RAPID: Documenting Hospital Surge Operations in Responding to the COVID-19 Pandemic

RAPID：记录应对 COVID-19 大流行的医院激增操作

• 批准号: 2029917
• 负责人: Osman Ozaltin
• 金额: $ 12.84万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2029917&HistoricalAwards=false
• 关键词: RAPID; Documenting; Hospital; Surge; Operations

The ongoing COVID-19 pandemic has caused many hospitals to dramatically shift their normal operations, including delaying elective and non-emergency surgeries, to accommodate a surge in critically ill infectious disease patients while still admitting and treating other severe injuries and illnesses not related to COVID-19. This Rapid Response Research (RAPID) grant will support the collection of time-sensitive data from two major hospital systems, Samaritan Health Services in Oregon and MedStar Health System in Washington DC/Maryland, to document changes in admissions patterns due to COVID-19, operational changes in practices to manage the surge, and patient outcomes during the pandemic. The project has the potential to provide important decision support to hospitals as they respond to future pandemics and other mass casualty events and should lead to better understanding of how hospital systems can mount an effective response to these major disturbances.The PIs will collect qualitative and quantitative data to document hospital operations as well as assess patient characteristics and outcomes during the COVID-19 pandemic. Data collection will be sourced from medical records characterizing the patient population treated, health outcomes, including diagnoses, length of stay, treatment, as well as pre-pandemic planning guidelines, real-time operational changes in ICU and hospital bed capacity allocation and staffing, equipment availability, including personal protective equipment and testing equipment, and other hospital, state, and federal interventions. Once collected, analysis of these data is expected to lead to knowledge, through better models and simulation, that can improve response to future pandemics.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.

持续的 COVID-19 大流行已导致许多医院大幅改变其正常运营，包括推迟择期手术和非紧急手术，以容纳激增的重症传染病患者，同时仍收治和治疗与 COVID-19 无关的其他严重伤害和疾病。 这笔快速反应研究 (RAPID) 拨款将支持从两个主要医院系统（俄勒冈州的 Samaritan Health Services 和华盛顿特区/马里兰州的 MedStar Health System）收集时间敏感的数据，以记录因 COVID-19 导致的入院模式的变化、管理激增的做法的操作变化以及大流行期间的患者结果。 该项目有潜力为医院应对未来的流行病和其他大规模伤亡事件提供重要的决策支持，并应有助于更好地了解医院系统如何对这些重大干扰做出有效的反应。PI 将收集定性和定量数据来记录医院运营情况，并评估 COVID-19 大流行期间患者的特征和结果。 数据收集将来自描述所治疗患者群体的医疗记录、健康结果（包括诊断、住院时间、治疗）以及大流行前规划指南、ICU 和医院床位容量分配和人员配置的实时操作变化、设备可用性（包括个人防护设备和测试设备）以及其他医院、州和联邦干预措施。 一旦收集完毕，对这些数据的分析预计将通过更好的模型和模拟产生知识，从而改善对未来流行病的反应。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。