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.

弱势群体包括患有医疗合并症的人群，居住在农村的人 环境和少数民族经历了显着的共同差距。此外，西班牙裔和 与白人相比，黑人更有可能感染和住院 非西班牙裔。拟议的研究建立在RADX-UP阶段I和II阶段工作的基础上 这些人口在三个种族不同的地区：休斯顿/哈里斯县，南德克萨斯州和 德克萨斯州东北部以增加SARS-COV-2测试，疫苗接种和降低风险行为 德克萨斯州服务不足的人口中，降低了19日的发病率，死亡率和不平等。 拟议的研究利用了临床中心的合作和资源 转化科学（CCT），包括长期的社区伙伴关系。第三阶段会 包括混合方法和社区参与方法，以告知我们的适应我们 现有（以及新的）多层次干预消息，材料和 策略着重于增加快速SARS-COV-2测试。它也将包括更广泛的 专注于解决健康的社会决定因素（SDOH），并强调作战 误传。拟议研究的创新元素包括测试一种新方法 优化使用实时数据为干预适应和 实施，利用社交计算和机器学习方面的进步来更好地理解 社交媒体中错误信息的模式，并使用多级社交网络分析 提高干预敏捷性，强度和触及的技术。该项目有三个目标： 目标1）扩展现有的基于人群的Covid-19-199监视数据来量化 德克萨斯州三个地区的感染，测试和疫苗接种趋势，并使用创新方法 告知和评估拟议的干预措施；目标2）适应，实施和评估 在第二阶段开发的多级社区即时自适应干预（MC-JITAI） 增加SARS-COV-2测试，缓解行为和COVID-19 德克萨斯州三个地区的服务不足和脆弱的人口；目标3）确定 利用多级社交网络改善SARS-COV-2的可行性和有效性 在德克萨斯州的三个地区进行测试和共同疫苗接种。