Low-burden Adaptive Mobile Interventions for Mood and Suicide Risk

针对情绪和自杀风险的低负担自适应移动干预措施

• 批准号: 10700130
• 负责人: Adam Gabriel Horwitz
• 金额: $ 17.25万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-07 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10700130
• 关键词: Alcohol consumption; American; Applied Research; Awareness; Behavioral; Caring; Cause of Death; Cellular Phone; Collection; Counseling; Data; Disease; Early Intervention; Ecological momentary assessment; Effectiveness; Emotional; Enrollment; Evaluation; Evidence based treatment; Feedback; Feeling suicidal; Future; Health Services Accessibility; Health Technology; High Prevalence; Impairment; Individual; Intervention; Intervention Trial; Interview; Investigation; K-Series Research Career Programs; Mental Depression; Mental Health Services; Mentors; Mentorship; Mood Disorders; Moods; Names; Outcome; Participant; Perception; Performance; Persons; Pharmaceutical Preparations; Physical activity; Populations at Risk; Prevalence; Preventive; Psychotherapy; Randomized; Reporting; Research; Research Methodology; Resources; Risk; Sleep; Social Functioning; Statistical Data Interpretation; Structure; Students; Suicide; Suicide attempt; Surveys; Symptoms; Target Populations; Technology; Time; Training; Transcript; United States; United States National Institutes of Health; Waiting Lists; Work; acceptability and feasibility; adaptive intervention; barrier to care; career; clinically significant; college; community based participatory research; coping; depressive symptoms; design; disability; efficacy study; experience; follow-up; heart rate variability; improved outcome; mHealth; machine learning method; mobile computing; mood symptom; mortality; patient oriented research; physical conditioning; preference; prevent; preventive intervention; programs; randomized trial; response; risk mitigation; sensor; skills; smart watch; stressor; suicidal behavior; suicidal risk; therapy design; therapy development; tool; university student; wearable device; wearable sensor technology; young adult

Project Summary/Abstract Depression is the #1 cause of disease-related disability worldwide and prevalence rates for depression and suicide have increased significantly in the United States over the past 25 years. Young adults, including college students, have especially high rates of depression, yet a majority of individuals with clinically significant symptoms do not seek formal treatment. Previous work by the Candidate (Dr. Adam Horwitz) suggests that college students at elevated risk for suicide may decline formal treatment due to barriers such as lack of time, low perceived need for treatment, or limited access to services. Mobile health technologies offer promising new opportunities to overcome these barriers and improve outcomes. Further, the use of mobile technologies in combination with wearable sensors allow for the gathering of real-time subjective and objective data, and an ability to respond to mood changes directly with an intervention at the time it is needed. This K23 Mentored Career Development Award application proposes a program of focused research and training to facilitate the Candidate’s transition to an independent career in patient-oriented research with a specialization in low-burden adaptive mobile preventative interventions for mood and suicide risk. The specific research aims are to: 1) using a participatory action approach, identify the target population preferences, barriers to engagement, and relevant domains for ecological momentary assessments and personalized feedback messages; and 2) conduct a pilot feasibility micro-randomized trial of a mobile health personalized feedback intervention with college students (N = 60) at risk for depressive episodes. The Candidate will pursue these research aims by obtaining specific training to gain expertise in: 1) participatory action research methods for intervention development; 2) mHealth, micro-randomized trials, and adaptive mobile intervention development and evaluation; and 3) advanced statistical analysis for mobile, sensor, and ecological momentary assessment data. These training objectives will be met through close mentorship from experts in these content areas, specialized trainings and didactics, and applied research experiences. Findings from the outlined investigations will provide invaluable pilot data regarding acceptability, feasibility, perceived helpfulness, and hypothesized mechanisms of change, as well as potential features and thresholds that can be used as intervention triggers in an adaptive design. Together, these findings will directly inform an NIH R01 application at the conclusion of the study period seeking to evaluate a just-in-time adaptive intervention designed to optimize the delivery of personalized feedback messages, and provide additional coping tips, tools, and/or resources when indicated. In summary, the training and research opportunities outlined in this proposal will provide the necessary skills for a promising Candidate to launch a career in developing accessible and impactful adaptive mobile interventions to reduce depression and suicide among young people.

项目摘要/摘要 抑郁症是全球与疾病相关残疾的第一名，抑郁症的患病率和 在过去的25年中，美国的自杀率大大增加。年轻人，包括 大学生的抑郁率特别高，但大多数具有临床意义的人 症状不寻求正式治疗。候选人（Adam Horwitz博士）的先前工作表明 自杀风险较高的大学生可能会因缺乏时间等障碍而降低正式治疗 人们对治疗的需求不足或获得服务的机会有限。移动健康技术提供了新的 克服这些障碍并改善结果的机会。此外，在 结合可穿戴传感器，可以收集实时主观和客观数据，以及 需要在需要时直接通过干预来响应情绪变化的能力。这个K23指导了 职业发展奖申请提案提案一项集中研究和培训计划，以促进 候选人过渡到以患者为导向研究的独立职业，专业 自适应移动预防干预措施，以实现情绪和自杀风险。具体研究的目的是：1） 使用参与行动方法，确定目标人群偏好，参与障碍以及 生态瞬时评估和个性化反馈信息的相关领域；和2） 对移动健康个性化的反馈干预措施进行飞行员可行性微型试验 大学生（n = 60）有抑郁症发作的风险。候选人将追求这些研究的目的 获得特定的培训以获得以下方面的专业知识：1）参与行动研究方法进行干预 发展; 2）MHealth，微型试验以及自适应移动干预开发以及 评估; 3）移动，传感器和生态瞬时评估的高级统计分析 数据。这些培训对象将通过这些内容领域的专家的密切指导来实现 专门的培训和教学法以及应用研究经验。概述的发现 调查将提供有关可接受性，可行性，可感知的帮助以及的宝贵试验数据 可以用作变化的假设机制以及可以用作的潜在特征和阈值 干预触发自适应设计。这些发现将共同直接通知NIH R01申请 在研究期结束时，试图评估旨在的即时自适应干预措施 优化个性化反馈消息的交付，并提供其他应对技巧，工具和/或 指示时的资源。总而言之，该提案中概述的培训和研究机会将 为承诺候选人提供必要的技能，以开发可访问的职业和 有影响力的适应性移动干预措施，以减少年轻人的抑郁和自杀。