Accelerating Health Information Resource Equity for Multiracial Populations

摘要 该提案“加速多种族人口的健康信息资源公平”的目标是 利用图书馆和信息科学、健康差异和信息学研究的方法来改善 波多黎各人（多种族）获取并加强有关 CVD 风险的信息资源传播 人口差距。波多黎各人由于其非洲裔、土著裔和白人的血统而面临着独特的风险因素。 欧洲血统；有较高的心血管疾病危险因素，如吸烟、高血压和糖尿病；和 经历不良的治疗结果。我们计划：1）综合和管理波多黎各的信息资源 黎加人关于心血管疾病预防和治疗策略及结果的信息； 2）开发信息资源 改善与该人群及其医疗保健提供者的信息共享； 3）确保有意义的使用 并通过多部门合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。首先，我们将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员量身定制的资源。其次，我们将 采用健康信息资源公平架构 (HIRE)，该架构利用现有的 SciCrunch®- Disco®信息学平台，一个合作和协作的数据和资源发现平台，用于科学 围绕疾病组织的社区。拟议的 HIRE 架构的目标是创建一个 以人口为中心而非以疾病为中心的差异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.