Gray Megan M, Butler Catherine R, Webster Laura B, Tonelli Mark R, Sakata Vicki L, Diekema Douglas S
Department of Pediatrics, University of Washington, Seattle, Washington, USA.
Division of Nephrology, Department of Medicine, University of Washington; Veterans Affairs Health Services Research & Development Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle, Washington, USA.
Disaster Med Public Health Prep. 2022 Feb 10;17:e81. doi: 10.1017/dmp.2021.351.
Plans for allocation of scarce life-sustaining resources during the coronavirus disease 2019 (COVID-19) pandemic often include triage teams, but operational details are lacking, including what patient information is needed to make triage decisions.
A Delphi study among Washington state disaster preparedness experts was performed to develop a list of patient information items needed for triage team decision-making during the COVID-19 pandemic. Experts proposed and rated their agreement with candidate information items during asynchronous Delphi rounds. Consensus was defined as ≥80% agreement. Qualitative analysis was used to describe considerations arising in this deliberation. A timed simulation was performed to evaluate feasibility of data collection from the electronic health record.
Over 3 asynchronous Delphi rounds, 50 experts reached consensus on 24 patient information items, including patients' age, severe or end-stage comorbidities, the reason for and timing of admission, measures of acute respiratory failure, and clinical trajectory. Experts weighed complex considerations around how information items could support effective prognostication, consistency, accuracy, minimizing bias, and operationalizability of the triage process. Data collection took a median of 227 seconds (interquartile range = 205, 298) per patient.
Experts achieved consensus on patient information items that were necessary and appropriate for informing triage teams during the COVID-19 pandemic.
2019年冠状病毒病(COVID-19)大流行期间稀缺的维持生命资源分配计划通常包括分诊团队,但缺乏操作细节,包括做出分诊决策所需的患者信息。
在华盛顿州灾难准备专家中进行了一项德尔菲研究,以制定COVID-19大流行期间分诊团队决策所需的患者信息项目清单。专家们在异步德尔菲轮次中提出并对候选信息项目的同意程度进行评分。共识定义为≥80%的同意率。采用定性分析来描述此次审议中出现的考虑因素。进行了一次定时模拟,以评估从电子健康记录中收集数据的可行性。
在三轮异步德尔菲过程中,50名专家就24项患者信息达成共识,包括患者年龄、严重或终末期合并症、入院原因和时间、急性呼吸衰竭指标以及临床病程。专家们权衡了关于信息项目如何支持有效预后、一致性、准确性、最小化偏差以及分诊过程的可操作性等复杂考虑因素。每位患者的数据收集时间中位数为227秒(四分位间距=205,298)。
专家们就COVID-19大流行期间为分诊团队提供信息所需且合适的患者信息项目达成了共识。