An Artificial Intelligence-Powered Supportive Care Chatbot to Address the Supportive Care Needs of Young Adult Cancer Survivors
2026年8月13日 更新者：University of Michigan Rogel Cancer Center
Feasibility, Usability, and Acceptability of an AI-Powered MASCC Supportive Care Platform Among Young Adults With Cancer
This clinical trial studies whether an artificial intelligence (AI)-powered supportive care chatbot is helpful for addressing the supportive care needs of young adult cancer survivors.
Young adult cancer survivors often experience ongoing and distressing symptoms following treatment, including extreme tiredness and lack of energy, anxiety, and difficulty sleeping.
Young adult cancer survivors report a variety of strategies to self-manage these symptoms; however, there remains a gap in targeted interventions focused on the needs in young adult survivors.
The AI-powered supportive care chatbot is designed to provide evidence-based information on supportive care for young adult cancer survivors.
Users interact with the chatbot by entering free-text questions or selecting from predefined topics to receive tailored educational responses related to supportive care across the cancer continuum, including treatment effects, symptom management, care transitions, and life after cancer.
The AI-powered supportive care chatbot may be an effective way to help address the supportive care needs of young adult cancer survivors.
研究概览
研究类型
介入性
注册 (估计的)
30
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：Robert Knoerl
- 电话号码：734-764-8617
- 邮箱：rjknoerl@med.umich.edu
学习地点
-
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Michigan
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Ann Arbor、Michigan、美国、48109
- University of Michigan Rogel Cancer Center
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接触：
- Robert Knoerl
- 电话号码：734-764-8617
- 邮箱：rjknoerl@med.umich.edu
-
首席研究员：
- Robert Knoerl
-
-
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
- 成人
接受健康志愿者
不
描述
Inclusion Criteria:
- 18 - 39 years old
- Able to speak/read English
- Completed primary cancer treatment (e.g., surgery, radiation, chemotherapy, immunotherapy) at least one month prior to the time of consent. Although, participants will be eligible if they are receiving maintenance treatments
- Report at least one moderate to severe symptom, side effect, or supportive care concern from cancer or its treatment
- Able to access Wi-Fi/internet
- Willing to complete surveys electronically
Exclusion Criteria:
- Completed cancer treatment more than three years ago
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：支持治疗
- 分配：不适用
- 介入模型：单组作业
- 屏蔽：无（打开标签）
武器和干预
参与者组/臂 |
干预/治疗 |
|---|---|
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实验性的：Supportive care (AI-powered supportive care chatbot)
Patients interact with AI-powered supportive care chatbot in a self-directed manner for 4 weeks.
Following the initial 4-week use period, patients choose to either continue to use the chatbot for an additional 8 weeks or conclude study participation.
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辅助研究
辅助研究
Interact with AI-powered supportive care chatbot
其他名称：
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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 |
|---|---|---|
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Acceptability of AI-powered supportive care chatbot
大体时间：At end of intervention, assessed up to 12 weeks
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Acceptability will be supported if mean scores on the Acceptability E-Scale are ≥ 4 (on a 5-point scale).
Will be described (i.e., means, medians, standard deviations, and ranges) at the post-intervention time point.
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At end of intervention, assessed up to 12 weeks
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Demand of AI-powered supportive care chatbot
大体时间：Up to 12 months
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Demand will be demonstrated by successful recruitment of the target sample (N=30) within 12 months.
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Up to 12 months
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Implementation of AI-powered supportive care chatbot
大体时间：During intervention use, assessed up to 12 weeks
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Implementation will be assessed by engagement with the chatbot, defined as ≥ 70% of participants reporting at least one use per week during the initial 4-week period, rather than a fixed duration of use, given the self-directed nature of the intervention.
Will be described (i.e., means, medians, standard deviations, and ranges) weekly.
Given the pilot nature of the study, no hypothesis testing or formal comparisons will be conducted.
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During intervention use, assessed up to 12 weeks
|
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Retention
大体时间：Up to 12 weeks
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Retention will be considered feasible if ≥ 80% of participants complete 4-week assessments, and ≥ 50% elect to continue to the optional extended use period.
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Up to 12 weeks
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Usability of AI-powered supportive care chatbot
大体时间：At end of intervention, assessed up to 12 weeks
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Usability will be supported if mean System Usability Scale scores are ≥ 70, indicating acceptable usability.
Will be described (i.e., means, medians, standard deviations, and ranges) at the post-intervention time point.
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At end of intervention, assessed up to 12 weeks
|
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Patient Reported Outcomes Measurement Information System measure
大体时间：At baseline, 4 weeks, and/or 12 weeks
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Will be summarized using descriptive statistics (e.g., means, medians, standard deviations, and ranges) at each time point.
Changes over time (baseline, post-intervention, as applicable) will be examined descriptively.
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At baseline, 4 weeks, and/or 12 weeks
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Digital Health Literacy Scale
大体时间：At baseline
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Will be summarized using descriptive statistics (e.g., means, medians, standard deviations, and ranges) at the baseline time point.
The Digital Health Literacy Scale is a 0 to 12 point score (based on 3 items), with higher scores indicating greater digital health care literacy.
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At baseline
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Interview themes and subthemes
大体时间：At end of intervention, assessed up to 12 weeks
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The audio-recorded interviews will be transcribed verbatim by a professional transcription company and verified for accuracy by another study team member.
The finalized transcripts will be imported into NVivo 12 (QSR International Pty Ltd).
Inductive content analysis will be used to analyze the interview transcripts.
Two study team members will review the transcripts and the interview guide to create an initial list of codes.
Three transcripts will be independently coded using the initial codebook.
After three interviews are coded, two study team members will meet to resolve any coding discrepancies and to revise the codebook further.
The same process will be repeated after three more interviews are coded.
After the codebook is finalized, one study team member will code the remaining interviews.
Subsequently, the study team will meet as a group to review the transcripts in their entirety, making sense of the data and generating potential major themes and subthemes.
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At end of intervention, assessed up to 12 weeks
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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：Robert Knoerl、University of Michigan Rogel Cancer Center
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 (估计的)
2026年10月1日
初级完成 (估计的)
2028年10月1日
研究完成 (估计的)
2028年10月1日
研究注册日期
首次提交
2026年7月30日
首先提交符合 QC 标准的
2026年8月13日
首次发布 (实际的)
2026年8月19日
研究记录更新
最后更新发布 (实际的)
2026年8月19日
上次提交的符合 QC 标准的更新
2026年8月13日
最后验证
2026年7月1日
更多信息
与本研究相关的术语
其他研究编号
- UMCC 2026.025
- NCI-2026-05454 (注册表标识符：CTRP (Clinical Trial Reporting Program))
- HUM00288074 (其他标识符：University of Michigan Rogel Cancer Center)
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
De-identified participant data will be shared with other researchers upon reasonable request and execution of a data transfer agreement.
IPD 共享时间框架
After publication of results and within 7 years after study completion.
IPD 共享访问标准
De-identified participant data will be shared with other researchers upon reasonable request and execution of a data transfer agreement.
IPD 共享支持信息类型
- 研究方案
- 树液
- 国际碳纤维联合会
- 分析代码
- 企业社会责任
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
在美国制造并从美国出口的产品
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.