Addressing COVID-19 Testing Disparities in Vulnerable Populations Using a Community JITAI (Just in Time Adaptive Intervention) Approach: RADxUP Phase III

使用社区 JITAI（及时自适应干预）方法解决弱势群体中的 COVID-19 检测差异：RADxUP 第三阶段

• 批准号: 10617103
• 负责人: Cici Bauer
• 金额: $ 109.69万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-12-01 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10617103
• 关键词: 2019-nCoV; Address; Adopted; Attitude; Behavior; Black Populations; COVID-19; COVID-19 disparity; COVID-19 morbidity; COVID-19 severity; COVID-19 surveillance; COVID-19 susceptibility; COVID-19 testing; COVID-19 vaccination; Censuses; Clinical Sciences; Collaborations; Communities; Community Health Aides; Comparison arm; Country; County; Data; Development; Disease; Disparity; Economics; Education and Outreach; Effectiveness; Elements; Foundations; Hispanic Populations; Hospitalization; Individual; Inequity; Infection; Influentials; Information Networks; Infrastructure; Intervention; Light; Machine Learning; Medical; Methods; Minority Groups; Misinformation; Monitor; Not Hispanic or Latino; Pathway Analysis; Pattern; Persons; Phase; Population; RADx Underserved Populations; Resources; Rural Minority; Science; Services; Severe Acute Respiratory Syndrome; Social Network; Source; South Texas; Techniques; Testing; Texas; Time; Translational Research; Trust; Underserved Population; Use Effectiveness; Vaccination; Vaccines; Variant; Vulnerable Populations; Waxes; Work; adaptive intervention; analytical method; antigen test; behavior test; clinical center; community engagement; community partnership; comorbidity; comparison group; contextual factors; design; disparities in morbidity; experience; health disparity; improved; innovation; interest; mortality; mortality disparity; novel; novel strategies; pandemic disease; phase 3 study; population based; racial diversity; randomized trial; rapid testing; risk mitigation; rural setting; social; social computing; social health determinants; social interventions; social media; surveillance data; testing access; therapy design; trend; wastewater surveillance

Vulnerable populations including those with medical comorbidities, people living in rural settings and minorities experience significant COVID-19 disparities. Additionally, Hispanics and Blacks are significantly more likely to be infected and hospitalized when compared to White, Non-Hispanics. The proposed study builds on RADx-UP Phases I & Phase II work reaching these populations in three racially diverse regions: Houston/Harris County, South Texas, and Northeast Texas to increase SARS-CoV-2 testing, vaccination, and risk mitigation behaviors to reduce COVID-19 morbidity, mortality, and inequities among underserved populations in Texas. The proposed study leverages the partnerships and resources of the Center for Clinical and Translational Science (CCTS) including long-standing community partnerships. Phase III will include mixed methods and community-engaged approaches to inform adaptation of our existing (and the development of new) multilevel intervention messages, materials and strategies with a focus on increasing rapid SARS-CoV-2 testing. It will also include a broader focus on addressing the social determinants of health (SDOH) and an emphasis on combating misinformation. Innovative elements of the proposed study include testing a novel approach to optimize community engagement that uses real-time data to inform intervention adaptation and implementation, using advances in social computing and machine learning to better understand patterns of misinformation in social media, and using multilevel social network analysis techniques to increase intervention agility, intensity, and reach. This project has three aims: Aim 1) Expand existing sources of population-based COVID-19 surveillance data to quantify infection, testing and vaccination trends in three Texas regions, and use innovative methods to inform and evaluate the proposed interventions; Aim 2) Adapt, implement and evaluate the multilevel community just-in-time adaptive intervention (MC-JITAI) developed in Phase II to increase SARS-CoV-2 testing, mitigation behaviors, and COVID-19 vaccination, among underserved and vulnerable populations in three regions of Texas; and Aim 3) Determine the feasibility and effectiveness of leveraging multilevel social networks to improve SARS-CoV-2 testing and COVID-19 vaccination, in three regions of Texas.

弱势群体，包括患有合并症的人、居住在农村的人 不同环境和少数群体在 COVID-19 方面存在显着差异。此外，西班牙裔和 与白人相比，黑人被感染和住院的可能性明显更高， 非西班牙裔。拟议的研究建立在 RADx-UP 第一阶段和第二阶段工作的基础上 这些人口分布在三个种族不同的地区：休斯顿/哈里斯县、德克萨斯州南部和 德克萨斯州东北部将加强 SARS-CoV-2 检测、疫苗接种和风险缓解行为，以 降低德克萨斯州服务不足人群中的 COVID-19 发病率、死亡率和不平等现象。 拟议的研究利用了临床和治疗中心的合作伙伴关系和资源 转化科学 (CCTS) 包括长期的社区合作伙伴关系。第三阶段将 包括混合方法和社区参与的方法，以告知适应我们的 现有的（以及新的）多层次干预信息、材料和 重点是增加快速 SARS-CoV-2 检测的策略。它还将包括更广泛的 重点解决健康问题社会决定因素 (SDOH) 并重点打击 误传。拟议研究的创新要素包括测试一种新方法 优化社区参与，使用实时数据来通知干预措施和 实施，利用社会计算和机器学习的进步来更好地理解 社交媒体中的错误信息模式，以及使用多层次社交网络分析 提高干预敏捷性、强度和范围的技术。该项目有三个目标： 目标 1) 扩大基于人群的 COVID-19 监测数据的现有来源以进行量化 德克萨斯州三个地区的感染、检测和疫苗接种趋势，并使用创新方法 告知并评估拟议的干预措施；目标 2) 调整、实施和评估 第二阶段开发的多层次社区即时适应性干预（MC-JITAI） 增加 SARS-CoV-2 检测、缓解行为和 COVID-19 疫苗接种等 德克萨斯州三个地区服务不足和弱势群体；和目标 3) 确定 利用多层次社交网络改善 SARS-CoV-2 的可行性和有效性 在德克萨斯州的三个地区进行检测和 COVID-19 疫苗接种。