five

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

收藏
DataCite Commons2024-11-19 更新2025-04-09 收录
下载链接:
https://radxdatahub.nih.gov/study/274
下载链接
链接失效反馈
官方服务:
资源简介:
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. This study built 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 study leveraged the partnerships and resources of the Center for Clinical and Translational Science (CCTS) including long-standing community partnerships. Phase III included mixed methods and community-engaged approaches to inform adaptation of existing (and the development of new) multilevel intervention messages, materials and strategies with a focus on increasing rapid SARS-CoV-2 testing. It also included a broader focus on addressing the social determinants of health (SDOH) and an emphasis on combating misinformation. Innovative elements of the study included 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 had 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 and implement the adapted multilevel community just-in-time adaptive intervention (MC-JITAI) to increase SARS-CoV-2 testing, mitigation behaviors, and COVID-19 vaccination, among underserved and vulnerable populations in three regions of Texas and conduct; informed by 1) previously collected data (from Phase II), 2) misinformation monitoring studies, and 3) social network information to improve SARS-CoV-2 testing. Aim 3: Evaluate the adapted (in Aim 2) multilevel community intervention (MC-JITAI) and determine how enhancements based on social networks improves SARS-CoV-2 testing and COVID-19 vaccination, in three regions of Texas. Data shared came from Aim 3 where the intervention was evaluated and were baseline measures of the intervention arm.
提供机构:
NIH Rapid Acceleration of Diagnostics Data Hub (RADx Data Hub)
创建时间:
2024-11-15
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作