Modelers and Storytellers: Transdisciplinary Training to Advance Community Health Intervention Research

建模者和故事讲述者：跨学科培训以推进社区健康干预研究

• 批准号: 10420783
• 负责人: MICHAEL Lee PRELIP
• 金额: $ 16.4万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10420783
• 关键词: Address; Advisory Committees; Affect; Behavioral Sciences; Big Data; Biometry; Canada; Cluster randomized trial; Collaborations; Communities; Community Health; Complex; Computer Models; Computer software; Computing Methodologies; Data Science; Development; Discipline; Eating; Educational Curriculum; Environment; Epidemiology; Evaluation; Familiarity; Family; Foundations; Funding; Generations; Goals; Gold; Health; Health Policy; Health Sciences; Health behavior; Intervention; Intervention Studies; Knowledge; Mathematics; Methods; Modeling; Physical activity; Play; Policies; Policy Maker; Postdoctoral Fellow; Public Health; Reduce health disparities; Research; Research Personnel; Risk; Role; Saskatchewan; Schools; Science; Scientist; Social Sciences; System; Time; Training; Training Programs; Training Support; Translational Research; United States National Institutes of Health; Universities; Work; base; behavioral/social science; cohort; computational reasoning; computer science; design; early childhood; education research; educational atmosphere; experience; health disparity; innovation; insight; interest; large datasets; learning strategy; lens; member; multidisciplinary; obesity in children; pre-doctoral; professor; programs; recruit; research to practice; scale up; skills; social health determinants; summer research; theories; therapy development; trial design; virtual

PROJECT ABSTRACT The accumulation of epidemiologic evidence on the roles that policies, systems and environments (PSE) play in influencing health behaviors such as eating and physical activity has led to increased interest in applying the socio-ecological framework and community-engaged approaches to the development of “multi- level interventions” targeting at-risk communities. Evaluation of such innovative interventions, often to address social determinants of health and reduce health disparities, is often challenged as it may be impractical to use the `gold-standard' cluster randomized trial design. Further, the social and behavioral science theories that provide the foundation for the development of interventions may be overlooked when efforts are made to scale- up an intervention. Systems science methods, which have been used to investigate complex causal mechanisms, have been proposed as an alternative for evaluating such interventions. However, their application, which typically involves computational modeling, requires researchers from disparate disciplines to integrate their knowledge and skills at a level that can be difficult to attain. The proposed summer research education program aims to create a learning environment that will support the training of researchers from diverse disciplines to collaborate effectively with each other and with community stakeholders, with the goal of accelerating the translation of research into practice. Specifically, over three summers, it will (i) provide 75 researchers (pre-docs, postdocs, investigators) interested in addressing social determinants of health, with the basic knowledge and skills necessary for applying systems science and data science methods, while also (ii) providing more advanced knowledge and skills to apply either of these methods as well as foundational knowledge of social and behavioral science theories and approaches, to researchers in quantitative methods-focused disciplines (such as math, computer science, biostatistics). In addition, this program will also (iii) provide a three-week practicum to 30 of the 75 trainees who are interested in gaining hands-on experience in working with large datasets. The proposed program will consist of two components: (i) a 3-week curriculum consisting of virtual didactic sessions with learning activities; and (ii) a 3-week practicum for a subset of trainees who will work closely with each other to build and refine agent-based models and interpret results for policy-makers with the engagement of stakeholders. The recruitment and selection plan will be developed with an equity lens, and with an Advisory Committee providing guidance and oversight. To create the learning environment for this training program, we will select applicants to create a cohort that is also diverse in academic background and lived experiences.

项目摘要 关于政策、系统和环境（PSE）作用的流行病学证据的积累 在影响健康行为，如饮食和身体活动方面的作用， 采用社会生态框架和社区参与的方法， 针对风险社区的”一级干预“。对这种创新干预措施的评价，往往是为了解决 健康的社会决定因素和减少健康差距，往往受到挑战，因为使用这种方法可能不切实际， “金标准”分组随机试验设计。此外，社会和行为科学理论认为， 在努力扩大规模时，为制定干预措施提供基础可能会被忽视---- 进行干预。系统科学方法，已被用于调查复杂的因果关系， 已经提出了一种替代办法来评估这种干预措施。但他们的 应用程序，通常涉及计算建模，需要来自不同学科的研究人员， 将他们的知识和技能结合到一个难以达到的水平。 拟议的夏季研究教育计划旨在创造一个学习环境， 培训来自不同学科的研究人员，使他们能够有效地相互合作， 社区利益攸关方，目标是加快将研究成果转化为实践。具体地说， 在三个夏天，它将（i）提供75名研究人员（前博士，博士后，调查员）感兴趣的， 利用应用系统所需的基本知识和技能，解决健康的社会决定因素 科学和数据科学方法，同时（ii）提供更先进的知识和技能， 这些方法以及社会和行为科学理论的基础知识， 方法，以定量方法为重点的学科（如数学，计算机科学， 生物统计学）。此外，该方案还将（iii）为75名学员中的30名提供为期三周的实习， 有兴趣获得使用大型数据集的实践经验。 拟议的方案将包括两个组成部分：（一）为期3周的课程，包括虚拟教学 （二）为一部分将与以下机构密切合作的学员提供为期3周的实习 相互建立和完善基于代理的模型，并为参与的政策制定者解释结果 利益相关者。招聘和选拔计划将以公平透镜和咨询的方式制定。 委员会提供指导和监督。为了创造这个培训项目的学习环境，我们 将选择申请人创建一个队列，也是不同的学术背景和生活经验。