RAPID: Collecting Supply, Demand, and Matching Data for Assigning Medical Staff to Long Term Care Facilities During the COVID-19 Pandemic

持续的COVID-19大流行导致在长期护理机构治疗患者的临床和非临床人员的需求激增和短缺。事实证明，长期护理设施是2019冠状病毒病爆发的热点，这些设施中的医务人员本身面临着更大的疾病风险，这使得人员配置决策非常困难。该快速反应研究（Rapid）项目将从监督这些设施人员配备的中央机构收集有关人员配备、患病率和缺勤情况的数据。这些数据将有助于支持更好的决策支持工具，以便在日常基础上动态匹配具有不同技能和偏好的医务人员到长期护理机构。该项目将与马萨诸塞州老年事务执行办公室合作，从长期护理机构门户网站收集和存档有关临床和非临床医务人员的日常需求、工作申请、缺勤率、设施测试数据以及每日全州电话会议状态更新的定性信息的数据。作为该项目的一部分收集的数据将有助于改善长期护理机构区域人员配备的动态匹配过程。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The ongoing COVID-19 pandemic has resulted in a surge in demand and shortages of clinical and non-clinical personnel to treat patients in long term care facilities. Long term care facilities have proven to be hotspots for COVID-19 outbreaks and medical personnel in these facilities themselves faced increased risk of disease, making staffing decisions very difficult. This Rapid Response Research (RAPID) project will collect data on staffing, disease prevalence, and absenteeism from a centralized authority that oversees staffing in these facilities. These data will help support better decision support tools to dynamically match medical staff with different skills and preferences to long term care facilities on a daily basis. Working with the the Massachusetts Executive Office of Elder Affairs, the project will collect and archive data from the long term care facility portal on daily needs for clinical and non-clinical medical staff, job applications, absenteeism rates, facility testing data, as well as qualitative information from daily state-wide phone conference status updates. The data collected as part of this project will be valuable in improving the dynamic matching process for regional staffing of long term care facilities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.