Development and Implementation of a Clinician-Facing Prognostic Communication Tool for Patients With COVID-19 and Critical Illness

Autor: Lindsay M. Gibbon, Kuang Ning Huang, Shirou Wu, Laura I. Buck, Katherine E. GrayBuck, Neela L. Penumarthy, J. Randall Curtis
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Pain and Symptom Management
ISSN: 0885-3924
DOI: 10.1016/j.jpainsymman.2020.05.005
Popis: Effective prognostication for a novel disease presents significant challenges, especially given the stress induced during a pandemic. We developed a point-of-care tool to summarize outcome data for critically ill patients with COVID-19 and help guide clinicians through a thoughtful prognostication process. Two authors reviewed studies of outcomes of patients with critical illness due to COVID-19 and created a visual infographic tool based on available data. Survival data were supplemented by descriptions of best- and worst-case clinical scenarios. The tool also included prompts for clinician reflection designed to enhance awareness of cognitive biases that may affect prognostic accuracy. This online, open-source COVID-19 Prognostication Tool has been made available to all clinicians at our institution and is updated weekly to reflect evolving data. Our COVID-19 Prognostication Tool may provide a useful approach to promoting consistent and high-quality prognostic communication across a health care system.
Databáze: OpenAIRE