Reaching Communities through the Design of Information Visualizations (ReDIVis) Toolbox to Address COVID-19 Vaccine Hesitancy and Uptake.

通过信息可视化设计 (ReDIVis) 工具箱覆盖社区，解决 COVID-19 疫苗的犹豫和使用问题。

• 批准号: 10403763
• 负责人: Adriana Arcia
• 金额: $ 28.45万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-10 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10403763
• 关键词: Address; Area; Bangladeshi; Behavior; Budgets; COVID-19; COVID-19 diagnostic; COVID-19 disparity; COVID-19 pandemic; COVID-19 prevention; COVID-19 test; COVID-19 vaccination; COVID-19 vaccine; Child; Chinese American; Chinese People; Collaborations; Collection; Common Data Element; Communication; Communities; Comprehension; Computer software; Data; Decision Making; Diagnostic tests; Education; Emergency Situation; Focus Groups; Fostering; Funding; Goals; Grant; Group Interviews; Health; Health Professional; Health behavior; Immigrant; Informatics; Knowledge; Latino; Limited English Proficiency; Linguistics; Medical; Methods; Misinformation; New York; New York City; Online Systems; Phase; Process; Qualifying; RADx Underserved Populations; Recommendation; Research; Resources; Surveys; System; Target Populations; Test Result; Underserved Population; Universities; Vaccination; Visualization; Voice; Vulnerable Populations; Work; antibody test; behavior test; community engaged research; community engagement; design; evidence base; health disparity; health literacy; improved; interest; literate; novel; personalized approach; preference; response; social vulnerability; symptom self management; tool; vaccine acceptance; vaccine hesitancy

The alarming disproportionate impact of the COVID-19 pandemic on underserved as well as medically and socially vulnerable populations requires generating new knowledge to help mitigate its effects. We will address existing knowledge gaps in two specific aspects of COVID-19 mitigation strategies – return of SARS-CoV-2 test results and COVID-19 vaccination - through synergistic application of community-engaged research and novel informatics approaches in collaboration with our community partners: the Association to Benefit Children, Project New Yorker, and the Chinese American Planning Council. In addition, for this Supplement, which builds upon our RADx-UP Phase 1 project, Reaching Communities through the Design of Information Visualizations for Returning COVID-19 Results (ReDIVis Toolbox: RCR), we have formed a strategic partnership with the New York City Community Engagement Research Alliance (NYCEAL) Against COVID-19 Disparities to leverage the evidence-informed communication resources of CEAL. The overall goal of Reaching Communities through the Design of Information Visualizations Toolbox (ReDIVis Toolbox: Vaccination) is to decrease health disparities related to COVID-19 vaccination in underserved and vulnerable populations by enabling widespread use of culturally congruent and health literate infographics to decrease vaccine hesitancy and improve vaccine uptake in a manner that is comprehensible, informs decision making, and motivates appropriate behaviors. Our specific aims build upon: (a) our accomplishments to date in our RADx-UP Phase 1 project; (b) the rich resources of the Visualization Design Studio of the Precision in Symptom Self-Management (PriSSM) Center, the qualifying grant for this emergency competitive revision in response to NOT-OD-21-101; and (c) partnership with NYCEAL through a subcontract with New York University. We will use a mixed-methods design to achieve the following specific aims: (1) Advance understanding of the factors that influence comprehension and use of the results of SARS-CoV-2 diagnostic and antibody testing, and COVID-19 vaccine hesitancy and uptake in underserved and vulnerable populations; (2) Collaborate with underserved and vulnerable populations to design infographics for returning the results of SARS-CoV-2 diagnostic and antibody testing, and for addressing vaccine hesitancy and uptake in a format that maximizes comprehension, informs decision making, and motivates action; and (3) Develop, implement, evaluate, and disseminate the ReDIVis Toolbox to create infographics for returning the results of SARS-CoV-2 diagnostic and antibody testing and addressing vaccine hesitancy and uptake. ReDIVis Toolbox: Vaccination directly responds to multiple areas of interest including strategies to communicate culturally and linguistically appropriate information about COVID- 19 vaccines to foster vaccine confidence and acceptance, and dissemination and communication strategies to amplify or extend the reach of the voices of local community leaders/stakeholders and health professionals to promote COVID-19 prevention tools.

2019冠状病毒病大流行对服务不足以及医疗和 社会弱势群体需要创造新的知识，以帮助减轻其影响。我们将解决 在COVID-19缓解战略的两个具体方面存在的知识差距-SARS-CoV-2的回归 测试结果和COVID-19疫苗接种-通过协同应用社区参与的研究和 与我们的社区合作伙伴合作的新信息学方法：造福儿童协会， 纽约客计划和美国华人规划理事会。此外，对于本补编， 在我们的RADx-UP第一阶段项目，通过信息可视化设计接触社区 对于返回COVID-19结果（ReDIVis股票代码：RCR），我们与 纽约市社区参与研究联盟（NYCEAL）反对COVID-19差异， 利用CEAL的循证传播资源。到达社区的总体目标 通过信息可视化设计（ReDIVis）， 在服务不足和脆弱人群中接种COVID-19疫苗的差距， 使用文化上一致的和具有卫生知识的信息图表，以减少疫苗犹豫和改进疫苗接种 以一种可理解的方式吸收，告知决策，并激励适当的行为。我们 具体目标建立在：（a）我们在RADx-UP第1阶段项目中迄今取得的成就;（B）丰富的 精确症状自我管理（PriSSM）中心可视化设计工作室的资源， 为响应NOT-OD-21-101，本次紧急竞争性修订的资格补助金;以及（c） 通过与纽约大学的合作伙伴关系与纽约教育学院建立了伙伴关系。我们将使用混合方法 设计实现以下具体目标：（1）提高对影响因素的认识 理解和使用SARS-CoV-2诊断和抗体检测以及COVID-19疫苗的结果 （2）与服务不足和弱势群体合作， 弱势群体设计信息图表，用于返回SARS-CoV-2诊断和抗体检测结果 测试，并解决疫苗犹豫和吸收的格式，最大限度地提高理解， 决策，并激励行动;（3）开发，实施，评估和传播ReDIVI 制作信息图表，用于返回SARS-CoV-2诊断和抗体检测结果， 解决疫苗犹豫和吸收问题。ReDIVis研究：疫苗接种直接应对多个领域的 兴趣，包括在文化和语言上适当传播有关COVID的信息的策略， 19种疫苗，以促进对疫苗的信心和接受，以及传播和宣传战略， 扩大或扩大当地社区领导人/利益攸关方和卫生专业人员的声音， 推广新冠肺炎预防工具。