Curriculum Development Using Big Data for Cancer Prevention and Control

利用大数据预防和控制癌症的课程开发

• 批准号: 10672276
• 负责人: THERESA W GILLESPIE
• 金额: $ 16.2万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10672276
• 关键词: Address; Behavioral; Big Data; Breast Cancer Detection; COVID-19 pandemic; Cancer Burden; Cancer Control; Cancer Etiology; Cancer Family; Cancer Patient; Caring; Categories; Centers for Disease Control and Prevention (U.S.); Clinical; Collaborations; Communities; Community Networks; Comprehensive Cancer Center; County; Data; Data Analyses; Data Set; Diagnosis; Disease; Dissemination and Implementation; Early Diagnosis; Economic Factors; Economics; Education; Educational Curriculum; Educational Intervention; Evaluation; Evidence based intervention; Evidence based practice; Foundations; Funding; Geography; Goals; Grant; Health; Health behavior; Incidence; Institution; Intervention; Knowledge; Literature; Malignant Neoplasms; Methods; Mission; Needs Assessment; Outcome; Patient Education; Physical environment; Policies; Population; Prevention; Problem-Based Learning; Public Health; Quality of life; Regional Cancer; Rehabilitation therapy; Resources; Review Literature; Risk Factors; Testing; Training; United States; Work; cancer education; cancer health disparity; cancer prevention; clinical care; community involvement; community organizations; curriculum development; demographics; design; disparity reduction; feasibility testing; health equity; improved; informal learning; innovation; large datasets; member; mortality; novel; online course; population based; programs; rural setting; screening; social factors; social health determinants; success; survivorship; tool

Abstract To reduce the burden of cancer among U.S. populations, the NCI, Centers for Disease Control and Prevention (CDC), and other agencies rely on networks of academic, governmental, and community partners to take action in cancer control and education. The range of activities undertaken by community-based organizations (CBOs) is broad and may encompass prevention and screening; diagnosis; treatment; survivorship care; and quality of life for cancer patients and families. The success of these initiatives focuses on precise assessment of community priorities, design and implementation of strategies to address the priorities among their communities, and dissemination and evaluation of evidence-based interventions. Most communities draw from extensive publicly available national datasets that provide details to the county level in each state and serve as the basis for CBO “action plans”, to develop how health equity will be achieved and cancer disparities reduced. Accurate identification and use of national, state, and county data are vital and rely heavily on such organizational capacity in the application of large population-based datasets (Big Data). However, using and applying these large datasets and interpreting data findings are not easily accomplished by CBOs, particularly in rural settings. Currently, no curricula exist aimed at educating and supporting CBOs' engagement with Big Data for cancer program priority assessment, design, and implementation. We hypothesize that developing a unique, essential curriculum designed to train cancer CBOs in Big Data use and application for cancer programs will close this training shortfall, enhance community program quality, and improve population outcomes. To address the stated gaps in the literature and in practical tools to assist cancer CBOs, our Goal is to develop and test a curriculum specifically focused on Using Big Data for Community-Based Cancer Control and Education Programs (BigC3E). The Specific Aims are to: 1) develop a novel curriculum with high potential to improve biomedical, behavioral and/or clinical cancer education targeting members of the lay community involved in the dissemination of health information; 2) test the feasibility, acceptability, and suitability of content with stakeholder members of two large regional Cancer Coalitions in Georgia, and 3) prepare for broad dissemination of the curriculum nationwide. The proposed BigC3E curriculum, including content, delivery, and experiential, problem-based learning approach, is highly innovative and its successful implementation and dissemination would impact community-based cancer control and education programs on a major scale nationwide. Detailed curriculum development and testing methods are proposed, including a robust Evaluation Plan, in partnership with two established community cancer coalitions in Georgia, representing 68 counties and over 200 stakeholders, to contribute to the project's curriculum development, testing, and plans for dissemination. This program will provide the foundation for communities nationwide to enhance their cancer control and education work to fulfill the NCI mission of advancing and distributing scientific knowledge and improving cancer outcomes throughout the U.S.

抽象的 为了减轻美国人口的癌症负担，国家癌症研究所、疾病控制和预防中心 (CDC) 和其他机构依靠学术、政府和社区合作伙伴网络来采取行动 在癌症控制和教育方面。社区组织 (CBO) 开展的活动范围 范围广泛，可能包括预防和筛查；诊断;治疗;幸存者护理；和质量 癌症患者及其家人的生活。这些举措的成功侧重于精确评估 社区优先事项、设计和实施战略以解决社区优先事项， 循证干预措施的传播和评估。大多数社区都从广泛的 公开的国家数据集，为每个州的县级提供详细信息并作为基础 国会预算办公室的“行动计划”，制定如何实现健康公平和减少癌症差异。准确的 国家、州和县数据的识别和使用至关重要，并且在很大程度上依赖于此类组织能力 基于人口的大型数据集（大数据）的应用。然而，使用和应用这些大 社区组织不容易完成数据集和解释数据发现，特别是在农村地区。 目前，尚无旨在教育和支持社区组织参与癌症大数据的课程 计划优先级评估、设计和实施。我们假设开发一种独特的、必要的 旨在培训癌症 CBO 在癌症项目中使用和应用大数据的课程将结束此课程 培训短缺，提高社区计划质量，并改善人口结果。为了解决上述问题 协助癌症 CBO 的文献和实用工具方面存在差距，我们的目标是开发和测试课程 特别关注使用大数据进行基于社区的癌症控制和教育计划（BigC3E）。 具体目标是：1）开发具有很大潜力的新颖课程，以改善生物医学、行为学 和/或针对参与健康传播的非专业社区成员的临床癌症教育 信息; 2）与两大利益相关者测试内容的可行性、可接受性和适用性 乔治亚州地区癌症联盟，以及 3) 为在全国范围内广泛传播课程做好准备。这 拟议的 BigC3E 课程，包括内容、交付和体验式、基于问题的学习方法，是 高度创新，其成功实施和传播将影响社区癌症 在全国范围内开展大规模的控制和教育计划。详细的课程开发和测试 与两个已建立的社区癌症合作提出了方法，包括强有力的评估计划 佐治亚州的联盟，代表 68 个县和 200 多个利益相关者，为该项目的发展做出贡献 课程开发、测试和传播计划。该计划将为 全国社区加强癌症控制和教育工作，以履行 NCI 的使命 在美国各地推进和传播科学知识并改善癌症结果