Accelerating Health Information Resource Equity for Multiracial Populations

摘要 这项名为“加速多种族人口健康信息资源公平”的提案的目标是 利用图书情报学、健康差距和信息学研究的方法来改进 波多黎各人是一个多种族的人，获得和增加传播关于心血管疾病风险的信息资源 贫富差距人口。波多黎各人面临着独特的风险因素，因为他们的非洲人、土著和 欧洲血统；有很高的心血管疾病危险因素，如吸烟、高血压和糖尿病；以及 经历糟糕的治疗结果。我们计划：1)为波多黎各综合和管理信息资源 关于心血管疾病预防和治疗战略和成果的Ricans；2)开发信息资源 改善对这一人群及其医疗保健提供者的信息共享；以及3)确保有意义的使用 通过多部门协作研究网络传播这些信息资源 以社区参与研究的原则为基础。第一，开发多用户健康信息 为波多黎各社区、他们的医疗保健提供者和图书馆管理员量身定做的资源。第二，我们将 调整医疗信息资源公平架构(HIRE)，该架构利用现有的SciCrunch®- DISCO®信息学平台，为科学研究提供协作和协作的数据和资源发现平台 围绕疾病组织起来的社区。提议的雇用体系结构的目标是创建 以人口为中心而不是以疾病为中心的贫富差距信息资源的信息学框架 人口。

ABSTRACT The goal of this proposal “Accelerating Health Information Resource Equity for Multiracial Populations” is to harness the methods of library and information science, health disparities, and informatics research to improve access to and increase dissemination of information resources on CVD risk for Puerto Ricans, a multiracial disparity population. Puerto Ricans face unique risk factors as a result of their African, indigenous, and European ancestry; have high rates of CVD risk factors, such as smoking, hypertension, and diabetes; and experience poor treatment outcomes. We plan to: 1) synthesize and curate information resources for Puerto Ricans on CVD prevention and treatment strategies and outcomes; 2) develop information resources for improved information sharing to this population and their healthcare providers; and 3) ensure meaningful use and dissemination of these information resources through a multisector collaborative research network grounded in the principles of community-engaged research. First, we will develop multi-user health information resources tailored to Puerto Rican communities, their healthcare providers, and librarians. Second, we will adapt the Health Information Resource Equity architecture (HIRE), which leverages the existing SciCrunch®- Disco® informatics platform, a cooperative and collaborative data and resource discovery platform for scientific communities organized around diseases. The goal of the proposed HIRE architecture is to create an informatics framework for a population-centered, not disease-centered, information resource for disparity populations.