Improving Public Health Grey Literature Access for the Public Health Workforce

描述（由申请人提供）：拟议项目的长期目标是为公共卫生（PH）工作人员提供更好的高质量，相关PH灰色文献报告，以积极影响PH干预措施的规划，实施和评估。该项目将包括两个组成部分：1）继续以用户为中心的技术系统开发，以及2）部署和评估该系统对县卫生部门公共卫生工作人员任务的影响。 该系统将自动收集基于网络的灰色文献报告（利用根据PH专业人员的输入培训的规则），然后使用PH专家验证的PH干预报告的基本要素模型生成PH灰色文献报告的丰富摘要（Turner等人，出版中）。在开发了一个利用自然语言查询和以结构化、基于模型的摘要显示搜索结果的用户界面之后，该系统将被引入几个州的卫生部门，并进行评估，以确定其对信息流动和使用的影响。 该项目将包括以下内在评价：1）系统收集的灰色文献报告的适当性; 2）基于PH干预模型代表完整报告的摘要的质量和充分性; 3）使用精确度和召回率指标的用户查询检索结果。外部评价将在参与纽约医学科学院正在进行的信息和有效性之间关系研究的PH部门进行。这项研究将提供基线措施。我们将评估：1）使用的便利性和频率，货币的看法，准确性和完整性检索报告的县PH人员，和; 2）系统的使用对信息流的影响和使用的基础上，在县卫生部门的内部成果措施。 这里提出的工作共享公共卫生和国家医学图书馆的使命 通过设计一个利用自然语言处理技术的信息系统， 为公共卫生工作者有效收集和提供高质量的公共卫生灰色文献。

DESCRIPTION (provided by applicant): The long-term objective of the proposed project is to provide the public health (PH) workforce with improved access to high quality, relevant PH grey literature reports in order to positively impact the planning, conducting, and evaluating of PH interventions. The project will consist of two components: 1) continuation of user-focused technical system development, and 2) deployment and evaluation of this system's impact on the tasks of the PH workforce in county health departments. The system will automatically harvest web-based grey literature reports (utilizing rules trained on input from PH professionals) and then produce rich summaries of PH grey literature reports using the model of essential elements of PH intervention reports validated by PH specialists (Turner et al, In Press). After developing a user interface that capitalizes on both natural language querying and the display of search results in a structured, model-based summary, the system will be introduced into several county health departments and evaluated to determine its impact on information flows and uses. The project will include intrinsic evaluations of: 1) the appropriateness of the grey literature reports harvested by the system; 2) the quality and sufficiency of summaries representing the full reports based on the PH intervention model and; 3) retrieval results for users' queries using metrics of precision and recall. Extrinsic evaluation will be done in PH departments participating in the New York Academy of Medicine's ongoing study of the relationship between information and effectiveness. The research will provide baseline measures. We will evaluate: 1) the ease and frequency of use, perceptions of currency, accuracy, and completeness of retrieved reports by county PH personnel, and; 2) impact of the system's usage on information flows and uses based on internal outcome measures within the county health departments. The work proposed here shares both the missions of public health and the National Library of Medicine through the design of an information system that exploits natural language processing technology to efficiently collect and provide access to quality public health grey literature for the public health workforce.