Improving Family Cancer History Collection using Social Network, Human Centered Design, and Implementation Science Approaches

项目总结 这份F99/K00提案中包含的研究策略和培训计划将促进职业发展 和凯特琳·G·艾伦的研究独立性，公共卫生硕士。这项研究计划旨在提高人们对如何 扩大现有循证遗传学工具的使用范围，如家族癌症史(FCH) 在未得到充分服务的少数族裔人群中。FCH收集是一种简单、成熟的识别个体基因的方法 罹患癌症的风险可以鼓励量身定做的癌症预防和风险分层筛查。尽管 在国家努力下，FCH收集仍然是次优的，在收集方面尤其值得注意的是 非裔美国人家庭。艾伦女士的F99研究和培训将专注于发展她的社交技能 网络分析，以研究个人和家庭网络因素，导致对妇幼保健知识的匮乏。女士。 艾伦已经完成了两项互补的论文研究，直接为拟议的F99提供了信息 研究：1)对家庭健康收集工具进行系统评价，2)开发有效和可靠的量表 用于识别极有可能共享FCH信息的家庭网络成员。她将完成她的人生 该奖项F99阶段的论文研究，将包括：1)50名AA参与者完成他们的 使用FCH收集工具(ItRunsInMyFamily)的FCH，以及2)表征个人和网络级别的因素 通过使用有色生态基因进行个人网络采访来影响FCH收集 关系图技术。为了实现这些目标，她的F99培训目标是：1)磨练专业人才 专业技能、学术写作和研究传播，2)通过以下方式发展科学独立性 加强社会网络分析和相关研究方法的方法和分析技能，以及 3)确定博士后地点和K00导师。艾伦女士的F99培训计划得到了来自 罗林斯公共卫生学院和埃默里大学研究基础设施的优秀导师团队 大学，创造最佳的培训环境。艾伦女士的博士后研究(K00阶段)将扩大 在F99上工作，通过以人为中心的设计增强FCH收集工具(ItRunsInMyFamily) 在以社区为基础的临床环境中的方法和实施该工具。她的培训目标与此相一致 研究阶段包括：1)建立以人为中心的设计和卫生技术评估方面的知识， 2)成为实施科学方面的专家，3)提高专业和研究技能，为准备 一份学术研究的工作。总体而言，综合研究计划和培训目标对于 建立一个成功的、创新的、有意义的学术生涯，专注于扩展癌症特异性 通过支持基于证据的解决方案，为被边缘化和代表性不足的人群提供遗传学发现 例如FCH，以改善癌症预防和早期检测。

PROJECT SUMMARY The research strategy and training plan included in this F99/K00 proposal will enhance the career development and research independence of Caitlin G. Allen, MPH. This research plan aims to advance knowledge of how to expand the reach and uptake of existing evidence-based genetics tools such as family cancer history (FCH) among underserved minority populations. FCH collection is a simple, proven way to identify individual's genetic risk for developing cancer that can encourage tailored cancer prevention and risk-stratified screening. Despite national efforts, FCH collection remains suboptimal with especially noteworthy disparities in collection among African American (AA) families. Ms. Allen's F99 research and training will focus on developing her skills in social network analysis to study individual and family network factors that contribute to poor knowledge of FCH. Ms. Allen has already completed two complementary dissertation studies that directly inform the proposed F99 research: 1) a systematic review of family health collection tools, and 2) development of a valid and reliable scale used to identify family network members that are highly likely to share FCH information. She will complete her dissertation research in the F99 phase of this award, which will involve: 1) 50 AA participants completing their FCH using a FCH collection tool (ItRunsInMyFamily), and 2) characterizing individual- and network-level factors that influence FCH collection by conducting personal network interviews using the Colored Eco-Genetic Relationship Map technique. To accomplish these aims, her F99 training objectives are to: 1) hone professional skills in grantsmanship, academic writing, and research dissemination, 2) develop scientific independence by strengthening methodological and analytic skills in social network analysis and relevant research methods, and 3) identify a postdoctoral site and K00 mentor. Ms. Allen's F99 training plan is bolstered by strong support from an excellent mentorship team at the Rollins School of Public Health and the research infrastructure at Emory University, creating an optimal training environment. Ms. Allen's postdoctoral research (K00 phase) will expand upon F99 work by enhancing a FCH collection tool (ItRunsInMyFamily) through human centered design approaches and implementing this tool in community-based clinical settings. Her training goals aligned with this phase of research includes: 1) building knowledge in human centered design and health technology assessment, 2) becoming an expert in implementation science, and 3) enhancing professional and research skills to prepare for an academic research position. Collectively, the integrated research plan and training goals are critical to establishing a successful, innovative, and meaningful academic career focused on extending cancer-specific genetics discoveries to marginalized and underrepresented populations by supporting evidence-based solutions such as FCH to improve cancer prevention and early-detection.