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.

项目总结/摘要 抑郁症是全球疾病相关残疾的头号原因， 在过去的25年里，美国的自杀率大幅上升。年轻人，包括 大学生抑郁症的发病率特别高，但大多数患有临床显著抑郁症的人， 症状不寻求正式治疗。候选人（Adam Horwitz博士）以前的工作表明， 自杀风险高的大学生可能会由于缺乏时间等障碍而拒绝正式治疗， 对治疗的需求低，或获得服务的机会有限。移动的医疗技术提供了有前途的新 克服这些障碍和改善成果的机会。此外，移动的技术的使用也可以在移动通信中实现。 与可穿戴传感器的结合允许收集实时主观和客观数据， 在需要时直接通过干预对情绪变化做出反应的能力。K23的指导 职业发展奖申请提出了一个有重点的研究和培训计划，以促进 候选人过渡到一个独立的职业生涯，以病人为导向的研究，专门从事低负担 情绪和自杀风险的适应性移动的预防干预。具体的研究目的是：1） 使用参与式行动方法，确定目标人群的偏好、参与的障碍， 生态瞬时评估和个性化反馈信息的相关领域;以及2） 进行一项移动的健康个性化反馈干预的试点可行性微观随机试验， 大学生（N = 60）抑郁发作的风险。候选人将通过以下方式实现这些研究目标： 获得具体培训，以获得以下方面的专门知识：1）参与性行动研究干预方法 2）移动健康、微观随机试验和适应性移动的干预开发， 评估;和3）先进的统计分析，移动的，传感器和生态瞬时评估 数据这些培训目标将通过这些内容领域专家的密切指导来实现， 专业培训和教学法，以及应用研究经验。概述的调查结果 调查将提供关于可接受性、可行性、感知的有用性以及 假设的变化机制，以及可用作 在适应性设计中的干预触发。总之，这些发现将直接告知NIH R 01申请 在研究期结束时，寻求评估及时的适应性干预措施， 优化个性化反馈信息的传递，并提供额外的应对技巧，工具，和/或 资源，如有指示。总而言之，本提案中概述的培训和研究机会将 为有前途的候选人提供必要的技能，以开展职业生涯， 有效的适应性移动的干预措施，以减少年轻人的抑郁和自杀。