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.

摘要 为了减少美国人口的癌症负担，NCI，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采取行动 癌症控制和教育。社区组织开展的活动范围 范围广泛，可能包括预防和筛查;诊断;治疗;生存护理;以及 癌症患者和家庭的生活。这些举措的成功取决于对以下方面的准确评估： 社区优先事项，设计和执行战略，以解决其社区的优先事项， 以及传播和评价循证干预措施。大多数社区从广泛的 公开提供的国家数据集，为每个州的县级提供详细信息，并作为基础 CBO的“行动计划”，以制定如何实现健康公平和减少癌症差异。准确 识别和使用国家、州和县数据至关重要，并在很大程度上依赖于这种组织能力 大数据（Big Data）。然而，使用和应用这些大型 社区组织不容易完成收集数据和解释数据结果的工作，特别是在农村地区。 目前，没有旨在教育和支持社区组织参与癌症大数据的课程 项目优先级评估、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在大数据使用和癌症项目应用方面的课程将关闭这一 培训不足，提高社区项目质量，改善人口成果。为了解决上述问题， 在文献和实际工具，以协助癌症社区组织的差距，我们的目标是开发和测试课程 利用大数据进行社区癌症控制和教育计划（BigC 3E）。 具体目标是：1）开发一种具有高潜力的新型课程，以提高生物医学，行为 和/或临床癌症教育，针对参与传播健康信息的非专业社区成员， 信息; 2）与两大利益相关者成员一起测试内容的可行性，可接受性和适用性 格鲁吉亚的区域癌症联盟，以及3）准备在全国范围内广泛传播该课程。的 建议的BigC 3E课程，包括内容，交付，体验，基于问题的学习方法，是 它的成功实施和传播将对社区癌症防治工作产生影响 在全国范围内开展大规模的防治和教育项目。详细的课程开发和测试 方法，包括一个强大的评估计划，与两个建立社区癌症伙伴关系， 代表68个县和200多个利益攸关方的格鲁吉亚联盟，为该项目的 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， 推进和传播科学知识，改善整个美国的癌症预后。