Technology Assisted Intervention for the Treatment and Prevention of Depression
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 2,010
- 试验地点
- 2
- 主要终点
- Depression, as assessed the Patient Health Questionnaire-9
研究概览
简要总结
Investigators are evaluating the use of phone sensor data to estimate behavior, depression and anxiety.
详细描述
Investigators are evaluating the use of phone sensor data to estimate behavior, depression and anxiety. Participants will include people who are high on depression, high on anxiety, hight on both depression and anxiety, and health controls. Particpants will load software on their phones that collects phone sensor data, and obtains self report on sleep, mood, and social contacts. Data will be collected for at least 6 weeks.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 19 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •PHQ-9 score 10 or higher
- •Has an e-mail account, computer, and broadband access to the Internet
- •Familiarity with mobile phones and is within a cellular network range the majority of the day.
- •Is able to speak and read English.
- •Is at least 19 years of age.
排除标准
- •Hearing or voice impairment preventing participation in psychotherapy.
- •Visual impairment that would prevent use of the website, mobile phone application, and assessment materials.
- •Has any psychiatric condition for which participation in a clinical trial of psychotherapy may be either inappropriate or dangerous (e.g., psychotic disorders, bipolar disorders, dissociative disorders, etc.).
- •Planning to be out of town or unavailable for intervention for 1 or more weeks during the scheduled study participation.
- •Exhibits severe suicidality, including ideation, plan, and intent.
结局指标
主要结局
Depression, as assessed the Patient Health Questionnaire-9
时间窗: Baseline, Weeks 2-6
次要结局
- Positive Affect (PANAS - Positive Affect Scale)(Baseline, Weeks 2-6)
- Anxiety (GAD-7)(Baseline, Weeks 2-6)
研究者
David Mohr
Director, Center for Behavioral Intervention Technologies; Professor, Department of Preventive Medicine
Northwestern University
