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