NCT05318027进行中（未招募）2 期
Use of Natural Language Processing ChatBot and Automated Continuous Activity Monitoring Via Mobile Phones for Early Detection and Management of Symptoms in Patients Undergoing Cancer Treatment
适应症
试验速览
- 阶段
- 2 期
- 状态
- 进行中（未招募）
- 入组人数
- 70
- 试验地点
- 1
- 主要终点
- Number of triage visits
研究概览
简要总结
Evaluate the feasibility of using a chatbot combined with continuous activity monitoring to proactively identify, appropriately triage and help manage patients' symptoms during cancer treatment Determine whether such an early outpatient clinic-based intervention can decrease rates of excess triage visits
Correlate changes in activity and early symptom management to emergency department visits, unplanned inpatient hospitalizations and treatment breaks
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Other
- 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
- 否
入选标准
- •Adults (age >18 years) with a diagnosis of a head and neck, lung, gastrointestinal cancer, that are receiving concurrent chemotherapy and radiation treatment.
- •Possession of a mobile device that can receive SMS texts and can deliver FitBit data wirelessly
- •Ability read and respond in English
- •Ability to provide informed consent to participate in the study
排除标准
- •Patients who are bed bound at baseline (ECOG 4)
- •Patients who rely on a wheelchair for ambulation
结局指标
主要结局
Number of triage visits
时间窗: 13 weeks
Difference between Poisson event rates of triage visits between intervention and control arms
次要结局
- Count of unplanned inpatient hospitalization(13 weeks)
- Count of treatment breaks(13 weeks)
- Count of emergency department visits(13 weeks)
- Quality of Life scores(13 weeks)
研究者
研究点 (1)
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