NCT02742064已完成不适用
Quantified Mobile Sensing for Improving Diagnosis and Measuring Disease Progression
Cogito Health Inc1 个研究点 分布在 1 个国家目标入组 899 人开始时间: 2015年2月最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 899
- 试验地点
- 1
- 主要终点
- Severity of Mania symptoms as assessed by ASRM
研究概览
简要总结
The purpose of this study is to determine if a mobile sensing platform can passively and objectively detect the presence of clinically significant mood disorder symptomatology and symptom progression over time. Meeting this goal will allow for improved risk categorization, prediction of relapse, and measurement of disease progression in a lifetime prevalence population.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
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
- •Age 18 or older
- •Have a smartphone and cell service plan, including voice and data, that meets the device requirements of the Mobile Sensing Platform.
- •Enrolled in the MoodNetwork
排除标准
- •Report positively on the QIDS-SR suicide item during study intake
- •Total score greater than 15 on the QIDS-SR during the screening process
结局指标
主要结局
Severity of Mania symptoms as assessed by ASRM
时间窗: 6 months
Severity of MDD symptoms as assessed by QIDS SR
时间窗: 6 months
次要结局
未报告次要终点
研究者
研究点 (1)
Loading locations...
相似试验
已完成
不适用
Video Vitals and BiomarkersCardiometabolic DiseasesNCT06136156Maiv Health Inc.237
已完成
不适用
Dashboards for Clinician Monitoring of Patients Through a Mobile Sensing PlatformBehavioral Health With Medical ComorbiditiesNCT02167373Cogito Health Inc171
已完成
不适用
Treating Pain in Children With Cancer: Pain BuddyCancerNCT03384134University of California, Irvine407
尚未招募
不适用
Testing of Mobile Monitoring SystemOrthopedic DisorderNCT04601376Stanford University500
已完成
不适用
Modeling and Predicting Real World Behavior Using Mobile Sensor Data on Patients With Major Depressive DisorderDepressive DisorderNCT02499094Ginger.io1,004