SCH: ChangeGradients: Promoting Adolescent Health Behavior Change with Clinically Integrated Sample-Efficient Policy Gradient Methods

SCH：ChangeGradients：通过临床整合的样本有效政策梯度方法促进青少年健康行为改变

• 批准号: 10532143
• 负责人: ELIZABETH M OZER
• 金额: $ 23.11万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-12-13 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10532143
• 关键词: Adolescent; Adolescent Behavior; Alcohol consumption; Behavior; Behavior Therapy; Behavioral; Clinic; Clinical; Complement; Computer software; Data; Development; Environment; Ethnic Origin; Feedback; Foundations; Generations; Health; Health Personnel; Health behavior; Health behavior change; Home; Individual; Intervention; Investigation; Learning; Link; Machine Learning; Malignant Neoplasms; Methods; Modeling; Outcome; Outpatients; Patient Recruitments; Pediatrics; Policies; Population Heterogeneity; Portal System; Positioning Attribute; Preventive; Preventive healthcare; Psychological reinforcement; Public Health; Research; Research Personnel; Risk; Risk Behaviors; Risk Factors; Sampling; Screening procedure; Self Efficacy; Shapes; Social Environment; Structure; System; Tablets; Visit; Work; adolescent health; adolescent health outcomes; adolescent patient; behavior change; behavioral health; behavioral outcome; binge drinking; clinical practice; computer infrastructure; dashboard; design; digital; electronic health record system; field study; health care quality; health information technology; healthy lifestyle; improved; innovation; laptop; learned behavior; next generation; patient portal; pediatric department; prevent; primary care clinic; social cognitive theory; sociodemographics; substance use; underage drinking; virtual; virtual environment; virtual world; young adult

Because the majority of adolescent health problems are amenable to behavioral intervention and most adolescents visit a healthcare provider once a year, hea lth behavior change interventions linked to clinic- based health information technologies hold significant promise for improving healthcare quality and subsequent behavioral health outcomes for adolescents. Recognizing the potential to leverage advances in machine learning and virtual narrative environments, the field of health behavior change is now well- positioned to design health behavior change systems that extend the reach of clinicians to realize significant impacts on behavior change for adolescent preventive health. With a focus on risky behaviors and an emphasis on alcohol use, the project has two specific aims: (1) design, develop, and iteratively refine a policy-based reinforcement learning behavior change system for preventive adolescent health, and (2) investigate the impact of a clinically integrated sample-efficient policy gradient-based behavior change system on adolescent behavior. The project w ill culminate w ith an investigation of the behavioral effects of the CHANGEGRADIENTS system using adolescent patients recruited from two outpatient primary care clinics within the UCSF Department of Pediatrics: Mt. Zion Pediatrics and the Adolescent/Young Adult Clinic. It is hypothesized that adolescents who interact with CHANGEGRADIENTS with reduce number of days of alcohol use, reduce binge drinking, and increase self-efficacy to engage in healthy behavior a nd avoid risky substance use. It is anticipated that CHANGEGRADIENTS will provide a testbed for a broad range of health behavior change research and serve as the foundation for next-generation personalized preventive healthcare through computationally-enabled behavior change that is designed to be tightly integrated into clinical practice workflow. By taking advantage of the high degree of adaptive interactivity offered by its personalized behavior change environment, CHANGEGRADIENTS holds significant potential for creating compelling interactions that promote self-efficacy and engagement in healthy lifestyle behaviors to prevent cancer through improving cancer-related behaviors and risk factors. REL EVAN CE (Se e in stru cti ons): The proposed research will develop and field test an innovative computationally-enabled personalized behavior change model that will provide a testbed for a broad range of health behavior change research and is designed to be integrated into clinical practice. With adaptive interactivity, CHANGEGRADIENTS holds significant potential for creating compelling interactions that promote self-efficacy and engagement in healthy lifestyle behaviors to prevent cancer through improving cancer-related behaviors and risk factors .

因为大多数青少年健康问题都可以通过行为干预来解决， 青少年每年访问一次医疗保健提供者，健康行为改变干预与诊所有关， 的健康信息技术为改善医疗质量带来了重大希望， 青少年的后续行为健康结果。认识到利用以下方面的进展的潜力 机器学习和虚拟叙事环境，健康行为改变领域现在很好- 定位于设计健康行为改变系统，扩展临床医生的范围， 对青少年预防性健康行为改变的重要影响。 该项目的重点是危险行为和酒精使用，有两个具体目标：（1） 设计，开发和迭代完善基于策略的强化学习行为改变系统， 预防青少年健康，（2）调查临床综合样本效率政策的影响 基于梯度的青少年行为改变系统。该项目将最终与一个 使用招募的青少年患者调查CHANGEGRADIENTS系统的行为效应 来自加州大学旧金山分校儿科系的两个门诊初级保健诊所：锡安儿科和 青少年/年轻人诊所据推测，青少年谁互动的变化辐射 减少饮酒天数，减少酗酒，提高自我效能， 健康行为和避免危险物质使用。 预计CHANGEGRADIENTS将为广泛的健康行为改变提供试验平台 研究并作为下一代个性化预防保健的基础， 通过计算实现的行为改变，旨在与临床实践紧密结合 工作流通过利用其个性化提供的高度自适应交互性， 行为改变环境，CHANGEGRADIENTS具有创造引人注目的 促进自我效能和参与健康生活方式行为的互动，以预防癌症 通过改善与癌症相关的行为和危险因素。 REL EVAN CE（结构部分）： 拟议的研究将开发和现场测试一种创新的计算支持的个性化 行为改变模型，将为广泛的健康行为改变研究提供试验平台 并且被设计为整合到临床实践中。通过自适应交互，CHANGEGRADIENTS 创造引人注目的互动的巨大潜力，促进自我效能和参与 健康的生活方式，通过改善癌症相关行为和危险因素来预防癌症。