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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

基本信息

批准号：
10663806
负责人：
MICHAEL Lee PRELIP
金额：
$ 18.72万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
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/10663806
关键词：
Acceleration 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 Disparate Eating Educational Curriculum Educational process of instructing Environment Epidemiology Equity Evaluation Familiarity Family Foundations Funding Generations Goals 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 behavioral and social science cohort computational reasoning computer science design early childhood education research educational atmosphere experience health disparity innovation insight interest knowledge integration 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

项目摘要

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