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

SCH：ChangeGradients：通过临床整合的样本有效策略梯度方法促进健康行为改变

• 批准号: 10379780
• 负责人: ELIZABETH M OZER
• 金额: $ 10.76万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10379780
• 关键词: Address; Adolescent; Adolescent Behavior; Alcohol consumption; Arts; Behavior; Behavior Therapy; Behavioral; Clinic; Clinical; Complement; Computer software; Data; Development; Electronic Health Record; Environment; Feedback; Foundations; Generations; Health; Health Personnel; Health Promotion; 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; Primary Health Care; 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; base; behavior change; behavioral health; behavioral outcome; binge drinking; clinical practice; computer infrastructure; dashboard; design; digital; field study; health care quality; health information technology; healthy lifestyle; improved; innovation; laptop; learned behavior; next generation; patient portal; pediatric department; prevent; 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接受行为干预，并且大多数 青少年每年访问一次医疗保健提供者，与诊所有关的行为改变干预措施 基于的健康信息技术具有改善医疗保健质量和 随后针对青少年的行为健康结果。认识到利用进步的潜力 机器学习和虚拟叙事环境，健康行为的领域变化现在已经很好 定位于设计健康行为变化系统，以扩大临床医生的范围以实现 对青少年预防健康的行为改变的重大影响。 该项目专注于风险行为并强调酒精的使用，具有两个具体的目的：（1） 设计，开发和迭代地完善基于政策的强化学习行为改变系统 预防青春期健康，以及（2）调查临床综合样品效率政策的影响 基于梯度的行为变化系统对青少年行为。该项目最终达到 使用青春期患者招募的青春期患者对变化系统系统的行为效应进行研究 来自加州大学洛杉矶斯夫（UCSF）儿科部的两个门诊初级保健诊所：锡安山小儿山 青少年/年轻成人诊所。假设与变化伴侣互动的青少年 减少饮酒天数，减少暴饮暴食并提高自我效能感 健康的行为和避免使用风险的物质。 预计变化量将为广泛的健康行为变化提供测试床 研究并作为下一代个性化预防保健的基础 旨在紧密整合到临床实践中的计算行为改变 工作流程。通过利用其个性化提供的高度自适应互动性 行为改变环境，变化物具有创造引人注目的巨大潜力 促进自我效能和参与健康生活方式行为以预防癌症的互动 通过改善与癌症相关的行为和危险因素。 相关性（在Stru cti ons中）： 拟议的研究将开发和现场测试创新的计算个性化 行为改变模型，将为广泛的健康行为变化研究提供测试台 并旨在将其整合到临床实践中。具有自适应互动性，变化量 建立令人信服的互动的巨大潜力，以促进自我效能和参与 健康的生活方式行为可以通过改善与癌症相关的行为和危险因素来预防癌症。