支持长期癌症生存的数字健康解决方案
  • 批准号:
    10321516
  • 财政年份:
    2021
  • 资助金额:
    $ 27.49万
  • 项目类别:
SUDCare: A smart mobile tool to support substance use screening and follow-up care
SUDCare:支持物质使用筛查和后续护理的智能移动工具
  • 批准号:
    9897003
  • 财政年份:
    2020
  • 资助金额:
    $ 27.49万
  • 项目类别:
COOPE: A digital health system to facilitate financial navigation of out-of-pocket cancer costs
COOPE:一个数字医疗系统,可促进自付费用的癌症费用的财务导航
  • 批准号:
    10079971
  • 财政年份:
    2020
  • 资助金额:
    $ 27.49万
  • 项目类别:
COPECare: A mobile tool for cancer care coordination in Native American communities
COPECare:美国原住民社区癌症护理协调的移动工具
  • 批准号:
    9905188
  • 财政年份:
    2019
  • 资助金额:
    $ 27.49万
  • 项目类别:
Digital contact tracing and case investigation application on the Navajo Nation
纳瓦霍族的数字接触者追踪和病例调查应用
  • 批准号:
    10207130
  • 财政年份:
    2019
  • 资助金额:
    $ 27.49万
  • 项目类别:

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