Research Project 2

研究项目2

• 批准号: 10672633
• 负责人: Mary C Acri
• 金额: $ 17.6万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-05 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10672633
• 关键词: Adolescent; Adverse reactions; Aggressive behavior; Area; Back; Caring; Child; Child Abuse; Child Abuse and Neglect; Clinical Trials; Collaborations; Complex; Data Science; Dedications; Etiology; Family; Family health status; Funding; Goals; Health; Hospitals; Impairment; Incidence; Intervention; Knowledge; Learning; Mental Depression; Modeling; Outcome; Performance; Post-Traumatic Stress Disorders; Prevention; Probability; Process; Randomized; Recommendation; Research; Research Project Grants; Resources; Risk; Risk Assessment; Risk Reduction; Self Destructive Behavior; Sexual abuse; Substance abuse problem; Technology; Testing; Training; Translating; Translation Process; Visit; adverse outcome; causal model; design; effective intervention; field study; group intervention; implementation intervention; implementation science; improved; insight; maltreatment; member; neglect; outreach; physical abuse; predictive modeling; prevent; preventive intervention; primary care clinic; primary care clinician; primary care setting; satisfaction; school based health center; screening; support tools; tool; tool development; trustworthiness

SUMMARY/ABSTRACT – PROJECT 2 Project 2 of the Center on Causal Data Science for Child and Adolescent Maltreatment Prevention (CHAMP Center) will involve proof-of-concept field testing of a decision support tool developed through collaboration among Project 1, the Resource Core, and the Dissemination & Outreach Core. We will use the findings from Project 2 to test our overarching hypothesis that predictive and causal data science can substantially increase the scale at which maltreatment can be prevented and maltreatment-related outcomes can be mitigated. Effective scalability of appropriate interventions remains a critical obstacle to efforts to reduce child abuse. No matter the strength of the tools to support implementation or the extent to which the knowledge is shared, implementation science cannot reduce the incidence of maltreatment if the intervention to be implemented uniformly targets a small number of causes in all children and families who are at risk. It is thus essential to test whether tools developed using predictive and causal data science are sufficiently effective and safe to warrant their dissemination. In Project 2, we will test whether the personalized and precise approaches developed as part of Project 1 can reduce children’s risk of maltreatment safely and practically. Insights from the conduct of Project 2 will feed back to Project 1, the Resource Core, and the Dissemination & Outreach Core so that these groups can learn from the results and iteratively improve on models and translational processes central to the CHAMP Center. Evidence indicating problems in any of these areas will be considered by relevant members of the cores, who will decide whether to conduct further discovery research or to refine the tools. Decision support tools produced via collaboration among Project 1, the Resource Core, and the Dissemination & Outreach Core will be tested in a clinical trial.

总结/摘要-项目2 儿童和青少年虐待预防因果数据科学中心（CHAMP） 中心）将涉及通过合作开发的决策支持工具的概念验证现场测试 在项目1、资源核心和传播与外联核心之间。我们将使用来自 项目2测试我们的总体假设，即预测和因果数据科学可以大大增加 可以预防虐待和减轻与虐待有关的后果的程度。 适当干预措施的有效扩展仍然是减少虐待儿童努力的一个关键障碍。没有 无论支持实施的工具的强度如何，也无论知识共享的程度如何， 如果要实施的干预措施 统一针对所有面临风险的儿童和家庭中的少数原因。因此，有必要测试 使用预测和因果数据科学开发的工具是否足够有效和安全， 其传播。在项目2中，我们将测试是否个性化和精确的方法， 项目1的一部分可以安全和切实地减少儿童遭受虐待的风险。从下列行为中获得的见解： 项目2将反馈给项目1、资源核心以及传播和外联核心， 小组可以从结果中学习，并迭代地改进模型和翻译过程， CHAMP中心。任何这些领域存在问题的证据都将由 他们将决定是否进行进一步的发现研究或改进工具。决策支持 通过项目1、资源核心和传播与外联核心之间的合作制作的工具 将进行临床试验